I’m stuck on a Psychology question and need an explanation.

Validity measures the usefulness of a test for specific purposes. For instance, tests of depression, such as the Beck Depression Inventory (BDI), correlate well with clinician assessments of depression, so they can be considered valid measures of depression. On the other hand, the BDI does not predict job performance well, so it would be invalid for that purpose. Types of validity include criterion-related, content, face, and construct validity. Criterion-related validity looks at the correlation between tests scores and a criterion that the test scores could be expected to predict. For instance, SAT scores for high school seniors could be expected to correlate with their first-year college GPA. Content validity generally depends on expert opinion and looks at whether the test adequately samples the content of interest. A math test for high school students should sample the types of math problems that are found in high school math textbooks and should cover the domains that high school math teachers say are important. Face validity is important but is not validity in the technical sense. A test has face validity if it appears to measure what it purportedly measures. For instance, a math test for truck drivers should ask questions about gas mileage and load weight. If it contained questions about cake recipe proportions, it would lack face validity. Construct validity is usually accumulated over time and represents the accumulation of many validity studies. It indicates whether the test appropriately measures a theoretical construct.

For this Assignment, you will examine different validity concepts and approaches. You also will consider which validity approaches you would use for your psychological measure and why.

To prepare for this Discussion:

• Review the Learning Resources about the various approaches that can be used to demonstrate the validity of a psychological measure.
• Pay particular attention to the concept of construct validity and the various ways the Learning Resources address this idea.
• Consider the construct you are going to measure and whether you would focus on face validity. Also, think of a couple of ways you can demonstrate construct validity for your measure. Identify any additional validity approaches you would use for your measure.

By Day 7

Submit a 2- to 3-page paper that addresses the following:

• Summarize the different approaches for evaluating the validity of an assessment or measure. In your summary, include a definition and explanation of the following validity concepts: face validity, construct validity and the various ways to demonstrate construct validity (e.g., correlations with criterion measures, confirmatory factor analysis, etc.), and criterion-related or predictive validity.
• Describe which validity approaches you would use for your measure and explain why. Be specific.

Note: Support your Assignment with specific references to all resources used in its preparation. You are to provide a reference list for all resources, including those in the Learning Resources for this course.

Resources

Carmines, E. G., & Zeller, R. A. (1979).Quantitative Applications in the Social Sciences: Reliability and validity assessment. Thousand Oaks, CA: SAGE Publications, Inc. doi: 10.4135/9781412985642

Furr, R. (2011). Evaluating psychometric properties: validity. In Furr, R. The Sage Library of Methods in Social and Personality Psychology: Scale construction and psychometrics for social and personality psychology (pp. 52-66). London: SAGE Publications Ltd doi: 10.4135/9781446287866

Grimm, K. J., & Widaman, K. F. (2012). Construct validity. In APA handbook of research methods in psychology, Vol 1: Foundations, planning, measures, and psychometrics. (pp. 621–642). American Psychological Association. https://doi-org.ezp.waldenulibrary.org/10.1037/136…

Samuel, M. (1995). Validity of Psychological Assessment: Validation of Inferences From Personsʼ Responses and Performances as Scientific Inquiry Into Score Meaning. American Psychologist, 50(9), 741–749.

Spector, P. E. (1992). Quantitative Applications in the Social Sciences:Summated rating scale construction. Newbury Park, CA: SAGE Publications, Inc. doi: 10.4135/9781412986038