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Lewis, Todd F. – Measurement and Evaluation in Counseling and Development, 2017
American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…
Descriptors: Educational Research, Factor Analysis, Structural Equation Models, Construct Validity
Young, Anita A.; Bryan, Julia A. – Measurement and Evaluation in Counseling and Development, 2018
Researchers examined data from a national sample of 776 school counselors to further determine the factor structure of the School Counselor Leadership Survey. Confirmatory factor analyses supported use of a modified 5-factor model. Survey scores demonstrated good internal consistency and convergent validity. Differences between supervisors and…
Descriptors: School Counselors, Leadership, Factor Analysis, School Counseling
Koran, Jennifer – Measurement and Evaluation in Counseling and Development, 2016
Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.
Descriptors: Factor Analysis, Sample Size, Models, Sampling
Derby, Dustin C.; Smith, Thomas J. – Measurement and Evaluation in Counseling and Development, 2014
The purpose of the current study was to assess the gender invariance of an a priori four-factor solution of behavioral consequences of drinking. Results evidenced strong partial measurement invariance, with marginal structural invariance, which signals that the underlying constructs possessed the same theoretical structure for both men and women.
Descriptors: Drinking, Gender Differences, Measurement, Factor Structure
Liang, Belle; Tracy, Allison J.; Kenny, Maureen E.; Brogan, Deirdre; Gatha, Ravi – Measurement and Evaluation in Counseling and Development, 2010
Relational health, a termed coined by Liang et al. (2001) to reflect Relational-Cultural Theory concepts, is the presence of growth-fostering characteristics in significant relationships. Although growth-fostering relationships have been conceptualized as relevant across the lifespan, existing research has mainly explored the experiences of…
Descriptors: Validity, Reliability, Measures (Individuals), Adolescents
Kim, Seong-Hyeon; Beretvas, S. Natasha; Sherry, Alissa R. – Measurement and Evaluation in Counseling and Development, 2010
This study investigated the Outcome Questionnaire's (OQ-45) factor structure and demonstrated the use of factor mixture modeling (FMM) for the purpose of score validation. OQ-45 scores did not fit the one-class, one- and three-factor models. Use of FMM to identify a two-class model is detailed. Implications for OQ-45 users are provided. (Contains…
Descriptors: Validity, Factor Structure, Factor Analysis, Scores
Erford, Bradley T.; Lowe, Samantha; Chang, Catherine Y. – Measurement and Evaluation in Counseling and Development, 2011
The Self-Evaluation Scale--Teacher version, used to assess teacher perceived self-esteem of students, was analyzed. A unidimensional model emerged from exploratory factor analysis, with cautious acceptance of data fit. Reliability and external aspects of validity were supported by the Self-Evaluation Scale--Teacher data.
Descriptors: Factor Structure, Measures (Individuals), Factor Analysis, Self Evaluation (Individuals)
Martin, Andrew J. – Measurement and Evaluation in Counseling and Development, 2009
This investigation conducts measurement and evaluation of a multidimensional model of workplace motivation and engagement from a construct validation perspective. Two studies were conducted, one using the multi-item multidimensional Motivation and Engagement Scale-Work (N = 637 school personnel) and one using a parallel short form (N = 574 school…
Descriptors: Construct Validity, Motivation, School Personnel, Models
Barry, Carol L.; Finney, Sara J. – Measurement and Evaluation in Counseling and Development, 2009
Two studies were conducted to examine validity evidence for the College Self-Efficacy Inventory, by investigating dimensionality and theoretically based relationships with external criteria. Modifications to the scale yielded an adequately fitting three-factor model, and most hypothesized relationships were empirically supported. However,…
Descriptors: Self Efficacy, Disproportionate Representation, Construct Validity, Psychometrics
Greer, Tawanda M. – Measurement and Evaluation in Counseling and Development, 2010
This study examined the structural validity of the Schedule of Racist Events (SRE), a brief inventory that assesses the frequency and stressfulness of racism in the lives of African Americans. The original three-factor structure of the SRE was examined, along with an alternative structure that was designed to test whether the SRE captured types of…
Descriptors: Racial Bias, Factor Structure, Test Validity, African Americans

Tokar, David M.; Fischer, Ann R.; Snell, Andrea F.; Harik-Williams, Nahla – Measurement and Evaluation in Counseling and Development, 1999
Results of confirmatory and exploratory analyses of 485 nonstudent adults' (N=485) responses to the NEO Five-Factor Inventory indicate that a six-factor model best fit the data. Results show some empirical justification for using the NEO Five-Factor Inventory to assess clients' and research participants' core personality traits. (Author/MKA)
Descriptors: Adults, Data Analysis, Factor Analysis, Models

O'Connell, Ann Aileen – Measurement and Evaluation in Counseling and Development, 2000
Compares approaches to modeling ordinal outcome variables, including assumptions, interpretations, and limitations. Explores how the multiple regression approach with ordinal level data can compromise the understanding of the effects of the independent variables and of the ordinal level response. Provides applications with data from a multisite…
Descriptors: Models, Multiple Regression Analysis, Predictor Variables, Research Methodology