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Research Methods: Variables and Measurement (Topic 2)
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Research Methods: Variables and Measurement (Topic 2)

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Questions and Answers

What does the Phi coefficient measure?

  • The relationship between two dichotomous variables (correct)
  • The relationship between nominal and ordinal variables
  • The categorization of qualitative variables
  • The strength of a continuous variable's distribution
  • Which option correctly describes a quantitative variable?

  • It is always discrete
  • It varies in kind
  • It varies in amount (correct)
  • It is lexically distinct
  • What is essential for scientifically studying a construct?

  • Employing qualitative analysis techniques
  • Operationally defining the construct (correct)
  • Using both quantitative and qualitative variables
  • Measuring without any definitions
  • What is an example of a nominal scale?

    <p>Assigning males as 1 and females as 2</p> Signup and view all the answers

    Which of the following describes a scale in measurement?

    <p>A device for tracking variables through scores or status</p> Signup and view all the answers

    What does an ordinal scale primarily provide?

    <p>Rank order of objects or persons</p> Signup and view all the answers

    Which of the following scales includes a true zero point?

    <p>Ratio scale</p> Signup and view all the answers

    Which measurement scale indicates how far apart objects are with respect to an attribute?

    <p>Interval scale</p> Signup and view all the answers

    Reliability in measurement refers to what aspect?

    <p>Consistency of scores over time</p> Signup and view all the answers

    Which of the following is NOT a characteristic of an interval scale?

    <p>True zero point exists</p> Signup and view all the answers

    What is a common example of an ordinal scale?

    <p>College football polls</p> Signup and view all the answers

    Which scale provides the least amount of information?

    <p>Ordinal scale</p> Signup and view all the answers

    For a measurement to be useful in science, it must have both:

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

    What defines an independent variable?

    <p>It is the condition manipulated by the researcher.</p> Signup and view all the answers

    Which of the following is an example of a discrete variable?

    <p>Number of students in a class</p> Signup and view all the answers

    Which statistical procedure is most appropriate for two continuous variables?

    <p>Pearson's correlation</p> Signup and view all the answers

    What is a key characteristic of a dependent variable?

    <p>It reflects the effects of the independent variable.</p> Signup and view all the answers

    Which of these describes a continuous variable?

    <p>It falls along a continuum with no limitations on values.</p> Signup and view all the answers

    What is indicated by a naturally discrete variable?

    <p>It represents a natural category without options in between.</p> Signup and view all the answers

    Which of the following methods is used to generate artificially discrete variables?

    <p>Mean split</p> Signup and view all the answers

    Which of the following statements about variables is true?

    <p>The classification of a variable can change based on the context of the study.</p> Signup and view all the answers

    What does convergent validity indicate?

    <p>Different measures of the same construct should be correlated.</p> Signup and view all the answers

    What is the main purpose of the multi-trait/multi-method matrix?

    <p>To assess construct-related validity of a test or measure.</p> Signup and view all the answers

    Which type of validity assesses if different measures of different constructs are unrelated?

    <p>Discriminant validity</p> Signup and view all the answers

    What does face validity relate to?

    <p>How well a measure appears to assess the intended construct.</p> Signup and view all the answers

    In the multi-trait/multi-method matrix, A and B represent which type of validity?

    <p>Convergent validity</p> Signup and view all the answers

    Which physiological indicators might be used to measure workplace stress as stated in the content?

    <p>Cortisol levels, heart rate, and blood pressure.</p> Signup and view all the answers

    If the measures A and D diverge, what type of validity does this represent?

    <p>Discriminant validity</p> Signup and view all the answers

    What does the presence of convergent validity tell us about two related tests?

    <p>They should correlate positively.</p> Signup and view all the answers

    What is criterion-related validity primarily concerned with?

    <p>The correlation of test scores with an independent measure of behavior</p> Signup and view all the answers

    Which type of criterion-related validity assesses performance when both predictor and criterion data are collected at the same time?

    <p>Concurrent validity</p> Signup and view all the answers

    Content-related validity involves which of the following?

    <p>Judgment about how adequately a test samples a specific content domain</p> Signup and view all the answers

    What distinguishes content-related validity from criterion-related validity?

    <p>Content-related validity is typically nonempirical and based on expert judgment</p> Signup and view all the answers

    Construct-related validity refers to what aspect of a test?

    <p>The ability of the test to measure a theoretical construct or trait</p> Signup and view all the answers

    Which of the following is NOT a type of criterion-related validity?

    <p>Construct validity</p> Signup and view all the answers

    When discussing validity coefficients, what range can they take?

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

    Who typically evaluates content-related validity?

    <p>Subject matter experts</p> Signup and view all the answers

    Study Notes

    Variables and Measurement

    • Definition of Variables:
      • Symbol able to assume various numerical values.
      • Property of an organism/event that can be measured.
      • Changeable aspect in different testing conditions.
      • Attribute of a phenomenon.

    Types of Variables

    • Independent and Dependent Variables:

      • Independent variable: Condition manipulated by the researcher with at least two levels. It's the antecedent variable.
      • Dependent variable: Behavior measurement reflecting effects of the independent variable.
      • Variable classification may change depending on the study context.
    • Continuous and Discrete Variables:

      • Continuous variable: Falls along a continuum (e.g., distance, time).
      • Discrete variable: Falls into categories with no intermediate values (e.g., male/female).
      • Naturally discrete variables are inherent (e.g., biological sex), while artificially discrete variables are created (e.g., age categories).
      • Statistical procedures differ based on variable types (e.g., Pearson's correlation for continuous variables).
    • Quantitative and Qualitative Variables:

      • Quantitative variable: Varies in amount (e.g., reaction time).
      • Qualitative variable: Varies in kind (e.g., college major).
      • Quantitative variables are generally continuous while qualitative are discrete.

    Measurement

    • Definition of Measurement:

      • Assignment of numerical values to objects/events based on rules.
      • Involves operational definitions to quantify constructs for study.
    • Levels of Measurement:

      • Labels: Numbers used for tracking, not for analysis (e.g., participant IDs).
      • Nominal Scale: Grouping without quantitative relationships (e.g., coding genders).
      • Ordinal Scale: Rank ordering without absolute measures (e.g., rankings in polls).
      • Interval Scale: Measures the extent of an attribute without true zero (e.g., satisfaction ratings).
      • Ratio Scale: Includes true zero and properties of previous scales; rare in behavioral sciences (e.g., temperature in Kelvin).

    Evaluation of Measurement Methods

    • Reliability: Consistency of scores over time and conditions.
    • Validity: Extent to which a method accurately measures what it intends to measure.

    Types of Test Validity

    • Criterion-related Validity: Predictive effectiveness of a test in forecasting future behavior; includes:

      • Concurrent validity.
      • Predictive validity.
      • Postdictive validity (based on timing of data collection).
    • Content-related Validity: Assesses adequacy of content sampled by the test (e.g., classroom tests) based on expert judgment.

    • Construct-related Validity: Measures alignment with theoretical constructs; includes:

      • Convergent validity: Measures of the same construct are correlated.
      • Divergent validity: Measures of different constructs are not correlated.
    • Face Validity: Subjective assessment of whether a test appears to measure its intended variable.

    Multi-Trait/Multi-Method Matrix

    • A framework for assessing construct-related validity, ensuring measures of the same constructs converge while measures of different constructs diverge.

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    Description

    This quiz covers the definitions and concepts related to variables and measurement in research methods. You will explore the different types of variables and their significance in the context of research. Test your understanding of how variables can change under different conditions.

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