Psychology Chapter 5: Good Measurement
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Questions and Answers

Which of the following are ways to measure variables? (Select all that apply)

  • Statistical
  • Self-Report (correct)
  • Observational (correct)
  • Physiological (correct)
  • What is a self-report measure?

    Operationalizes a variable by recording people's answers to questions about themselves in a questionnaire or interview.

    What does an observational measure do?

    Operationalizes a variable by recording observable behaviors or physical traces of behaviors.

    What is a physiological measure?

    <p>Operationalizes a variable by recording biological data such as brain activity, hormone levels, or heart rate.</p> Signup and view all the answers

    What are the scales of measurement? (Select all that apply)

    <p>Quantitative Variables</p> Signup and view all the answers

    What defines categorical variables?

    <p>Levels are categories and coded arbitrarily.</p> Signup and view all the answers

    Describe quantitative variables.

    <p>Levels are meaningful numbers.</p> Signup and view all the answers

    What are the three types of quantitative variables?

    <p>Ordinal scale, interval scale, ratio scale.</p> Signup and view all the answers

    What is an ordinal scale?

    <p>Numbers represent ranked order but do not indicate the degree of difference.</p> Signup and view all the answers

    What does the interval scale indicate?

    <p>Numbers represent equal intervals between levels.</p> Signup and view all the answers

    What is a ratio scale?

    <p>Has equal intervals and a true '0', indicating none of that variable.</p> Signup and view all the answers

    What does reliability refer to in the context of measurement?

    <p>How consistent the results of a measure are.</p> Signup and view all the answers

    What is validity concerned with?

    <p>Whether the operationalization is measuring what it is supposed to measure.</p> Signup and view all the answers

    Which of the following are types of reliability? (Select all that apply)

    <p>Interrater Reliability</p> Signup and view all the answers

    What does test-retest reliability measure?

    <p>Consistency of scores every time the measure is used.</p> Signup and view all the answers

    What is interrater reliability?

    <p>Consistent scores obtained no matter who measures or observes.</p> Signup and view all the answers

    What does internal reliability (or internal consistency) ensure?

    <p>A study participant gives a consistent pattern of answers.</p> Signup and view all the answers

    What is Cronbach's alpha used for?

    <p>To assess internal reliability through correlation-based statistics.</p> Signup and view all the answers

    Define construct validity.

    <p>Measurement reliability plus measurement validity.</p> Signup and view all the answers

    What does measurement validity reflect?

    <p>How well a measure reflects the construct.</p> Signup and view all the answers

    What is the difference between reliability and validity?

    <p>Reliability is consistency and validity is accuracy.</p> Signup and view all the answers

    What is face validity?

    <p>Appears to be a plausible measure of the variable in question; subjective judgment.</p> Signup and view all the answers

    What is criterion validity based on?

    <p>Objective, empirical evidence.</p> Signup and view all the answers

    What is the known groups paradigm?

    <p>Researchers determine if scores can discriminate among groups with well-understood behaviors.</p> Signup and view all the answers

    Define convergent validity.

    <p>A measure should correlate more strongly with other measures of the same construct.</p> Signup and view all the answers

    Define discriminant validity.

    <p>The measure should correlate less strongly with measures of different but related constructs.</p> Signup and view all the answers

    Can a measure be reliable but not valid?

    <p>Yes.</p> Signup and view all the answers

    Study Notes

    Ways to Measure Variables

    • Three primary measurement methods: self-report, observational, and physiological.

    Self-Report Measure

    • Gathers data by having individuals answer questions in surveys or interviews.
    • Commonly measures personal attributes like gender, stress, religiosity, motivation, and personality.

    Observational Measure (Behavioral Measure)

    • Captures data by noting observable actions or traces from behaviors.
    • Examples include assessing intelligence through puzzle-solving or measuring happiness by counting smiles.

    Physiological Measure

    • Involves recording biological indicators such as brain activity, hormone levels, or heart rate.
    • Techniques include fMRI for brain scanning and facial EMG to detect muscle movements indicating emotions.

    Scales of Measurement

    • Two main categories: categorical and quantitative variables.

    Categorical Variables

    • Comprise discrete categories with no numerical meaning, such as gender or species.
    • Coded arbitrarily, e.g., 1 for Male and 2 for Female.

    Quantitative Variables

    • Represent measurable quantities with meaningful numerical values, such as height or test scores.

    Types of Quantitative Variables

    • Ordinal scale: ranks order without indicating difference degree.
    • Interval scale: equal intervals with no true zero, e.g., IQ scores or temperature.
    • Ratio scale: possesses equal intervals and a true zero, e.g., height or time measurements.

    Reliability

    • Indicates the consistency of measurement results.

    Validity

    • Evaluates whether the measurement accurately reflects the intended variable.

    Types of Reliability

    • Test-retest reliability: Consistency across multiple uses of the same measure.
    • Interrater reliability: Consistency regardless of who conducts the measurement.
    • Internal reliability: Consistency of responses among related items within a measure.

    Evaluating Reliability with R

    • Positive correlation (r > 0.5) indicates strong test-retest reliability.
    • Interrater reliability evaluated with an ideal positive correlation (r > 0.7).

    Measuring Internal Reliability

    • Assessed by the association among items meant to evaluate the same construct, using Cronbach's alpha.

    Cronbach's Alpha

    • A correlation metric used to examine the internal reliability of measures.

    Construct Validity

    • Integrates both measurement reliability and validity.

    Measurement Validity

    • Reflects how effectively a measure represents the intended construct, e.g., assessing self-reported religiosity accuracy.

    Reliability vs. Validity

    • Reliability focuses on consistency, while validity emphasizes accuracy; a measure can be reliable yet not valid.

    Valid Measures of Abstract Constructs

    • Psychologists may operationalize concepts like happiness through varied methods: questionnaires, observation, or biological indicators.

    Face Validity

    • Subjective assessment indicating whether a measure seems plausible; e.g., head circumference as an indicator of hat size appears valid but not for IQ.

    Content Validity

    • Ensures that the measure encompasses all facets of the construct being evaluated.

    Criterion Validity

    • Validity assessed through empirical evidence showing correlation with key outcomes, exemplified by the relationship between SAT scores and college GPA.

    Known Groups Paradigm

    • Evaluates if a measure differentiates between groups with already understood behavior.

    Convergent Validity

    • Measures of the same construct should correlate strongly with each other.

    Discriminant Validity

    • A measure should exhibit weaker correlations with different but related constructs.

    Reliability and Validity Relationship

    • A precise measure can be reliable without being valid; however, validity cannot exceed reliability levels.

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    Description

    Explore the key concepts of measurement in psychology through flashcards. This quiz covers self-report, observational, and physiological measures, essential for understanding how to quantify and analyze variables effectively.

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