Assessing the Psychometric Qualities of the Data-Informed School Leadership Survey

Author:

Sun Jingping1ORCID,Xia Jiangang2ORCID,Hua Cheng3,Man Kaiwen4,Johnson Bob L.5

Affiliation:

1. Educational Leadership, Policy and Technology Studies, The College of Education, University of Alabama, Box 870302, 301 Graves Hall, Tuscaloosa, AL 35487, USA

2. University of Nebraska-Lincoln

3. 107 Carmichael Hall, 520 Colonial Dr, Tuscaloosa, AL, 35401, USA

4. Department of Educational Studies in Psychology, Research Methodology and Counseling, University of Alabama, 313 Carmichael Hall, Box 87023, Tuscaloosa, AL 35401, USA

5. University of Alabama, USA

Abstract

Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a ‘data-informed school leader. The measurement invariance, reliabilities and construct and predictive validities of the Data-Informed School Leadership Survey (DISL Survey) are assessed using various psychometric statistical techniques. Methods: Using data collected from teachers in 155 public middle schools in a southern state, the following psychometric statistics used to address our purpose: the Many-Facet Rasch (MFR) Model, Bayesian second-order Confirmatory Factor Analysis (CFA), Bayesian Structural Equation Modeling- Multiple Indicators, Multiple Causes analysis (Bayesian SEM-MIMIC), and reliability analysis. Findings: Results: confirm an adequate fit from all MFR, Bayesian CFA, and MIMIC models and a high reliability (Cronbach α = .98). The DISL Survey instrument exhibits sound psychometric properties. Results likewise confirm the value of using MFR modeling and Bayesian methods to examine the psychometric properties of DISL Survey as a means of improving educational leadership measures. Implications for Research and Practice: Data from this study confirm the validity and reliability of the Data-Informed School Leadership Survey (DISL Survey) as an instrument to assess the strengths and weaknesses of Data-Informed School Leadership (DISL) and as such a means for providing feedback for improving such leadership. Heretofore a measure for assessing this leadership was non-existent.

Funder

University of Alabama

Publisher

SAGE Publications

Reference162 articles.

1. Leading Data Use in Schools: Organizational Conditions and Practices at the School and District Levels

2. Controversy and the Rasch Model

3. A systematic review and meta-analysis of data use professional development interventions

4. Asparouhov T., Muthén B. (2010). Bayesian analysis of latent variable models using Mplus. https://www.statmodel.com/download/BayesAdvantages18.pdf.

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