Validity & Reliability
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Questions and Answers

What does Internal Consistency assess in a measure?

  • The ability of the measure to predict long-term outcomes
  • The overall satisfaction of participants with the measure
  • The correlation between the measure and an unrelated concept
  • The correlation among items intended to measure the same construct (correct)

What is Parallel Forms Reliability primarily concerned with?

  • The degree of agreement among experts on the measure’s validity
  • The measure’s ability to accurately translate across different languages
  • The statistical relationships between the test and other unrelated measures
  • The consistency of results across different versions of the same test (correct)

Which type of validity ensures that a measure taps into all relevant dimensions of a construct?

  • Convergent Validity
  • Criterion Validity
  • Divergent Validity
  • Content Validity (correct)

What does Criterion Validity involve when assessing a new measure?

<p>Comparing the results with established measures (B)</p> Signup and view all the answers

Convergent Validity is concerned with which aspect of a measuring tool?

<p>The relationships with other relevant concepts as expected (C)</p> Signup and view all the answers

What primarily causes lack of reliability in measurement instruments?

<p>Imprecise measurement instruments or poor rater training (C)</p> Signup and view all the answers

Which method can enhance internal validity in a research study?

<p>Controlling extraneous variables (B)</p> Signup and view all the answers

What is an example of criterion validity?

<p>The agreement of a measure with a previously validated measure (A)</p> Signup and view all the answers

Construct validity includes which of the following aspects?

<p>Alignment of the measure with theoretical constructs (A)</p> Signup and view all the answers

Which statement best defines content validity?

<p>The degree to which a measure covers all aspects of the content area (C)</p> Signup and view all the answers

Face validity is primarily determined by:

<p>Participant perceptions of the measure's relevance (B)</p> Signup and view all the answers

What does concurrent validity assess?

<p>The relationship with a 'gold-standard' measure (D)</p> Signup and view all the answers

Which strategy can improve construct validity?

<p>Establishing strong theoretical frameworks (C)</p> Signup and view all the answers

What does Cronbach's Alpha measure in the context of internal consistency?

<p>The extent to which items are inter-related within a scale (B)</p> Signup and view all the answers

Which of the following best describes parallel forms reliability?

<p>Creating two different versions of a questionnaire to compare results (B)</p> Signup and view all the answers

Which statement accurately describes internal consistency?

<p>It indicates how consistently individuals respond across similar items. (D)</p> Signup and view all the answers

What is the ideal minimum value for the correlation coefficient to consider test-retest reliability stable?

<p>0.70 (D)</p> Signup and view all the answers

When considering test-retest reliability, what should be taken into account regarding the timing of the repeat measure?

<p>The potential change in the construct measured and risks of memory bias. (D)</p> Signup and view all the answers

Which type of validity ensures the test measures what it is intended to measure?

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

Which measure is commonly used to assess inter-rater reliability?

<p>Kappa coefficient (C)</p> Signup and view all the answers

Which of the following methods is generally considered better for measuring internal consistency?

<p>Using Cronbach's Alpha (D)</p> Signup and view all the answers

Flashcards

Predictive Validity

How well a measure predicts future outcomes.

Construct Validity

How meaningful and useful a measure is in practice.

Convergent Validity

Measures correlate with other related concepts as expected.

Divergent Validity

Measures don't correlate with unrelated concepts.

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Content Validity

Measure covers all important aspects of a concept.

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Split-half Reliability

A measure of the internal consistency of a test, determined by dividing the test into two halves and correlating the scores.

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Internal Validity

The degree to which a study's results can be attributed to the manipulation of the independent variable rather than confounding factors.

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Face Validity

A subjective assessment of how well a test appears to measure the intended concept.

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Criterion Validity

The extent to which a measure correlates with an external criterion or standard.

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Inter-rater reliability

The agreement between two or more raters/observers when evaluating something.

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Test-retest reliability

The consistency of a measure over time. It shows how stable a test or measure is.

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Internal consistency

A measure of how well the items within a test measure the same underlying concept or construct.

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Cronbach's Alpha

A statistical measure of internal consistency, used to assess the reliability of a scale by examining the correlation between its items.

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Cohen's Kappa

A statistic that measures inter-rater reliability, considering how much agreement is expected by chance.

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Appropriate Scaling

A test should avoid excessive high or low scores as an outcome.

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Relevance (in testing)

The test must measure something that is important to the topic or construct being studied.

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Parallel forms reliability

Ensuring the test's different versions measure the same thing. Two nearly-identical tests are administered to a subject. If the correlations between the two tests are high, then reliability is high.

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Study Notes

Core Principles in Mental Health Research

  • Measuring accurately is crucial in mental health research
  • Questionnaires and rating scales are common measurement tools
  • Reliability and validity are key properties for assessing these tools
  • Important to ensure the measures consistently capture the same thing
  • Understand how to accurately measure symptoms and functioning

Psychometric Properties of Measures

  • Reliability: Measurements are consistent and replicable
  • Validity: Measures what it's intended to measure
  • Feasibility and Acceptability: Is the measure practical and not burdensome?
  • Sensitivity to Change/Responsiveness: Does the measure detect important changes adequately?
  • Appropriate Scaling: Avoids floor or ceiling effects (extreme low/high scores)

Reliability

  • Inter-rater reliability: Agreement between multiple raters/observers
  • Test-retest reliability: Consistency of results over time
  • Internal consistency: Items on a scale measure the same underlying construct. Cronbach's alpha is a common measure of internal consistency.
  • Parallel forms reliability: Agreement between results using different versions of a measure.

Validity

  • Internal Validity: Ensuring observed effects are due to the manipulated variable, not confounding factors. Techniques for improvement include controlling extraneous variables, using standardized instructions, and counterbalancing.
  • Face Validity: The measure appears to measure what it intends to.
  • Content Validity: The measure represents all aspects of the relevant domain.
  • Criterion Validity: Accuracy based on correlation with a known standard (concurrent and predictive).
  • Construct Validity: Examining the meaning and significance of results. (convergent and divergent).

Additional Considerations

  • Cultural Considerations: Instruments need validation in diverse cultures
  • Measurement Issues: Poor rater training or fluctuating conditions might affect instrument's reliability.
  • Clinical Significance: Measures should be able to detect and capture clinically-important changes.

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Description

This quiz explores the essential principles of mental health research, focusing on the significance of accurate measurement. It covers concepts such as reliability, validity, and the psychometric properties of various measurement tools. Understand the appropriate use of questionnaires and rating scales to capture mental health symptoms effectively.

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