Evaluating Evidence for Conceptually Related Constructs Using Bivariate Correlations

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 im...

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Published inMeasurement and evaluation in counseling and development Vol. 50; no. 4; pp. 270 - 274
Main Authors Swank, Jacqueline M., Mullen, Patrick R.
Format Journal Article
LanguageEnglish
Published Alexandria Routledge 01.01.2017
Taylor & Francis Ltd
Subjects
Bivariate correlations
Computation
Construct Validity
Correlation
Counseling Services
Data Interpretation
Evaluation Methods
Evaluation Problems
Guidelines
scale development
Statistical Analysis
validity
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Abstract 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.
AbstractList 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.
Author Swank, Jacqueline M.
Mullen, Patrick R.
Author_xml – sequence: 1
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  organization: University of Florida
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  givenname: Patrick R.
  surname: Mullen
  fullname: Mullen, Patrick R.
  organization: College of William and Mary
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Watson J. C. (cit0013)
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SubjectTerms Bivariate correlations
Computation
Construct Validity
Correlation
Counseling Services
Data Interpretation
Evaluation Methods
Evaluation Problems
Guidelines
scale development
Statistical Analysis
validity
Title Evaluating Evidence for Conceptually Related Constructs Using Bivariate Correlations
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