Correlation vs Causation
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Questions and Answers

John Clarke's quote, "Early to bed and early to rise, makes a man healthy, wealthy, and wise," is used to introduce what broader statistical concept?

  • The necessity of drawing summary statements about health, wealth and wisdom.
  • The challenge of determining causality versus correlation between observed properties. (correct)
  • The importance of directly measuring health, wealth and wisdom using a variety of methods.
  • How early bedtime causally leads to improvements in wealth status.

What is the primary limitation of only measuring and summarizing data, without further analysis?

  • It is impossible to get participation from a wide sample of subjects.
  • It does not allow for any kind of pictorial representation of the sample.
  • It is impossible to accurately measure the sample's health, wealth and wisdom.
  • It prevents drawing conclusions about causal relationships between variables. (correct)

If a researcher observes that students who sleep more hours tend to recall more country names, what statistical technique would best help determine if there's a relationship (but not necessarily causal) between these variables?

  • Descriptive statistics (mean, median, mode)
  • Causal inference modeling
  • Frequency distribution analysis
  • Correlation analysis (correct)

A researcher collects data on hours of sleep and the number of countries named in one minute. Why is it premature to conclude that sleep deprivation causes poor memory based solely on this data?

<p>Because the data only indicates the <em>relationship</em> between the variables, not causality. (B)</p> Signup and view all the answers

A study finds a strong positive correlation between hours of sleep and cognitive function. What conclusion can be reliably drawn from this finding?

<p>There is an association between sleep and cognitive function. (B)</p> Signup and view all the answers

What does establishing 'causation' between two variables require, beyond simply observing a correlation?

<p>Determining that one variable directly influences the other. (C)</p> Signup and view all the answers

A researcher wants to investigate whether a new study technique causes better exam scores. Which research design would be most appropriate for establishing causation?

<p>Experimental study where one group uses the new technique and another does not, then exam scores are compared. (B)</p> Signup and view all the answers

A study shows a correlation between ice cream sales and crime rates. Based on this, what is the most appropriate conclusion?

<p>There is a relationship between ice cream sales and crime rates, but causation cannot be determined from the data. (A)</p> Signup and view all the answers

Which of the following best describes a variable, as defined in the text?

<p>A property that can take on multiple values. (C)</p> Signup and view all the answers

What is the key characteristic of synchronized patterns of variation between two variables?

<p>Variations in one variable are mirrored by variations in the other. (C)</p> Signup and view all the answers

How does the concept of correlation enable us to make predictions?

<p>Correlation helps us estimate the value of one variable based on the known value of another. (B)</p> Signup and view all the answers

Why are predictions based on correlations not always perfectly accurate?

<p>Correlations indicate a relationship, but individual exceptions can occur. (C)</p> Signup and view all the answers

What does the direction of a correlation indicate?

<p>Whether the relationship is positive or negative. (A)</p> Signup and view all the answers

What is a positive correlation?

<p>As one variable increases, the other variable also tends to increase. (B)</p> Signup and view all the answers

What does the correlation coefficient, denoted as 'r', measure?

<p>Both the direction and strength of the correlation. (C)</p> Signup and view all the answers

What is the possible range of values for the correlation coefficient 'r'?

<p>-1 to 1 (B)</p> Signup and view all the answers

If the correlation coefficient 'r' between height and weight is 0.8, what can you infer?

<p>There is a strong positive correlation between height and weight. (D)</p> Signup and view all the answers

Which of the following is an example of a negative correlation?

<p>As exercise increases, weight decreases. (B)</p> Signup and view all the answers

What does it mean if two variables have a correlation coefficient (r) close to 0?

<p>There is little to no linear correlation. (A)</p> Signup and view all the answers

Why is understanding correlation valuable despite its limitations in predicting outcomes?

<p>Correlations offer insights for informed estimations and decisions. (A)</p> Signup and view all the answers

If a study finds a strong positive correlation between ice cream sales and crime rates, what is the most accurate interpretation?

<p>A third variable, like temperature, may influence both ice cream sales and crime rates. (D)</p> Signup and view all the answers

In the context of research, what is the primary benefit of identifying correlations between variables?

<p>Generating hypotheses for further testing. (A)</p> Signup and view all the answers

A researcher observes that students who attend more classes tend to have higher grades. What can they appropriately conclude based solely on this observation?

<p>There is a correlation between class attendance and grades. (D)</p> Signup and view all the answers

In an experiment designed to test the effect of a new drug on reaction time, what would be the independent variable?

<p>The specific dosage of the new drug administered. (A)</p> Signup and view all the answers

In an experiment, what is the primary purpose of manipulating a variable?

<p>To determine the causal impact of the manipulated variable on another variable. (B)</p> Signup and view all the answers

Why is comparing the measurements of a dependent variable across different conditions essential in experimental research?

<p>It allows researchers to determine if changes in the independent variable caused changes in the dependent variable. (A)</p> Signup and view all the answers

A researcher is studying the effect of room temperature on test performance. One group takes a test in a cold room, and another group takes the same test in a warm room. What is the dependent variable?

<p>The test performance of the groups. (B)</p> Signup and view all the answers

What distinguishes an experiment from observational studies in determining causality?

<p>Experiments involve manipulating one or more variables whereas observational studies do not. (B)</p> Signup and view all the answers

In the context of experimentation, what does 'manipulation' specifically involve?

<p>Actively changing the value of a variable to observe its effects. (A)</p> Signup and view all the answers

A company wants to know if a new website design will lead to more sales. They split their traffic, sending half to the old site and half to the new one. What is the independent variable in this experiment?

<p>The website design (old vs. new). (B)</p> Signup and view all the answers

Which of the following best describes the relationship between the independent and dependent variables in an experiment?

<p>Changes in the independent variable are observed to see their effect on the dependent variable. (B)</p> Signup and view all the answers

Why is it important for the independent variable to be determined entirely by the experimenter?

<p>To assert a clear cause-and-effect relationship between the variables. (B)</p> Signup and view all the answers

In an experiment studying the impact of sleep deprivation on cognitive performance, participants are either allowed to sleep normally or are kept awake for 24 hours. What constitutes the 'conditions' in this scenario?

<p>The differing amounts of sleep each participant gets. (C)</p> Signup and view all the answers

A researcher wants to study the effect of a new fertilizer on plant growth. They apply the fertilizer to one group of plants and not to another. The group that does not receive the fertilizer is the:

<p>Control group. (C)</p> Signup and view all the answers

What is the primary benefit of using an experimental design to study the relationship between media violence and aggression, compared to observational studies?

<p>Experimental designs allow researchers to establish the direction of cause and effect more definitively. (C)</p> Signup and view all the answers

A website is testing two versions of a landing page. Version A shows a customer testimonial, while Version B does not. They measure the conversion rate (percentage of visitors who make a purchase) for each version. What is the dependent variable?

<p>The conversion rate. (A)</p> Signup and view all the answers

Consider a study where participants are given different doses of caffeine to test its effect on alertness. Which of the following represents a manipulation in this experiment?

<p>Administering varying amounts of caffeine to different groups of participants. (D)</p> Signup and view all the answers

In an experiment, what is the primary reason for dividing participants into different 'conditions'?

<p>To create groups that experience different levels or types of the independent variable. (A)</p> Signup and view all the answers

A researcher observes a correlation between the number of hours students spend studying and their exam scores. What is the most significant limitation of concluding that more study time directly causes higher scores?

<p>The correlation might be spurious due to the third-variable problem. (A)</p> Signup and view all the answers

Which of these scenarios best illustrates the 'third-variable problem' in correlational research?

<p>A study finds that ice cream sales and crime rates increase simultaneously during the summer; temperature is identified as a confounding variable. (D)</p> Signup and view all the answers

To establish a causal relationship between media violence and aggression, what is the primary advantage of using experimentation over observational studies?

<p>Experimentation allows researchers to manipulate the independent variable and randomly assign participants to conditions, controlling for confounding variables. (D)</p> Signup and view all the answers

In the context of research methodology, what is the purpose of 'manipulation' in an experiment?

<p>To create different conditions or levels of the independent variable to observe their effect on the dependent variable. (C)</p> Signup and view all the answers

A researcher is investigating whether a new drug improves memory. Participants in the experimental group receive the drug, while those in the control group receive a placebo. What is the purpose of the placebo in this experiment?

<p>To control for the expectancy effects and participant bias. (D)</p> Signup and view all the answers

A study finds a correlation between the number of firefighters at a fire and the amount of damage caused by the fire. Which of the following is the most likely explanation for this correlation, considering the third-variable problem?

<p>Larger fires require more firefighters and also cause more damage, with the size of the fire being the third variable. (B)</p> Signup and view all the answers

In an experiment, why is random assignment of participants to different conditions important?

<p>To minimize the effects of confounding variables and create equivalent groups. (A)</p> Signup and view all the answers

What is the key difference between a correlational study and an experimental study?

<p>Experimental studies can establish causality, while correlational studies can only identify relationships between variables. (A)</p> Signup and view all the answers

A researcher wants to determine if a new fertilizer increases crop yield. They plant crops in multiple plots, applying the fertilizer to some plots and not to others, and then measure the yield. What additional step is crucial to making this an experiment rather than simply an observation?

<p>Randomly assigning which plots receive the fertilizer and which do not. (D)</p> Signup and view all the answers

In the context of identifying causality, what does the statement 'Correlation does not equal causation' primarily warn against?

<p>Assuming that if two variables are related, one must be causing the other without considering other factors. (B)</p> Signup and view all the answers

A soft drink company runs a promotion giving away free merchandise with purchases. Sales increase during the promotion. What is a potential third variable that could explain the increase?

<p>A general increase in consumer spending during the time of the promotion. (D)</p> Signup and view all the answers

In an experiment examining the effect of sleep on test performance, a researcher notices that participants who slept longer also had more time to study. What is this an example of?

<p>A confounding variable. (B)</p> Signup and view all the answers

How does manipulation help establish causation?

<p>Manipulation allows the researcher to control the independent variable. (A)</p> Signup and view all the answers

What is the problem with interpreting natural correlations?

<p>They cannot determine causation. (D)</p> Signup and view all the answers

A study finds a correlation between shoe size and reading ability in elementary school children. What is the most likely confounding variable?

<p>Age (A)</p> Signup and view all the answers

In the context of experimental design, what is the primary issue caused by allowing participants to self-select their experimental condition?

<p>It introduces potential third variables that can confound the results. (B)</p> Signup and view all the answers

Why does flipping a coin help control for confounding variables in experimental design?

<p>It distributes potential confounding variables randomly across conditions. (A)</p> Signup and view all the answers

In an experiment, if children who choose to play violent video games at the start of a study also exhibit higher levels of aggression, what threat to internal validity is most likely present?

<p>Self-selection bias (B)</p> Signup and view all the answers

What is the key advantage of random assignment in experimental research?

<p>It minimizes the impact of third variables on the relationship between independent and dependent variables. (A)</p> Signup and view all the answers

Why is it difficult to establish a causal link between buying self-help books and recovery rates from illnesses?

<p>People who buy self-help books may have other health-related behaviors that influence recovery. (C)</p> Signup and view all the answers

What does the phrase 'the independent variable was not truly independent' mean in the context of the video game experiment?

<p>The children's pre-existing characteristics influenced which video game they played. (C)</p> Signup and view all the answers

What is the most accurate interpretation of the statement, 'Apparently, it just doesn’t pay to be polite'?

<p>Allowing participants to choose their condition introduces bias. (C)</p> Signup and view all the answers

Imagine a study finds a correlation between time spent on social media and increased feelings of loneliness. Why can't the researchers definitively conclude that social media causes loneliness, based solely on this correlation?

<p>People who are already lonely might be more likely to spend time on social media. (A)</p> Signup and view all the answers

In the Facebook example, the rise of the AfD party on Facebook correlated with hate crimes in Germany. What is the most significant limitation in concluding that Facebook directly caused the hate crimes?

<p>Hate crimes are always influenced by a multitude of factors, not just online activity. (D)</p> Signup and view all the answers

If researchers find that students who use a particular study app perform better on exams, what is a potential self-selection issue that could weaken the conclusion that the app improves exam performance?

<p>Students who are already more motivated to study may be more likely to use the app. (A)</p> Signup and view all the answers

A researcher wants to study the effectiveness of a new therapy for anxiety. Participants are allowed to choose whether they receive the new therapy or continue with their existing treatment. What problem might arise?

<p>Those who choose the new therapy may already be more motivated to improve. (D)</p> Signup and view all the answers

In a study examining the impact of exercise on mood, participants who regularly exercise are compared to those who don't. What is the most significant self-selection bias likely to affect such a study?

<p>Participants who choose to exercise may have genetic predispositions for better mood. (D)</p> Signup and view all the answers

When is random assignment most crucial in experimental design?

<p>When there are likely pre-existing differences between participants. (B)</p> Signup and view all the answers

How does random assignment address the issue of potential third variables in an experiment?

<p>It ensures that the third variables are evenly distributed between the conditions. (A)</p> Signup and view all the answers

What is the purpose of random assignment?

<p>To distribute potential confounding variables evenly across treatment groups. (D)</p> Signup and view all the answers

In the study examining the relationship between anti-refugee Facebook posts and violent crimes, what critical advantage did German internet service interruptions provide to the researchers?

<p>They acted as a natural manipulation of the number of hate posts, allowing observation of its impact on hate crimes. (B)</p> Signup and view all the answers

What is the MOST accurate interpretation of the statement 'p < .05' in psychological research?

<p>There is less than a 5% chance that the results are due to random chance. (D)</p> Signup and view all the answers

How does random assignment address the third-variable problem in experimental research?

<p>By distributing potential third variables equally across all experimental conditions. (B)</p> Signup and view all the answers

Why is it important for psychologists to calculate the probability that differences between experimental conditions are due to chance?

<p>To determine if the observed results are likely due to the manipulation of the independent variable rather than random variation. (D)</p> Signup and view all the answers

In the context of research methods, what is the PRIMARY purpose of random assignment?

<p>To minimize the influence of confounding variables. (D)</p> Signup and view all the answers

What does it mean when researchers state that 'random assignment has failed' in an experiment?

<p>The groups ended up significantly different on a variable that could influence the results. (C)</p> Signup and view all the answers

Why did Luis Alvarez use probability theory after experiencing a startling coincidence?

<p>To determine the actual likelihood of the coincidence and avoid jumping to conclusions. (B)</p> Signup and view all the answers

According to the content, why are people prone to underestimating the likelihood of coincidences?

<p>Because of inherent biases in how humans perceive and process information. (A)</p> Signup and view all the answers

Why is establishing causation in real-world settings a challenge for psychologists?

<p>Because real-world settings lack the controlled environment necessary to manipulate variables and isolate cause-and-effect relationships. (D)</p> Signup and view all the answers

In the context of experimental design, what does 'internal validity' primarily ensure?

<p>That the observed effects are genuinely due to the manipulated variables. (B)</p> Signup and view all the answers

What is the MOST significant limitation of relying solely on correlational data to understand the relationship between two variables?

<p>Correlational data cannot establish cause-and-effect relationships due to the third-variable problem. (D)</p> Signup and view all the answers

What is the significance of the phrase 'as we defined that variable' when drawing conclusions from an experiment?

<p>It acknowledges the limitations imposed by the operational definition of the variables. (D)</p> Signup and view all the answers

In the study about hate speech and hate crimes, which aspect of the research design MOST strengthened the causal inference?

<p>The random interruptions in internet service that acted as a natural experiment. (D)</p> Signup and view all the answers

What does 'external validity' refer to in the context of experimental design?

<p>That the variables are operationally defined in a representative way, reflecting real-world conditions. (A)</p> Signup and view all the answers

What PRIMARY problem does random assignment aim to solve?

<p>The third-variable problem (B)</p> Signup and view all the answers

Why is it inappropriate to broadly conclude that 'media violence causes aggressiveness' based solely on a single experiment?

<p>Because the conclusion must be restricted to the specific operational definitions and population studied. (B)</p> Signup and view all the answers

If a study finds a statistically significant result, but random assignment has failed, what is the MOST appropriate conclusion?

<p>The results should be interpreted with caution due to the potential influence of confounding variables. (C)</p> Signup and view all the answers

A researcher finds a correlation between ice cream sales and crime rates. What is the MOST likely explanation for this correlation?

<p>A third variable, such as warm weather, influences both ice cream sales and crime rates. (C)</p> Signup and view all the answers

How could the operational definition of 'exposure to media violence' influence the results of an experiment?

<p>It could affect whether a causal relationship between media violence and aggression is found. (B)</p> Signup and view all the answers

What is the main point of the 'birthday problem' example (betting that two people in a group share a birthday)?

<p>To demonstrate how people often misjudge probabilities. (A)</p> Signup and view all the answers

In experimental design, what is the benefit of manipulating a variable in a laboratory setting, compared to observing naturally occurring correlations?

<p>Laboratory manipulation allows for stronger causal inference. (C)</p> Signup and view all the answers

In the account of coincidences, what key element transforms a simple coincidence into a seemingly significant or 'spooky' event?

<p>The emotional impact and personal interpretation given to the coincidence. (C)</p> Signup and view all the answers

What is the PRIMARY reason psychologists use statistical tests?

<p>To determine the probability that their results are due to chance. (A)</p> Signup and view all the answers

What is the BEST way to address the problem of failed random assignment?

<p>Use statistical techniques to control for the variables on which the groups differ. (C)</p> Signup and view all the answers

When an experiment has high internal validity and finds a statistically significant result (p < .05), what specific kind of conclusion is justified?

<p>A restricted causal inference limited by operational definitions and the studied population. (A)</p> Signup and view all the answers

Why might operational definitions used in an experiment not fully represent real-world scenarios?

<p>Practical or ethical constraints may necessitate simplified or alternative measurements. (B)</p> Signup and view all the answers

According to the content, what would be 'the most astonishingly incredible coincidence imaginable'?

<p>The complete absence of all coincidences. (D)</p> Signup and view all the answers

What is the significance of acknowledging 'in the people we studied' when drawing conclusions about causality from experiments?

<p>It acknowledges that the results might not generalize to other populations. (C)</p> Signup and view all the answers

How does the text suggest you could exploit people's misunderstanding of coincidences for personal gain?

<p>By offering to bet on common coincidences, like shared birthdays, where the odds are in your favor. (C)</p> Signup and view all the answers

What does the example of the potato in a restaurant from Idaho illustrate in the context of coincidences?

<p>That coincidences can occur due to shared context or experiences. (B)</p> Signup and view all the answers

What is the defining characteristic of random sampling?

<p>Every member of the population has an equal chance of being included in the sample. (B)</p> Signup and view all the answers

Why is a sample obtained through random sampling considered valuable in research?

<p>It allows researchers to generalize findings from the sample to the larger population. (A)</p> Signup and view all the answers

In the context of research, what does it mean to 'generalize from the sample to the population'?

<p>To conclude that observations made in the sample would likely be observed in the entire population. (A)</p> Signup and view all the answers

Why does the cherry-picking example illustrate the importance of random sampling?

<p>It shows how non-random selection can lead to a biased and unrepresentative sample. (D)</p> Signup and view all the answers

What is a common limitation of psychological studies regarding sampling?

<p>Most studies rely on nonrandom samples, often composed of volunteers and university students. (D)</p> Signup and view all the answers

According to the content, what percentage of people that psychologists study come from countries that have just 12% of the world’s population?

<p>96% (B)</p> Signup and view all the answers

Why is the heavy reliance on WEIRD (Western, Educated, Industrialized, Rich, and Democratic) populations a potential problem for generalizing psychological findings?

<p>Psychological processes may differ across cultures, limiting the applicability of findings from WEIRD samples to other populations. (B)</p> Signup and view all the answers

Why might psychologists choose to use nonrandom samples despite the limitations?

<p>Practical constraints, such as resource limitations and participant availability, often make random sampling difficult or impossible. (A)</p> Signup and view all the answers

In what circumstances might the representativeness of a sample not be critically important in a study?

<p>When the study seeks to disprove a universal claim or theory. (D)</p> Signup and view all the answers

In research, what does the term 'external validity' primarily refer to?

<p>The degree to which the experimental setup mirrors real-world conditions. (B)</p> Signup and view all the answers

The example about the pig flying over the Calgary Saddledome illustrates what principle?

<p>That a single contradictory observation can disprove a universal theory, regardless of sample representativeness. (D)</p> Signup and view all the answers

Why do most psychology experiments not prioritize external validity, despite its apparent importance?

<p>Psychology experiments are primarily designed to test theoretical hypotheses under controlled conditions. (A)</p> Signup and view all the answers

What question should researchers ask themselves to determine if the representativeness of their sample is a reasonable assumption?

<p>Do I have a compelling reason to believe that the people in my sample behave differently than everyone else would? (D)</p> Signup and view all the answers

In the context of a physics experiment testing the relationship between molecular motion and temperature, why is the artificiality of using lasers to slow molecules not a major concern?

<p>The theory being tested generates specific predictions applicable even in artificial laboratory conditions. (D)</p> Signup and view all the answers

How do well-constructed theories contribute to the design and interpretation of experiments?

<p>Theories generate specific, testable hypotheses that experiments can evaluate under controlled conditions. (C)</p> Signup and view all the answers

Why might the effects of a new medicine tested on a nonrandom sample of mice still be relevant to humans?

<p>Certain biological effects are conserved across species, making the results potentially generalizable despite the nonrandom sample. (C)</p> Signup and view all the answers

The 1948 election polling demonstrates what potential pitfall in research?

<p>The risk of biased samples leading to inaccurate conclusions. (B)</p> Signup and view all the answers

What conclusion can be drawn if children playing a violent video game in a lab setting exhibit more aggressive behavior compared to children playing a non-violent game?

<p>The specific theory stating media violence has no influence on aggression is disproven. (D)</p> Signup and view all the answers

The example of the 1948 US election where polls predicted Dewey would defeat Truman illustrates:

<p>Non-random sampling can lead to inaccurate predictions due to bias. (D)</p> Signup and view all the answers

How would you describe the primary purpose of most psychology experiments?

<p>To test hypotheses derived from theories under controlled conditions. (D)</p> Signup and view all the answers

What is the 'case method' in psychological research, and when is it most likely to be used?

<p>A method of gathering scientific information by studying a single individual. (B)</p> Signup and view all the answers

According to the content, what is a better option, learning about some people or learning about no people?

<p>Learning about some people (C)</p> Signup and view all the answers

In the rat experiment described, what critical realization did the failures to replicate the original 'fear learning' lead scientists to?

<p>That the freezing rat was responding to the uncertainty of threat created by specific contextual factors. (C)</p> Signup and view all the answers

Why do psychologists generally prefer larger sample sizes in their research studies?

<p>Larger samples increase confidence in the findings. (A)</p> Signup and view all the answers

What is a common misconception about scientific phenomena?

<p>Scientific phenomena can be explained via universal laws and context should not matter. (A)</p> Signup and view all the answers

Why might a psychologist choose to study an individual with exceptional memory abilities, such as someone who has memorized a vast number of digits of pi?

<p>To gain insights into the cognitive processes and mechanisms underlying memory function. (D)</p> Signup and view all the answers

How do real-world limitations, such as limited time and resources, affect the sample sizes used in psychological research?

<p>Psychologists often settle for the largest sample size feasible given the constraints. (C)</p> Signup and view all the answers

How does the author characterize the role of replication failures in scientific discovery?

<p>As a valuable scientific clue that can lead to a deeper understanding of the phenomenon under investigation. (D)</p> Signup and view all the answers

In the broader context of scientific inquiry, what does the author suggest is the primary goal of science?

<p>To use a method to quantify doubt about a hypothesis and to find the contexts in which a phenomenon is likely. (B)</p> Signup and view all the answers

Considering the equation $0 < n < N$, what do 'n' and 'N' represent in the context of psychological research?

<p>'n' is the sample size, and 'N' is the population size. (D)</p> Signup and view all the answers

A researcher aims to study the effects of a novel teaching method on student performance. To ensure the results are not due to chance, what factor related to sample size should they consider?

<p>Using a sample size that is as large as realistically possible. (C)</p> Signup and view all the answers

In the context of the rat experiment and the concept of 'fear learning,' what does altering the cage design to allow running away, instead of freezing, demonstrate?

<p>That the same stimulus can produce vastly different behaviors depending on the available responses and environmental context. (B)</p> Signup and view all the answers

What is the most direct way to address concerns about whether experimental results apply to real-world scenarios?

<p>Design the experiment to closely mimic real-world conditions. (C)</p> Signup and view all the answers

What does the author imply about the psychology field, regarding the notion of a reproducibility crisis?

<p>That the perceived 'crisis' is a result of a misunderstanding of how science works, overstating what it should be capable of. (C)</p> Signup and view all the answers

If a psychologist aims to replicate an experiment but fails, what approach does the author suggest they should take?

<p>Treat the failure as a valuable piece of evidence and investigate the contextual differences that may have led to the divergent results. (D)</p> Signup and view all the answers

In what situation would a psychologist most likely use the case study method over a large sample study?

<p>When investigating a rare or unique case that offers specific insights. (D)</p> Signup and view all the answers

How does the real-world example of 'the sky is blue' support the author's argument about context in science?

<p>It demonstrates that even simple statements are only true under specific conditions, highlighting the importance of context. (B)</p> Signup and view all the answers

How does the use of theories impact the development and execution of psychological experiments?

<p>Theories generate testable hypotheses as the foundation for experiments. (C)</p> Signup and view all the answers

Why is it difficult to determine the actual replication rate of studies in psychology?

<p>Because replication studies often don't randomly sample from the entire range of psychology studies and may not use identical methods. (D)</p> Signup and view all the answers

What is a Type I error in research?

<p>Concluding there is a causal relationship between variables when none exists. (C)</p> Signup and view all the answers

Why is a 100% replication rate not necessarily the ideal goal in scientific research?

<p>Because reducing Type I errors to zero would increase the likelihood of Type II errors. (A)</p> Signup and view all the answers

How are Type I and Type II errors related?

<p>Efforts to reduce the likelihood of one type of error often increase the likelihood of the other. (D)</p> Signup and view all the answers

What does the analogy of a home security system illustrate about Type I and Type II errors?

<p>A more sensitive alarm (detecting even small disturbances) will result in more false alarms (Type I errors) but fewer missed burglaries (Type II errors). (A)</p> Signup and view all the answers

What is the best definition of a replication in scientific research?

<p>An experiment that uses the same procedures as a previous experiment but with a new sample from the same population. (A)</p> Signup and view all the answers

Why might a replication study fail to reproduce the results of the original study, even if the original study was not a 'fluke'?

<p>Because of subtle differences in the sample, setting, unmeasured variables, or because of a Type II error in the replication study. (C)</p> Signup and view all the answers

In the context of research, what are 'flukes' and 'flunks'?

<p>'Flukes' are instances where we detect a causal relationship when none exists (Type I error), and 'flunks' are instances where we fail to detect a causal relationship that does exist (Type II error). (A)</p> Signup and view all the answers

Why does the National Academies of Sciences, Engineering, and Medicine disagree with the assessment that psychology is in a state of 'crisis' regarding replication?

<p>Because they concluded the issue is more nuanced and the news reports are overblown, based upon their review of the available replicability evidence. (D)</p> Signup and view all the answers

What is one reason why some studies are labeled as 'bad replications'?

<p>The replication study did not accurately follow the methods of the original study, sometimes because the details were unavailable. (A)</p> Signup and view all the answers

Which of the following research findings would be most concerning from a replication standpoint?

<p>A study on a common social behavior that fails to replicate across different cultural contexts despite using identical methodologies. (A)</p> Signup and view all the answers

A researcher aims to study the effect of a new teaching method on student performance. To minimize Type I error, the researcher should:

<p>Use a more stringent alpha level (e.g., 0.01) for statistical significance. (A)</p> Signup and view all the answers

A pharmaceutical company is testing a new drug. They want to minimize the chance of missing a potentially life-saving medication (i.e., minimize Type II error). What action should they take during their clinical trials?

<p>Increase the sample size to increase the statistical power of the study. (A)</p> Signup and view all the answers

What does it mean for a research finding to be statistically significant at an alpha level of 0.05?

<p>There is a 5% chance that the results are due to random chance or error (Type I error), assuming the null hypothesis is true. (C)</p> Signup and view all the answers

In the context of hypothesis testing, what real-world scenario best illustrates a Type I error?

<p>A burglar alarm going off due to a houseplant, when no intrusion occurred. (A)</p> Signup and view all the answers

What strategy would a psychologist employ if they wanted to minimize Type II errors in their research?

<p>Increasing the sample size to enhance the study's statistical power. (A)</p> Signup and view all the answers

What does a high replication rate in psychological research primarily suggest about the findings?

<p>The findings are more likely to reflect a true and consistent effect. (A)</p> Signup and view all the answers

Imagine a study aiming to prove that a new drug improves memory. If the researchers decide to prioritize avoiding Type I errors, what is a likely consequence?

<p>They might miss a real effect of the drug if it exists. (A)</p> Signup and view all the answers

In the context of research methodology, what does the term 'replication' refer to?

<p>Repeating a study to see if the results are consistent. (B)</p> Signup and view all the answers

According to Lisa Feldman Barrett, what does a failure to replicate in scientific studies necessarily indicate?

<p>The phenomenon might only be true under certain conditions. (C)</p> Signup and view all the answers

How did the discovery that a gene for curly wings in fruit flies only worked in the lab contribute to biological understanding?

<p>It highlighted that a single gene can produce varied characteristics depending on context. (D)</p> Signup and view all the answers

Why is it impossible to achieve 100% certainty about a causal relationship between two variables, even with strong experimental evidence?

<p>Because there's always a chance of unmeasured confounding variables influencing the relationship. (D)</p> Signup and view all the answers

How does prioritizing the avoidance of Type I errors affect the risk of committing Type II errors, and vice versa?

<p>Prioritizing the avoidance of Type I errors increases the risk of Type II errors, and vice versa. (C)</p> Signup and view all the answers

What is the implication if psychology research had a 100% replication rate?

<p>It would suggest that researchers are not exploring novel or complex phenomena. (B)</p> Signup and view all the answers

How did physicists respond when subatomic particles didn't obey Newton's laws of motion?

<p>They realized that Newton's laws were only valid in certain contexts, leading to the development of quantum mechanics. (D)</p> Signup and view all the answers

In fear learning experiments with rats, what context change might lead to a failure to replicate the learned fear response?

<p>Administering a drug that blocks the effects of adrenaline. (D)</p> Signup and view all the answers

What is the main lesson derived from the example of the 'Reproducibility Project' and its findings in psychology?

<p>That failing to reproduce the results validates the importance of replication and potential need to revise the initial hypothesis based on the context. (A)</p> Signup and view all the answers

Beyond the idea of merely repeating studies, what additional element does replication emphasize in scientific investigation?

<p>An encouragement to conduct the same research in separate environments to increase the confidence of causality. (C)</p> Signup and view all the answers

What is the best course of action that scientists are advised to take after study A produces the predicted phenomenon, but study B does not?

<p>Scientists should focus on finding more accurate hypotheses to test. (C)</p> Signup and view all the answers

Flashcards

Correlation

A method to identify if two variables are related.

"Early to bed..."

A suggested relationship: Early to bed, early to rise makes a person healthy, wealthy, and wise.

Correlation Goal

To find if two properties are actually related to each other.

Causation Goal

To find if one property actually causes another.

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Sleep and Memory Data

Measurements showing how sleeping impacts the number of countries recalled.

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Memory Measurement

The number of countries a person can name in one minute.

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Causal Relationship

Concluding that one variable directly influences another.

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Measurement Limitations

Observations showing only how much sleeping and remembering people did.

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Variables

Properties that can have more than one value.

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Predictive Power of Correlations

Using the value of one variable to predict another.

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Positive Correlation

A correlation where both variables increase together.

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Negative Correlation

A correlation where one variable increases as the other decreases.

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Correlation Coefficient (r)

Measures both the direction and strength of a correlation.

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r = 1

Indicates a perfect positive relationship.

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r = -1

Indicates a perfect negative (inverse) relationship.

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r = 0

Indicates no linear relationship between the variables.

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Strength of Correlation

The degree to which variables move together.

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Pattern Recognition

Looking at many measurements and spotting patterns.

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Making Educated Guesses

Estimating outcomes based on known correlations.

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Example of Variables

Sleep affects the number of countries named.

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Variation

The concept of something having different values.

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Range of r

The range of possible values for the correlation coefficient.

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r = 1: Perfect Positive Correlation

Perfect positive correlation where r = 1. As one variable increases, the other increases proportionally.

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r = -1: Perfect Negative Correlation

Perfect negative correlation where r = -1. As one variable increases, the other decreases proportionally.

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r = 0: No Correlation

No correlation where r = 0. Changes in one variable do not systematically affect the other.

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Imperfect Positive Correlation

Education and income are related, but extra education doesn't precisely predict extra income.

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r Value as Exceptions

A rule with exceptions to the rule.

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Strong Correlation

Few exceptions to the rule mean a strong correlation.

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Effect of More Exceptions on 'r'

As the number of exceptions increases, the 'r' value moves towards zero.

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r = 0: Prediction Accuracy

When predictions are no better than random guesses.

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r: Direction and Strength

Sign indicates direction (positive or negative); absolute value indicates strength.

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Closer to Zero

The closer to 0 on the number line, the weaker the corelation

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Scatter plots

A graph containing plotted data that shows you if there is a visible corelation

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Closer to One

The closer to 1 or -1 on the number line, the stronger the corelation

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Manipulation (in research)

Actively changing the value of a variable to determine its causal effect on another.

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Condition (in an experiment)

One of the specific settings or versions of the independent variable in an experiment.

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Independent Variable

The variable that is manipulated by the experimenter to observe its effect.

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Dependent Variable

The variable that is measured to see if it is affected by the independent variable.

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Experimentation

The core steps for discovering relationships between variable. Involving manipulation, measuring and comparison

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Manipulate (variable)

Actively changing the value of a variable.

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Measure (variable)

Quantifying or assessing the value of a specific variable.

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Compare (in experiments)

Evaluating the measured values across different experimental conditions.

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Step 1 of Experimentation

First step: manipulate the independent variable.

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Step 2 of Experimentation

Second step: measure the dependent variable.

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Step 3 of Experimentation

Third step: compare values across conditions.

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Random Assignment

Each participant has an equal chance of being assigned to any group.

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Consistent conditions (Experiment)

Ensuring groups are only different by the manipulation of the the independent variable.

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Experimental Group

The experimental group gets the treatment being tested.

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Control Group

The control group receives no intervention to compare with the experimental group.

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Self-Selection Bias

A problem in experiments where participants choose their exposure to the independent variable.

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Purpose of Random Assignment

Ensures groups are equal on every possible variable at the start of an experiment.

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Third Variable Problem

A variable, other than the independent variable, that could affect the dependent variable.

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Video Game Assignment

To determine the video game each child plays flip a coin.

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Definition of Random Assignment

A procedure that assigns participants to conditions by chance.

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Random Assignment Benefit

Assigning participants to conditions by chance to equalize groups.

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Experiment Difference

Exposure to media violence would be the only difference between the two conditions.

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Experiment Equal Numbers

Equal numbers of mean children and sweet children, of older children and younger children

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Assignments of Violent Video Games

Roughly half the children would be assigned to play violent video games and roughly half would be assigned to play nonviolent video games

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The Creation of Facebook

A Web site called “The Facebook” so that he and his fellow students could learn about each other online.

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Facebook Actions

Facebook posts lead people to do terrible things in the real world, such as commit arson, or assault, or even murder?

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Germany Study Facebook Presence

Conducted a study in Germany, where a right-wing anti-immigrant party (the Alternative für Deutschland, or AfD) had recently developed a significant presence on Facebook.

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Facebook Benefits

Facebook lets us post videos of our pets, share stories of our vacations, and find out what people we barely know had for lunch

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Natural Correlation

An association observed in the real world, indicating a relationship between variables but not necessarily causation.

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Causes of Correlation

Possible causal relationships between two correlated variables (X and Y) include X causing Y, Y causing X, or a third variable Z causing both X and Y.

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Eliminating Causes in Experiments

A method used in experiments to eliminate two of the three possible causes of natural correlation (X→Y, Y→X, or Z→X&Y).

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Techniques in Experimentation

Techniques (manipulation and random assignment) used in experimentation to establish the causal relationship between variables by eliminating alternative explanations.

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Manipulation

Actively changing the value of a variable (independent) to see its effect on another variable (dependent).

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Equal Probability

Ensuring that participants are equally likely to be assigned to either the experimental group or the control group.

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Causation

A technique for determining the cause-and-effect relationship between variables.

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Natural manipulation

Manipulating a variable in a real-world setting to observe its impact.

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Real-world Correlation Limitation

Observing a correlation in a natural setting may lack evidence of causation.

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Laboratory Causation Limitation

Establishing causation in a controlled environment might not generalize to real-world situations.

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Roughly equal

The two conditions are having roughly equal on average.

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Random Assignment Failure

Random assignment failures lead to condition differences due to chance.

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Statistical testing

An approach to know if the diferences between conditions were due to manipulation.

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P-value

The probability that the observed differences are due to chance.

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Statistical significance

A result is unlikely to have occurred by chance.

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Extrasensory Perception (ESP)

A belief in phenomena that defy scientific explanation.

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Calculating Odds

Calculating the likelihood results were due to chance.

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Random assignment is not perfect

Tool that doesn't work every time you use it.

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Truly Amazing Coincidence

The subjective feeling that a coincidence is more improbable than it actually is.

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Underestimating Coincidences

Underestimating how likely coincidences are to occur.

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Internal Validity

An experiment attribute that allows causal relationship establishment.

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Operational Definitions

The variables and measures as defined for the experiment.

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External Validity

Extends the scope of the experiment to real-world conditions and populations.

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Representative Definition

An experiment attribute where variables are defined representatively.

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"As We Defined That Variable"

Acknowledging that variables are defined in a study-specific way.

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"In the People We Studied"

Acknowledging that results apply to the specific group studied.

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"It is Likely That"

A limit regarding the certainty of research outcomes.

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Operational Definition

The way we decide to observe and measure the properties.

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Real-World Definition

Operational definitions should reflect real-world scenarios.

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Defining Violence

Watching gory axe murders, can increase aggressiveness.

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Defining Aggressiveness

Interrupting another person rather than acting violently.

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Group of 24 People

The importance of sample size

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Shared Birthday

It shows how participants share a birthday

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Representative Variables

Variables in an experiment defined as they typically exist in the real world.

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Case Method

A method of gathering data by studying a single individual.

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Population (N)

The full group of individuals that you are interested in studying.

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Sample (n)

A smaller group of people, taken from the population, who participate in your study.

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N

The size of the population.

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n

The size of the sample.

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Sample size importance

Psychologists use the largest samples they can get for more reliable results.

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Aggressiveness Hypothesis

Exposure to media violence and aggressiveness leads to what children do in the laboratory.

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Purpose of Experiments

Scientists create set circumstances, test the hypotheses, and see if what they predicted is supported.

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Theories and Hypotheses

Theories allow us to generate hypotheses about what can, must, or will happen under particular circumstances

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Experiments and Real Life

An experiment designed to test a hypothesis derived from a theory may not resemble everyday life.

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Theory of Heat

Physicists theorize heat results in the rapid motion of molecules.

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Falsifiable Hypothesis

Heat is reduced when molecules are slowed.

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Sample (n)

A smaller group of people, taken from the population, who participate in your study.

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Fear Learning

Learning where a neutral stimulus becomes associated with a fearful event.

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Universal Law Assumption

The idea phenomena should be explainable by universal rules, regardless of surrounding conditions.

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Context

The surrounding conditions that influence a phenomenon or experiment.

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Replication

Repeating an experiment to see if the same results are obtained.

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Uncertainty of Threat

Understanding that an animal's reaction is due to the uncertainty of environmental threats.

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Failure to Replicate

Discrepancies that can arise when trying to reproduce the results of a scientific study.

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Science

A process for reducing doubt about a hypothesis and finding the situations under which it is likely to occur.

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Context Matters

An indication of differences in results based on changes to the experiment's conditions.

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Random Sampling

A technique where every population member has an equal chance of being included in the sample.

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Representative Sample

A sample that accurately reflects the characteristics of the larger population.

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Generalization

Drawing conclusions about an entire population based on observations from a subset.

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Nonrandom Samples

Selecting specific individuals for a sample in a way that is not random.

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Volunteer Bias

Participants volunteer instead of being randomly selected from a population.

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Sample Representativeness

The idea that a sample's representativeness isn't always critical for certain research questions.

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Existence Proof

Focusing on whether something can happen at all, rather than how often it happens.

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Reasonable Assumption

Assuming that a sample behaves similarly to the general population unless there's a good reason to think otherwise.

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Generalization Errors

The mistake of generalizing results from a nonrandom, potentially biased sample.

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Sampling Bias

When certain groups are over-represented in a sample due to how data was collected

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Prediction Errors

Mistakenly predicting an outcome due to a non-representative sample.

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Limited Scope Conclusion

Concluding that something is impossible based on limited observation.

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Convenience Samples

Psychologists often rely on convenience samples due to practical constraints.

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Replication Crisis

The impression that initial findings from an experiment are incorrect due to a failure to replicate results.

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Non-representative samples

The idea that because replication attempts use a non-random sample from psychology, they don't represent the entire discipline.

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Type I Error

Concluding a relationship exists between variables when it doesn't (false positive).

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Type II Error

Concluding no relationship exists between variables when it does (false negative).

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Fluke

Incorrectly detecting a causal relationship.

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Flunk

Failing to detect a causal relationship that is actually present.

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Error Trade-off

Raising the likelihood of one type of error increases the likelihood of the other.

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Ideal Replication

An experiment repeating a previous one, ideally with identical conditions and samples.

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False Negative

Concluding no causal relationship exists when one actually does.

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False Positive

Concluding a causal relationship exists when one actually doesn't.

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Ideal results

The degree to which an experiment's results are consistent across multiple tests.

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Replication Rate

The proportion of studies failing to produce the same results when repeated.

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Unrepresentative study

A study that doesn't accurately reflect the broader field of research.

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Bad Replications

Using different procedures than the original experiment.

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Type I Error (Fluke)

Detecting something that isn't there (false positive).

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Type II Error (Flunk)

Failing to detect something that is there (false negative).

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Statistical Power

The chance of finding what you have predicted if it is really there.

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Error Balance

Deciding which type of error is more acceptable in research.

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False Conclusion

Concluding a relationship exists when it might not.

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Missed Discovery

Missing an important discovery because of strict criteria.

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Likely Causal Relationship

Evidence suggesting a relationship, but not proving it.

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Conditional Truth

A well-designed study can fail to replicate if a variable changes.

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Failure Isn't Fatal

Normal part of science when other scientists can't repeat results.

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Conflicting results

Repeating a study and getting conflicting results

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Error Balance

Psychologists try to strike and equal balance to reduce error in their experiments.

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Replicability

Repeating a study and getting similar results.

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Study Notes

  • In 1639, John Clarke suggested that early rising leads to health, wealth, and wisdom.
  • Techniques exist to measure these traits and describe them, but cannot determine if early rising causes them.
  • The text explores techniques to determine relationships between properties like wisdom and bedtime.
  • It examines techniques to determine if one property (bedtime) causes another (wisdom).
  • Conclusion drawing looks at what these techniques can and cannot tell us.

Correlation

  • Initial assumptions based on measurements instantly reveal patterns
  • Sleep deprivation can lead to poor memory

Synchronized Patterns of Variation

  • Measuring variables involves identifying properties capable of assuming various values.
  • A variable's value can fluctuate, such as the number of days in a month or insect legs.
  • The quantity of days per week remains constant at seven
  • The number of syllables in a haiku is always 17.
  • When students are questioned about sleep, their responses vary, ranging from 0 to 24.
  • When asked how many countries they can name, students can name between 0 and 195.
  • Measurements are taken repeatedly to observe patterns.
  • Patterns of variation in columns displaying similar changes are synchronized.
  • Correlation: When variations in one variable align with variations in another.
  • When two variables show synchronized patterns, they are considered correlated
  • Correlated variables allow prediction of one variable's value based on the other, saving time and effort.
  • Correlations enable informed estimations without the need for direct measurement.
  • Though beneficial, correlations do not guarantee perfect accuracy in predictions.

Measuring the Direction and Strength of a Correlation

  • Statisticians assess prediction accuracy via correlation direction and strength measurements.
  • Correlation direction is either positive or negative.
  • Positive correlation: More of one variable aligns with more of another.
  • Negative correlation: More of one variable aligns with less of another.
  • The correlation coefficient (r) measures correlation direction and strength.
  • The value of r ranges from -1 to 1
  • If every time the value of a variable increases by a certain amount, the value of a second variable also increases by a certain amount, then the variables have a perfect positive correlation and r = 1
  • If every time the value of a variable increases by a certain amount, the value of a second variable decreases by a certain amount, then the variables have a perfect negative correlation and r = −1
  • If every time the value of a variable increases by a certain amount, the value of a second variable neither increases nor decreases systematically, then the variables have no correlation and r = 0
  • Real-world correlations are not perfect, with exceptions affecting prediction accuracy.
  • Exception size and number determine r's position between 0 and 1.
  • Value of r determines the accuracy of predictions, moving from 1 to 0 as exceptions increase.

Causation

  • Natural correlation: Observed in the real world and indicates variable relationships without proving causation.
  • Studies reveal a correlation between child aggressiveness and media violence exposure.
  • More media violence exposure aligns with more aggressive behavior.

The Third-Variable Problem: Correlation Is Not Causation

  • Exposure to media violence (X) might cause aggressiveness (Y): X → Y.
  • Aggressiveness (Y) might cause exposure to media violence (X): Y → X.
  • A third variable (Z) might independently cause both aggressiveness and exposure to media violence: Z → X & Y.
  • Third-variable problem: Natural correlation between X and Y doesn't confirm a causal relationship due to potential influence from a third variable.

Experimentation: Establishing Causation

  • Experimentation: Establishes causal relationships between variables.
  • Manipulation and random assignment eliminate possible correlation causes.
  • Manipulation: Actively changing the value of a variable to determine its causal impact.
  • Rather than observing natural correlations, experiments manipulate one variable and measure another.
  • Exposure is manipulated by providing children with violent or nonviolent video games creating a violent exposure condition and a nonviolent exposure condition.
  • Aggressiveness is measured by observing behaviors such as pushing to the front of a line or opinions on animal cruelty
  • Comparing aggressiveness measurements across conditions assesses the impact of media violence exposure.
  • If aggressiveness is measured through the children’s actions, measurement error could be introduced
  • Experimentation allows the establishment of causal relationships between variables.
  • Manipulate: Experimenters control the independent variable creating at least two conditions.
  • Measure: experimenters measure the dependent variable.
  • Compare: Experimenters compare the dependent variable values across conditions.

Random Assignment: Making Sure Conditions Differ in Just One Way

  • Self-selection causes the indepedent variable to potentially be reliant on other factors
  • Random assignment: Assigning participants to conditions by chance.
  • Random assignment leads to equal groups, eliminating third-variable concerns.
  • Random assignment ensures any observed dependent variable differences are due to independent variable manipulation.

Statistical Testing: Making Sure Conditions Don’t Differ by Chance

  • Random assignment may occasionally lead to unequal mean children so it may fail.
  • Statistical significance is determined with less than a 5% chance that the results were due to dumb luck
  • This is also known as p < .05
  • Many things that occur can be chalked up to dumb luck.

Drawing Conclusions

  • Internal validity: Allows causal relationship establishment within an experiment.
  • Conclusions must acknowledge operational definitions, study population, and likelihood.
  • “It is likely that media violence as we defined that variable caused aggressiveness as we defined that variable in the people we studied.”

The Representativeness Restriction: “As We Defined That Variable …”

  • Results are heavily dependent on variable operational definitions.
  • External validity: Variables are defined representatively, aligning with real-world definitions.
  • External validity is important is the end goal of the experiement aligns with real world concerns.
  • Theories and hypotheses should inform experiment design, not everyday life replication.

The Generalizability Restriction: “In the People We Studied …”

  • Case method: Gathering data by studying a single individual.
  • Population size is signified by the uppercase letter N
  • Sample size is signified by the lowercase letter n
  • 0 < n < N
  • Psychologists try to use the largest samples possible even though in real life there are limitations with time, access to participants and funds.
  • Random sampling: Ensuring every population member has an equal chance of sample inclusion to draw correlations .
  • Random sampling helps create generalized theories
  • Nonrandom samples are a common occurance in psychology experiments because there are often limitations or the sample is not required
  • Representative sample is a standard consideration in any study

The Reliability Restriction: “It Is Likely That …”

  • Replication: Repeating procedures with a new sample from the same population.
  • Reports exists of experiments being unable to replicate the result suggesting a fluke
  • There is not data to suggest the real data replication rate

Type I and Type II Errors

  • Type I error: Concluding a causal relationship exists when it doesn't (false positive).
  • Type II error: Concluding a causal relationship doesn't exist when it does (false negative).
  • Reducing one error type increases the likelihood of the other.
  • Psychologists balance minimizing error risks based on the specific situation.
  • Even with the best evidence, conclusions are about likelihood, not certainty.
  • Replication strengthens confidence in causal relationships.

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Description

This covers the basic principles of correlation vs. causation. It explains the importance of statistics versus summaries. It also goes over limitations of drawing conclusions from data.

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