Validity and Reliability Methods
Student’s Name
Course Name, Course Code
University Name
Professor’s Name
September 1, 2020
Validity and Reliability Methods
My preferred validity and reliability methods for evaluating quantitative data are construct and test-retest, respectively. I have chosen the test-rest strategy since it enables me to measure consistency across time to determine whether I get similar outcomes when the procedure is repeated (Harshman & Yezierski, 2015). Thus, I can establish the correlation coefficient between two data sets to assess the two tests’ relationship. A high correlation, such as 90%, shows good reliability, while a low correlation, such as 10%, indicates poor reliability. The strategy is also effective since it reflects the level to which different items assigned to variables give the exact outcome of behavior or the phenomenon being measured. I also prefer the approach since it enables the utilization of Cronbach’s alpha, which is used to split the items for one test by measuring their associated statistics.
On the other hand, I prefer to construct validity method since it helps me determine inference levels, which can be made legitimately from research operationalization. Thus, I can assess theoretical constructs to determine foundational constructs. In this regard, it can be used to measure correlating items and argue from the correlations’ trends. The method is effective since it promotes the generalization of items or measures to conceptualize the patterns (Strauss & Smith, 2009). The inferences made through observations of typical test scores are used to determine the test outcomes’ appropriateness. The method comes in handy when I am researching so that I can conceptualize my latent variables. In doing, I can find the relationship between the constructs and test scores.
References
Harshman, J., & Yezierski, E. (2015). Test-Retest Reliability of the Adaptive Chemistry Assessment Survey for Teachers: Measurement Error and Alternatives to Correlation. Journal of Chemical Education, 93(2), 239–247. https://doi.org/10.1021/acs.jchemed.5b00620
Strauss, M. E., & Smith, G. T. (2009). Construct Validity: Advances in Theory and Methodology. Annual Review of Clinical Psychology, 5(1), 1–25. https://doi.org/10.1146/annurev.clinpsy.032408.153639