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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
Hays, Danica G.; Wood, Chris – Measurement and Evaluation in Counseling and Development, 2017
We present considerations for validity when a population outside of a normed sample is assessed and those data are interpreted. Using a career group counseling example exploring life satisfaction changes as evidenced by the Quality of Life Inventory (Frisch, 1994), we showcase qualitative and quantitative approaches to explore how normative data…
Descriptors: Data Interpretation, Scores, Quality of Life, Life Satisfaction

Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1992
Notes that presence of heterogeneous regression slopes in an analysis of covariance design is equivalent to presence of interaction in randomized-blocks design. Describes modification of the usual graphical representation of heterogeneous regressions that can aid in interpreting significant regions for regression surfaces. (NB)
Descriptors: Analysis of Covariance, Data Interpretation, Graphs, Regression (Statistics)

Merenda, Peter F. – Measurement and Evaluation in Counseling and Development, 1997
Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)
Descriptors: Data Interpretation, Factor Analysis, Factor Structure, Reliability