105 MC CONT 1 ETHICS
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Questions and Answers

What is the first core principle of research involving human participants according to the Tri-Council Policy Statement (TCPS)?

  • Concern for welfare
  • Informed consent
  • Justice
  • Respect for persons (correct)
  • What does 'concern for welfare' imply in the context of research ethics?

  • Participants should be informed of all risks and benefits before participating.
  • Researchers should prioritize the well-being of the research team.
  • Participants should be compensated for their time.
  • Researchers should consider potential risks and benefits to participants. (correct)
  • Which of the following is NOT a rule governing the conduct of psychological research?

  • Compensation (correct)
  • Deception
  • Confidentiality
  • Informed consent
  • Which of the following is a key ethical principle related to the use of animals in research?

    <p>Minimizing suffering and maximizing the benefits of the research. (C)</p> Signup and view all the answers

    In the context of ethical research practices, what does 'deception' refer to?

    <p>Withholding information from participants about the true purpose of the study. (A)</p> Signup and view all the answers

    What is the ethical principle that dictates sharing research data with other researchers?

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

    Which of the following is NOT a component of the '3 Rs' for ethical animal research?

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

    Which ethical principle emphasizes the fairness and impartiality in distributing benefits and risks in research?

    <p>Justice (D)</p> Signup and view all the answers

    What does variability measure in a distribution?

    <p>The width of the distribution (B)</p> Signup and view all the answers

    What is the formula for calculating the range in a frequency distribution?

    <p>Largest measurement minus smallest measurement (B)</p> Signup and view all the answers

    Which of the following best describes the standard deviation?

    <p>The statistic that describes the average difference from the mean (C)</p> Signup and view all the answers

    What does correlation indicate in the context of variable relationships?

    <p>Synchronized variations between two variables (D)</p> Signup and view all the answers

    In research, what is a variable defined as?

    <p>A property that can have more than one value (D)</p> Signup and view all the answers

    What is a frequency distribution?

    <p>A graphic representation showing how often each measurement occurs (A)</p> Signup and view all the answers

    Which of the following describes a normal distribution?

    <p>A distribution that is mathematically defined with values concentrated around the middle (B)</p> Signup and view all the answers

    What are descriptive statistics designed to provide?

    <p>Summary statements about essential information from a dataset (C)</p> Signup and view all the answers

    Which of the following is NOT a measure of central tendency?

    <p>Standard deviation (C)</p> Signup and view all the answers

    What can a skewed distribution indicate?

    <p>Presence of extreme values that affect the distribution shape (C)</p> Signup and view all the answers

    What best describes a sample in research psychology?

    <p>A random selection of individuals that represent the population (A)</p> Signup and view all the answers

    What is the primary limitation of everyday observation?

    <p>It is often inconsistent and incomplete. (D)</p> Signup and view all the answers

    What does the mode represent in a dataset?

    <p>The most frequently occurring value (A)</p> Signup and view all the answers

    What does an operational definition specifically describe?

    <p>A property in measurable terms. (B)</p> Signup and view all the answers

    How do graphic representations aid in data analysis?

    <p>They provide a visual context for understanding data distributions (B)</p> Signup and view all the answers

    Which of the following is NOT a key feature of a good operational definition?

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

    What best defines reliability in measurement?

    <p>The tendency for a measure to give consistent results. (D)</p> Signup and view all the answers

    What is power in the context of measurement?

    <p>The ability to detect specified conditions. (A)</p> Signup and view all the answers

    Why might judges in ice dancing be considered reliable in their ratings?

    <p>They consistently rate qualities of performance. (B)</p> Signup and view all the answers

    In the example of Usain Bolt and Yohan Blake's race times, why is measurement power important?

    <p>To prevent judges from misinterpreting closely timed results. (C)</p> Signup and view all the answers

    What are the two steps in the measurement of a property?

    <p>Measurement and description. (C)</p> Signup and view all the answers

    What does internal validity in an experiment allow researchers to establish?

    <p>Causal relationships between variables (A)</p> Signup and view all the answers

    Which sampling technique guarantees that every member of a population has an equal chance of being included?

    <p>Random sampling (D)</p> Signup and view all the answers

    In psychological research, when is nonrandom sampling considered acceptable?

    <p>When the characteristics of the sample align closely with the general population (A)</p> Signup and view all the answers

    What is replication in the context of psychological experiments?

    <p>Using the same procedures with a new sample (C)</p> Signup and view all the answers

    What is a Type I error in psychological research?

    <p>Concluding that a relationship exists when it does not (A)</p> Signup and view all the answers

    What statement about the case method in research is true?

    <p>It focuses on understanding a single individual's behavior (C)</p> Signup and view all the answers

    Why might generalizing from a sample to a population sometimes be valid?

    <p>If the sample is statistically representative of the population (D)</p> Signup and view all the answers

    Which aspect of validity refers to how well a study's findings can be applied to other settings or populations?

    <p>External validity (B)</p> Signup and view all the answers

    What does a positive correlation indicate?

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

    What is the range of the correlation coefficient (r)?

    <p>-1.0 to +1.0 (D)</p> Signup and view all the answers

    Which of the following scenarios represents a case of the third-variable problem?

    <p>High exercise levels and low health issues may both be influenced by diet. (D)</p> Signup and view all the answers

    When correlation coefficients are close to 1 or -1, what can be inferred about the correlation?

    <p>The correlation is strong and fewer exceptions exist. (C)</p> Signup and view all the answers

    What does a correlation of 0 indicate?

    <p>There is no correlation between the variables. (D)</p> Signup and view all the answers

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

    <p>As exercise frequency increases, weight decreases. (A), As the number of hours worked increases, free time decreases. (C)</p> Signup and view all the answers

    Which of the following accurately describes natural correlations?

    <p>Correlations observed in the environment without manipulation. (D)</p> Signup and view all the answers

    Which of these explains the relationship between X and Y when X causes Y?

    <p>X → Y (B)</p> Signup and view all the answers

    Flashcards

    Variability

    The extent to which measurements differ; indicates spread.

    Range

    Difference between the largest and smallest values in a distribution.

    Standard Deviation

    Describes the average difference between measurements and the mean.

    Correlation

    A relationship where changes in one variable associate with changes in another.

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    Variable

    A property or characteristic that can take different values.

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    Methods of Observation

    Using the senses to learn about properties of events or objects.

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    Limitations of Everyday Observation

    Observations can be inconsistent and incomplete.

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    Measurement in Psychology

    The use of scientific techniques to quantify observations.

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    Operational Definition

    Describes a property in measurable terms, aiding clarity in research.

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    Construct Validity

    The extent to which a measure accurately reflects the property being assessed.

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    Reliability in Measurement

    The consistency of a measure producing the same result over time.

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    Power in Measurement

    The ability of a measure to detect specified conditions.

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    Example of Reliability

    Judges in ice dancing consistently rate performance qualities.

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    Population

    The complete collection of individuals from which a sample can be drawn.

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    Sample

    A partial collection of individuals selected from a population.

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    Descriptive Statistics

    Summarized statements that provide essential information from data collected.

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    Frequency Distribution

    A graphic representation that shows how often each value occurs.

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    Normal Distribution

    A frequency distribution where most measurements are around the middle.

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    Central Tendency

    Measures that describe the center of a data distribution, including mode, mean, and median.

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    Mode

    The most frequently occurring value in a data set.

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    Median

    The middle value of a sorted data set, dividing it into two halves.

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    Internal validity

    The ability of an experiment to establish causal relationships.

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    External validity

    The degree to which experimental findings can be generalized to settings outside the study.

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    Case method

    A research approach focusing on an in-depth study of a single individual.

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    Random sampling

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

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    Nonrandom sampling

    A technique where the sample may not represent the population due to specific conditions.

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    Replication

    Repeating an experiment with new samples to verify results.

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    Type I error

    A mistake made when concluding a causal relationship exists when it does not.

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    Generalization

    Inferring results from a sample to the broader population.

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    Tri-Council Policy Statement (TCPS)

    Guidelines ensuring ethical research with human participants based on respect for dignity.

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    Informed consent

    Participants must agree to research understanding risks and benefits.

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    Freedom from coercion

    Participants should decide voluntarily without pressure or threats.

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    Protection from harm

    Research must minimize risks and maximize benefits to participants.

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    Risk-benefit analysis

    Evaluating potential risks against potential benefits for participants.

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    Deception in research

    Misleading participants about certain aspects of the study, allowed under strict guidelines.

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    Canadian Council on Animal Care (CCAC)

    Sets standards for the ethical treatment of animals in research.

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    Replacement, Reduction, Refinement

    Three Rs guiding ethical animal research: replace with alternatives, reduce the number of animals, refine procedures to minimize suffering.

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    Positive Correlation

    A correlation where increasing one variable increases the other.

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    Negative Correlation

    A correlation where increasing one variable decreases the other.

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    Correlation Coefficient (r)

    A numerical value between -1 and +1 indicating correlation strength and direction.

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    Perfect Correlation

    A correlation where r equals +1 or -1, indicating a full relationship.

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    Third-variable Problem

    When a third variable influences the correlation between two other variables.

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    Natural Correlation

    A correlation observed in common variables without manipulation.

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    Causes of Correlation

    Reasons why two variables may be correlated: X causes Y, Y causes X, or Z causes both.

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    Study Notes

    Chapter 2: Methods in Psychology

    • This chapter outlines methods used in psychology, including empiricism, observation methods, explanation methods, critical thinking, and ethics.

    Empiricism

    • Scientific method: A set of principles guiding the appropriate relationship between ideas and empirical evidence.
    • Empiricism: The belief that accurate knowledge is gained through observation, a crucial component of the scientific method.
    • Dogmatism: The tendency to cling to one's beliefs. Euclid and Ptolemy's view on vision contrasted with al-Haytham's perspective.

    The Scientific Method

    • Procedure: Employing empirical evidence to establish facts.
    • Theory: An explanation of a natural phenomenon; it cannot be definitively proven correct.
    • Hypothesis: A testable prediction generated from a theory.

    The Art of Looking

    • Empirical method: Set of rules and techniques for observation.
    • Observation difficulties: People's complexity, variability, and reactivity make them challenging to study.
    • Kinds of methods: Methods for observation and explanation are categorized. The Muybridge photographs are an illustration. Examples include methods of observation and explanation.

    Methods of Observation

    • Observation: Using one's senses to learn about events and objects.
    • Everyday observation limitations: Inconsistent and incomplete observations.
    • Scientific techniques for accurate observation: Measurement and description are examples of methods for overcoming limitations of everyday observation.

    What to Measure and How

    • Operational definition: A description of a property in measurable terms.
    • Construct validity: A measure of how well a thing being measured represents the property being studied.
    • Reliability: A measure's consistency when measuring the same thing.
    • Power: A measure's ability to detect conditions specified in its operational definition; key features are reliability and power for good detectors and instruments in measurement.
    • Measurement Steps: Define the property, and then detect the property through the use of a reliable and powerful instrument for the property

    Power and Reliability at the Olympics

    • Reliability in judging performance: This is evident in sports like ice dancing, where judges consistently rate relevant qualities.
    • Example of power in measurement: Usain Bolt's speed records highlight the importance of precise measurement in sports, as inaccurate measurement can lead to misleading conclusions

    Demand Characteristics

    • Definition: Aspects of an observational setting inducing people to behave as they think others want or expect.
    • Impact on measurement: Demand characteristics make accurately measuring behavior difficult.

    Naturalistic Observation

    • Definition: Observing people unobtrusively in their natural environments.
    • Practical Limitations: Some events or behaviors do not occur naturally or can only be observed via direct interaction.
    • Potential for bias: Observer bias.

    How Do Researchers Measure "Pace of Life"?

    • Naturalistic observation method: Calculating average walking speeds in various cities.

    Techniques for Avoiding Demand Characteristics

    • Privacy: Conceal the observer's presence to avoid participants' altering their behavior.
    • Control: The ability to manage the environment in such a way that the outcome of an experience is unlikely to be affected by extraneous factors.
    • Unawareness: Design research so the participants are unaware of the true purpose of the study

    Observer Bias

    • Definition: Observers' expectations influencing their understanding and observations.
    • Causes: Expectations influencing observations and potentially, reality
    • Mitigation: Using double-blind studies

    An Example of Observer Bias

    • Illustration: Robert Parker's wine ratings and their potential impact on participants' evaluations.

    Description

    • Population: The complete set of people being studied (often immeasurable).
    • Sample: A subset of people drawn from a population.
    • Data analysis techniques: Psychologists use graphic representations and descriptive statistics to analyze data.

    Graphic Representations

    • Frequency distributions: Visual representations of how frequently measurements of a property occur.
    • Normal distribution: Frequently used representations in which measurements cluster around the middle.

    Frequency Distributions (Happiness)

    • Graphical representation: Illustrating happy levels revealed using a frequency distribution with data on reported level of happiness.

    Descriptive Statistics

    • Central tendency: Identifying the center or midpoint of a data set using measures like mode, mean, and median.
    • Skewed distribution: Data skewed away from the middle.

    Calculating Descriptive Statistics

    • Mode: Represents the most frequent value.
    • Mean: The average of values; calculating it involves summation of values and division by the number of values present.
    • Median: The middle value when values are arranged sequentially.
    • Example: calculations illustrating different descriptive statistics.

    Different Shaped Distributions

    • Examples of positively skewed, negatively skewed, and normal distributions.

    Variability

    • Variability: A measure of how widely dispersed measurements are from each other.
    • Range: Difference between the largest value and the smallest value in a data set.
    • Standard deviation: The average difference between each measurement in a distribution and the overall mean of that distribution.

    Distributions Can Differ in Variability or Central Tendency

    • Visualization illustrating differences in variability or central tendency.

    Methods of Explanation

    • Correlation: A relationship between variables, where changes in one variable reflect related changes in another variable.
    • Variable: A property that can have different values.

    Hypothetical Data Showing Relationship

    • Illustrative data showing a correlation between sleep hours and number of countries.

    Synchronized Patterns of Variation

    • Recognizing patterns: Identifying synchronized variations in variables.
    • Predictive value: Using the correlation between variables for predictions.

    Measuring Direction and Strength of a Correlation

    • Correlation direction: Positive or negative.
    • Correlation strength: Ranges from -1.0 (strong negative) to +1.0 (strong positive), with 0 indicative of no relationship (no correlation).
    • Correlation coefficient (r): A measure of the strength and direction of a correlation.

    Graphing Correlations

    • Visualizing correlations using graphs (illustrative of perfect positive, perfect negative, and no correlation). Correlations may be positive (high correlation), negative (low correlation), or nonexistent (no correlation), and this is illustrated using graphic plots.

    Positive Correlations of Different Strengths

    • Illustrative graphs showing varying strengths of positive correlations.

    Causation and Interpretation

    • Causality limitations: Correlations, while describing synchronization, do not imply causality.
    • Third-variable Problem (Z): A third variable (hidden) may cause both observed variables.

    Causes of Correlation

    • Potential reasons for correlation: Direct relationship between variables, inverse relationship between variables, or influence of a third variable.

    Experimentation

    • Technique: A method for establishing cause-and-effect relationships.
    • Elimination of differences: Comparing groups to pinpoint factors uniquely influencing the outcome.

    Three Steps of Experimentation

    • Manipulate: Changing an independent variable to create conditions (e.g., creating experimental and control groups).
    • Measure: Evaluating the effect of the changed independent variable on the dependent variable.
    • Compare: Analyzing differences in the outcome/dependent variable results across conditions/groups.

    Manipulation: Making Conditions Different

    • Actively changing a variable's value to establish its causal impact.

    Random Assignment

    • Randomly assigning participants to different groups in an experiment.
    • Avoiding self-selection bias, allowing comparison of only the manipulated variable across groups

    Statistical Testing

    • Evaluating random assignment results: Measuring the statistical significance (e.g., lower than a 5% likelihood of chance results).
    • Statistical significance: Results are statistically significant if the probability of obtaining similar results by chance is less than 5%..

    The Real World: Unlikely Coincidences

    • ESP beliefs: Survey results about the prevalence of belief in extrasensory perception (ESP).
    • Misinterpreting coincidences: People often underestimate the likelihood of coincidences.

    Drawing Conclusions

    • Internal validity: An experiment's ability to show causal connections.
    • External validity: An experiment's ability to generalize findings to other situations/populations.

    The Generalizability Restriction

    • Case method: A method of gathering scientific knowledge from a single individual.
    • Random sampling: Ensures every population member has an equal chance of selection.
    • Generalizing results: Drawing conclusions about a larger population from observations of a sample.
    • Nonrandom sampling: An acceptable method when sample similarity to the population doesn't matter or is a reasonable starting point.

    Is Nonrandom Sampling a Fatal Flaw?

    • Two reasons why nonrandom sampling isn't invalid: Sometimes sample representation doesn't matter or may be a reasonable starting point.

    The Reliability Restriction: Replication and Error Types

    • Replication: Conducting a similar experiment again to check for consistency.
    • Type I error: Concluding cause-and-effect relationships that do not exist.
    • Type II error: Concluding absence of cause-and-effect relationships when they do exist.

    Other Voices: Psychology Not in Crisis

    • Replication failures: Addressing whether failure to replicate experiments is a common issue in science.

    Thinking Critically About Evidence

    • Critical thinking: Asking questions to assess the evidence's validity and unbiased interpretation.
    • Evidence assessment: Evaluating evidence to understand the whole truth, not just the obvious.

    We See What We Expect and Want to See

    • Cognitive biases: Exploring how expectations can influence how evidence is interpreted.
    • Skeptical stance: Scientists' effort to increase observation accuracy and rigor.

    Hours Spent Partying or Studying

    • Analyzing presented bar graphs of student reported time spent partying/studying at Canadian universities.

    Ethics in Psychological Science

    • The Tri-Council Policy Statement (TCPS): A set of principles guiding ethical research involving human participants. Principles include respect for persons, concern for welfare, and justice.
    • Informed consent: Participants must freely agree to participate after understanding the research.
    • Freedom from coercion: Participants' agreement to participate should not be coerced.
    • Protection from harm: Research should maximize benefits and reduce risks to participants.
    • Risk-benefit analysis: Evaluating risks and potential benefits to participants.
    • Deception: In some cases, withholding information if absolutely essential to avoid influencing outcomes.
    • Debriefing: Providing information to participants after the research.
    • Confidentiality: Protecting participants' information.

    Respecting Animals

    • Canadian Council on Animal Care (CCAC): Guidelines for ethical use and care of animals. Standards of replacement, reduction, and refinement of animals in research are described.

    Respecting Truth

    • Honour System: Psychological research operates on a system of honesty.
    • Truthful reporting: Data and results should be accurately reported.
    • Ethical credit allocation: Participants' and researchers' contributions should be acknowledged accordingly.
    • Shared data: Data should be accessible to other researchers and the scientific community.

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    Description

    Test your knowledge on the core principles of research ethics involving human and animal participants. This quiz covers key concepts from ethical guidelines to statistical measures used in research. Challenge yourself and see how well you understand these crucial topics.

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