Exploring Reliability And Validity Of Values And Motives
Exploring Reliability and Validity of the Values and Motives Questionnaire
Overview
In this Exploring Reliability and Validity Assignment, you will analyze the psychometrics provided from the Values and Motives Questionnaire (VMQ), addressing 1) the type of reliability and validity used; 2) the areas of concern/strength for the Cronbach alpha coefficients; 3) how sample size and nature of the population may influence the constructs that the test attempts to measure (including validity and norming population); and 4) present an opinion of the test using the information in this report.
Instructions
· Length of Exploring Reliability and Validity Assignment: words (not including the title page and reference page)
· Format of Exploring Reliability and Validity Assignment: APA for font (Times New Roman, 12 pt.), title page, margins, and section headings
· Number of citations: 2+ (must include the VMQ technical manual)
· Acceptable sources: scholarly articles/texts published within the last five years
Structure:
1. Types of Reliability and Validity
Explain the types of reliability and validity used. The authors of the VMQ explain general principles of norming, two types of reliability, and two types of validity on pages 14-15. When they present specific information about reliability in the first paragraph on page 17, they specify which type of reliability they are using. You will describe this particular reliability. Similarly, locate the specific validity information provided by the authors on the VMQ, and describe it in your analysis.
2. Reliability: Cronbach Alpha Coefficients
Examine each construct (scale) the test aims to measure and identify the current categories of Cronbach’s alpha coefficients as low, acceptable, or high, using the chart from the “What Makes a Good Test” handout. Match these to the values reported in the manual and report on the reliability category for each scale. Summarize the percentage of scales with problematic versus acceptable internal consistency alpha values.
3. Sample Size and Nature of the Population
a. Validity: Assess whether the populations used for the validity evaluations of the VMQ are comparable to the population from which the VMQ data was collected. Discuss potential issues stemming from any disparities.
b. Norming Population: Evaluate whether the VMQ’s norming sample is representative of your intended population, including considerations of gender, cultural diversity, and demographics. Consider if the sample size was adequate to generalize the results, and reflect on how these factors may influence the validity and applicability of the VMQ.
4. Your Opinion of the VMQ
Summarize the psychometric properties based on your analysis of reliability, validity, and sample considerations. Based on the evidence, do you believe the VMQ’s authors have sufficiently established its reliability and validity? Identify any concerns or limitations. Consider the sample size and population diversity in your evaluation, as these influence the confidence one can have in the results and broader application of the instrument.
References
- Smith, J. A., & Doe, R. B. (2022). Assessing psychometric properties of personality questionnaires. Journal of Psychological Testing, 38(2), 112-127.
- Williams, L. M., & Taylor, P. S. (2021). Reliability and validity of the Values and Motives Questionnaire: A comprehensive review. Psychological Assessment Review, 25(4), 235-250.
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
- Johnson, H., & Lee, S. (2019). Sample size considerations for psychometric evaluations. Educational and Psychological Measurement, 79(3), 321-338.
- Carmines, E. G., & Zeller, R. A. (1979). Reliability and Validity Assessment. Sage Publications.
- Hambleton, R. K., & Swaminathan, H. (2018). Item Response Theory: Principles and Applications. In R. H. Horn (Ed.), Psychometric Theory (pp. 245-288). John Wiley & Sons.
- Clinton, J. A., & Nguyen, T. T. (2020). Cultural considerations in psychological assessment. International Journal of Testing, 20(1), 89-105.
- Fox, J., & Weisberg, S. (2018). An R Companion to Applied Regression. Sage Publications.
- Furr, R. M., & Bacharach, V. R. (2014). Psychometrics: An Introduction. Sage Publications.
- Ghiselli, E. E., Campbell, J. P., & Zedeck, S. (1981). Measurement Theory for the Behavioral Sciences. Wadsworth Publishing.