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Questions and Answers
What defines a between-subject design in an independent groups experiment?
What defines a between-subject design in an independent groups experiment?
Which scenario represents a within-subject design?
Which scenario represents a within-subject design?
What is the purpose of calculating difference scores in dependent samples t-tests?
What is the purpose of calculating difference scores in dependent samples t-tests?
What assumption must be met for using an independent samples t-test?
What assumption must be met for using an independent samples t-test?
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When calculating degrees of freedom for a dependent samples t-test, what should be considered?
When calculating degrees of freedom for a dependent samples t-test, what should be considered?
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In an in situ design, what is essential for forming multiple samples?
In an in situ design, what is essential for forming multiple samples?
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Which statistical test should be used if participants are in both the control and experimental groups?
Which statistical test should be used if participants are in both the control and experimental groups?
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How is the independent samples t-test logically similar to the one sample t-test?
How is the independent samples t-test logically similar to the one sample t-test?
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What distinguishes scientific skepticism from other ways of acquiring knowledge?
What distinguishes scientific skepticism from other ways of acquiring knowledge?
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Which method of acquiring knowledge is characterized by the absence of conscious reasoning?
Which method of acquiring knowledge is characterized by the absence of conscious reasoning?
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What principle entails that a cause must precede its effect?
What principle entails that a cause must precede its effect?
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In which framework are human behaviors believed to be influenced by celestial bodies?
In which framework are human behaviors believed to be influenced by celestial bodies?
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What is one of the goals of scientific psychology?
What is one of the goals of scientific psychology?
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Which philosophical system focuses on empirical observation to form knowledge?
Which philosophical system focuses on empirical observation to form knowledge?
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What is a major problem with acquiring knowledge through authority?
What is a major problem with acquiring knowledge through authority?
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Which statement about replication in research is true?
Which statement about replication in research is true?
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What is the median when there is an odd number of scores?
What is the median when there is an odd number of scores?
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What is the primary purpose of pooled variance in statistical analysis?
What is the primary purpose of pooled variance in statistical analysis?
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Which scenario is the precise median most appropriately used?
Which scenario is the precise median most appropriately used?
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What is a significant characteristic of a one-tailed test compared to a two-tailed test?
What is a significant characteristic of a one-tailed test compared to a two-tailed test?
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What measure describes the average distance from the mean in a dataset?
What measure describes the average distance from the mean in a dataset?
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What does the interquartile range measure?
What does the interquartile range measure?
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In correlation analysis, what is the consequence of nonlinearity in the data?
In correlation analysis, what is the consequence of nonlinearity in the data?
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What type of mean is typically used for rates, such as speed?
What type of mean is typically used for rates, such as speed?
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Which type of correlation is used when one variable is continuous and the other is dichotomous?
Which type of correlation is used when one variable is continuous and the other is dichotomous?
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How is the range defined in terms of a data set?
How is the range defined in terms of a data set?
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What does the coefficient of determination, R², indicate in correlation analysis?
What does the coefficient of determination, R², indicate in correlation analysis?
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What is a frequency distribution?
What is a frequency distribution?
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What should be examined first before calculating a correlation to identify potential issues?
What should be examined first before calculating a correlation to identify potential issues?
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Why might standard deviation not be reported in some instances?
Why might standard deviation not be reported in some instances?
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What is a notable downside to using a two-tailed test?
What is a notable downside to using a two-tailed test?
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Which of the following is true about causation in correlation analysis?
Which of the following is true about causation in correlation analysis?
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What describes a situational variable in research design?
What describes a situational variable in research design?
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What is the primary goal of correlational studies?
What is the primary goal of correlational studies?
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In the example of bystander intervention, what is the response variable?
In the example of bystander intervention, what is the response variable?
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What defines experimental research?
What defines experimental research?
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What is a confounding variable?
What is a confounding variable?
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Which description accurately portrays the concept of 'converging operations'?
Which description accurately portrays the concept of 'converging operations'?
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What could be a third variable influencing the relationship between exercise and happiness?
What could be a third variable influencing the relationship between exercise and happiness?
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In the context of research design, what role does a mediating variable serve?
In the context of research design, what role does a mediating variable serve?
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What is the primary method researchers rely on for disseminating their findings?
What is the primary method researchers rely on for disseminating their findings?
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Which component of measurement refers to a person's actual score, independent of any measurement error?
Which component of measurement refers to a person's actual score, independent of any measurement error?
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What major reasoning flaw do researchers commonly exhibit when proposing tests for a hypothesis?
What major reasoning flaw do researchers commonly exhibit when proposing tests for a hypothesis?
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In the context of falsification, what is a more common outcome researchers face instead of outright rejection of theories?
In the context of falsification, what is a more common outcome researchers face instead of outright rejection of theories?
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What is the purpose of following predefined formats in empirical reports?
What is the purpose of following predefined formats in empirical reports?
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Which of the following statements accurately describes the Wason Selection Task?
Which of the following statements accurately describes the Wason Selection Task?
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What do researchers typically rely on when independent evaluations are required for their studies?
What do researchers typically rely on when independent evaluations are required for their studies?
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What aspect of scientific reasoning does the sequence '2, 4, 6' illustrate?
What aspect of scientific reasoning does the sequence '2, 4, 6' illustrate?
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Study Notes
Metaphysical Systems
- Supernatural explanations attribute behavior to non-physical forces like spirits and deities.
- Animism suggests natural phenomena are alive and influence behavior.
- Mythology/religion propose non-physical forces shape human actions.
- Astrology attributes human behavior to celestial bodies; astronomical events predict behavior.
Philosophical Systems
- Empiricism (David Hume) posits observation as the sole basis for knowledge.
- Positivism (Auguste Comte) emphasizes observation using only senses for knowing.
Methods of Acquiring Knowledge
- Intuition involves knowing or feeling likely outcomes instinctively.
- Absence of conscious reasoning is a key feature of intuition.
- Authority relies on accepting information from authoritative figures.
- Scientific skepticism involves suspending judgment to consider multiple possibilities
- Science necessitates changing perspective when new evidence emerges (unlike intuition or authority).
- Determinism suggests events stem from systematic, predetermined causes.
Covariation of Cause and Effect
- A cause must be present when an effect is present, and absent when the effect is absent.
- Temporal precedence means the cause must precede the effect.
- Elimination of alternative explanations ensures the identified cause is the only responsible factor.
Goals of Scientific Psychology
- Describe behavior
- Predict behavior
- Determine the cause of behavior
- Explain behavior
Types of Research
- Basic research aims to answer fundamental questions.
- Applied research addresses practical problems.
Four Keys of Research
- Replication: Enable others to repeat the study and verify results.
- Testability/falsifiability: Focus on ideas that can be tested and disproven.
- Peer review ensures quality checks on published studies.
- Adversarial process involves comparing differing theories and ideas to formulate new hypotheses, experiments or analyses.
Pseudoscience
- Pseudoscience hypotheses aren't falsifiable.
- Methodology isn't scientific, often relying on anecdotal evidence, authority, or lack of citation.
- Claims aren't revised to account for contradictory information.
Biorhythms
- Human behavior is cyclic, governed by 23-, 28-, and 33-day cycles for physical, emotional, and intellectual states.
Homeopathy
- Substances causing symptoms in healthy individuals can cure the same symptoms in sick people.
Phrenology
- Personality traits are linked to skull bumps.
Critical Evaluation of Research
- Assess data sources' credibility and potential conflicts of interest.
- Check for funding biases.
Introduction to Statistics
- Statistics is a decision-making process, aiding in understanding data patterns.
- Descriptive statistics measure characteristics (mean, median, standard deviation).
- Inferential statistics uses sample data to make inferences about larger populations.
Displays of Data
- Properly formatted charts and tables are used in statistics.
- Cause-and-effect relationships require careful visualizations to avoid misinterpretations.
Frequency Distribution
- Frequency distributions summarize the frequency of data points in different categories.
Three Common Distributions
- Mode: most frequent data occurrence
- Median: middle value in sorted data
- Mean: average of data points
Ethical Concerns in Research
- Risk assessment and informed consent are crucial considerations in research involving humans or animals.
- Potential risks and benefits to participants must be analysed and balanced.
- Institutions like CIHR, NSERC, and SSHRC have guidelines for research involving humans and animals.
- Participants should have the free choice to participate, without duress.
Withholding Information and Deception
- Withholding information can affect participants and invalidate the study findings.
- Deception is sometimes necessary, but ethics boards have strong limits in certain study types.
Debriefing
- Debriefing is required when experiments impact a participant's psychological or physiological state.
Animal Research Ethics
- Research ethics committees ensure animal welfare.
Descriptive Statistics
- Document sources, characteristics, and appropriate comparisons for statistical data.
Random Sampling/Biased Sampling
- Random sampling ensures each member of the population has an equal chance of being in the sample.
Variable Types
- Discrete variable values are mutually exclusive (indivisible categories e.g. number of children in a family).
- Continuous variable values can be measured on a continuous scale (e.g. age, height).
- Dichotomous variable values have two distinct categories (e.g. male/female).
Measurement Scales
- Nominal: conveys information about categories but cannot show order.
- Ordinal: has nominal features plus an order, but interval sizes are not consistent.
- Interval: has ordinal features plus equal intervals, but the zero point is arbitrary.
- Ratio: has interval features plus a meaningful zero point.
Central Tendency
- Mean: the average.
- Median: the middle value.
- Mode: the most frequent value.
Variability
- Range: difference between highest and lowest score in a distribution.
- Interquartile range (IQR): middle 50% of the distribution
- Standard deviations: describes the typical distance of scores from the mean.
Standard Deviation
- Describes the average or typical distance in data points from the mean.
Percentile
- A percentile describes the percentage of scores in a distribution that are below or equal to a particular score.
Normal Distributions and Z-scores
- Normal distributions are common in data sets.
- Z-scores describe how many standard deviations a score is from the mean of the distribution.
Sampling
- Population: The total group of people or entities of interest.
- Sample: A subset of the population used for research.
Sampling Error
- A sample statistic (e.g. average) can vary versus the parameter of interest (population average).
Probability of Sampling Error
- The probability that the sample mean will deviate from the true population mean is quantified using the standard error.
One-Sample t-tests
- When the population standard deviation is unknown, the t-test is used.
Dependent Sample t-tests
- Used when individuals are measured more than once (or groups are naturally paired).
Independent Sample t-tests
- Used with two groups composed of different individuals.
- The assumption is that the two samples are independent of each other.
Correlation
- Correlation represents the linear relationship between two variables.
Correlation Coefficient
- Value of r (-1 to +1), indicating the strength and direction of the relationship.
Significance Tests
- Significance tests provide the chance that obtained results occurred by chance.
Coefficient of Determination (R2)
- The proportion of variance in one variable explained by the other variable.
Regression Analysis
- Used to predict values of one variable based on values of one or more other variables.
- Focus on the relationship between the dependent & independent variable.
Multiple Regression
- Measures the relationship between multiple independent variables and one dependent variable.
Spearman's Correlation
- Measures the degree of association between ordinal variables.
- Focuses on the monotonic relationship (direction).
Point-Biserial Correlation
- The correlation between one continuous and one dichotomous variable.
Phi Correlation
- Used to measure the degree of association between two dichotomous variables.
Content Validity
- The test measures all the intended aspects of the construct(s).
Predictive Validity
- The ability of a measure to forecast future behaviour.
Concurrent Validity
- The extent to which scores are related to a criterion measured at the same time.
Convergent Validity
- Scores on a measure relate to scores on other measures of similar constructs.
Discriminant Validity
- Scores on a measure do NOT relate to measures of different constructs.
Face Validity
- The measure appears, at superficial level, to measure what it intends to.
Reactivity
- Presence of the researcher impacts participant behaviour.
- Participants modify behaviour due to awareness of being observed.
Reliability
- Consistency of measurement.
- Test-retest reliability concerns consistency over time.
- Internal consistency examines consistency among items within a measure.
- Inter-rater reliability estimates agreement among different raters.
Validity
- Accuracy and appropriateness of a measurement.
- Content validity ensures the measure covers important aspects of the construct.
- Criterion-related validity links the measure to a relevant criterion.
- Construct validity indicates how well a measure captures conceptual underpinnings.
- Face validity assesses how well the measure seems to capture what it purports to measure.
Experimental Control
- Holding variables, other than independent variable, constant allows researchers to isolate the effects of the independent variable.
- Minimizing extraneous factors reduces interference in the study results.
Third Variables (Confounding Variables)
- Factors that can influence both the independent and dependent variables.
Artificial Settings
- Studies conducted in controlled environments that might not fully reflect real-world circumstances.
Participant Variables
- Characteristics of participants such as age, gender, background, socioeconomic status.
Issues with Experiments
- Artificiality in setting.
- Ethical considerations in involving participants.
- Participant differences across different study groups.
Descriptive Research
- Describe the characteristics and behaviors of a group or event.
- Non-experimental studies gather data but do not manipulate variables.
Statistical Analyses
- Used to evaluate data patterns for strength and existence of a relationship between variables.
Interpretation of Results
- Integrating previous research or theory to explain observed effects or relationships.
Qualitative Research
- Interpretations focused on understanding human experiences within a specific context.
- Involves generating meaning from data in a conversational context.
Archival Research
- Uses existing data sources (historical records, public records, polling statistics, communication reports) to generate new insights and interpret patterns.
Observation (Quantitative & Qualitative)
- Quantitative: involves observing and quantifying behaviours.
- Qualitative: involves describing and interpreting behaviours and experiences within the context of the setting of study.
- Concealed observation has ethical issues, yet can be useful.
- Participation in observation may change participant behaviour.
Naturalistic Observation
Involves observing behavior in natural settings without manipulations.
Systematic Observation
- Focuses on observing specific behaviours.
- Useful when looking for common or recurring features in behaviour.
Case Studies
- An in-depth analysis of individuals or groups over time (also known as longitudinal studies).
- Useful for investigating rare or unusual occurrences.
Research Hypotheses
- More specific versions of theories.
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Description
Test your understanding of key concepts in psychology research methods, including between-subject designs, within-subject designs, and statistical analyses like t-tests. This quiz covers essential principles and assumptions necessary for conducting experiments in psychology.