Using Exploratory Structural Equation Modeling to Investigate the Construct Validity of the Critical Thinking Disposition Scale

2021 ◽  
pp. 073428292199056
Author(s):  
Christopher L. Thomas ◽  
Amy Roberson Hayes
Keyword(s):  
Critical Thinking ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Academic Program ◽  
Assessment Tools ◽  
Equation Modeling ◽  
Future Research ◽  
Exploratory Structural Equation Modeling ◽  
Critical Thinking Disposition ◽  
Thinking Disposition

One of the primary goals of higher education is to enhance students’ critical thinking skills as they work to complete their program of study. As such, it is for critical educators and academic program coordinators to have access to assessment tools that can provide accurate estimates of the cognitive and dispositional domains of higher-order thinking. Therefore, the current study was designed to provide evidence of the psychometric properties of the Critical Thinking Disposition Scale. Data were collected from 558 undergraduate and graduate students. Using exploratory structural equation modeling, we demonstrated that a 2-factor solution—consisting of critical openness and reflective skepticism dimensions—provided a good fit to the observed data. Additionally, our results showed critical openness and reflective skepticism scores were positively associated with conceptually related constructs (e.g., need for cognition and flexible thinking), demonstrating the convergent validity of the instrument. Our discussion concerns the potential utility of instrument for those interested in assessing critical thinking dispositions and avenues for future research.

scholarly journals A formative assessment model of critical thinking in mathematics learning in junior high school

2015 ◽  
Vol 1 (2) ◽  
pp. 186
Author(s):  
R Rosnawati ◽  
Badrun Kartowagiran ◽  
Jailani Jailani
Keyword(s):  
Critical Thinking ◽  
Structural Equation ◽  
Formative Evaluation ◽  
Junior High ◽  
Evaluation Model ◽  
Equation Modeling ◽  
Thinking Skill ◽  
Critical Thinking Skill ◽  
Critical Thinking Disposition ◽  
Thinking Disposition

This study aims to obtain a valid and reliable formative evaluation model of critical thinking. The method used in this research was the research and development by integrating Borg & Gall's model and  Plomp's development model. The ten steps Borg & Gall’s model were modified into five stages as the stages in the Plomp's model. The subjects in this study were 1,446 students of junior high schools in DIY, 14 mathematics teacher, and six experts. The content validity employed was expert judgment, the empirical validity and reliability used were loading factor, item analysis used PCM 1PL, and the relationship between disposition and critical thinking skill used was structural equation modeling (SEM). The developed formative evaluation model is the procedural model. There are five aspects of critical thinking skill: mathematic reasoning, interpretation, analysis, evaluation, and inference, which entirely composed of 42 items. The validity of the critical thinking skill instruments achieves a significance degree as indicated by the lowest and the highest loading factors of 0.38 and 0.74 subsequently, the reliability of every aspect in a good category. The average level of difficulty is 0.00 with the standard deviation of 0.45 which is in a good category. The peer assessment questionnaire of critical thinking disposition consists of seven aspects: truth-seeking, open-minded, analysis, systematic, self-confidence, inquisitiveness, and maturity with 23 items. The critical thinking disposition validity achieves the significance degree as indicated by the lowest and the high factor loading of 0.66 and 0.76 subsequently, and the reliability of every aspect in a good category. Based on the analysis of the structural equation model, the model fits the data.

Coaching Efficacy and Exploratory Structural Equation Modeling: A Substantive-Methodological Synergy

2011 ◽  
Vol 33 (6) ◽  
pp. 779-806 ◽  
Author(s):  
Nicholas D. Myers ◽  
Melissa A. Chase ◽  
Scott W. Pierce ◽  
Eric Martin
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Future Research ◽  
Model Data ◽  
Single Group ◽  
Exploratory Structural Equation Modeling ◽  
Coaching Efficacy

The purpose of this article was to provide a substantive-methodological synergy of potential importance to future research in sport and exercise psychology. The substantive focus was to improve the measurement of coaching efficacy by developing a revised version of the coaching efficacy scale (CES) for head coaches (N = 557) of youth sport teams (CES II-YST). The methodological focus was exploratory structural equation modeling (ESEM), a methodology that integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) within the general structural equation model (SEM). The synergy was a demonstration of how ESEM (as compared with CFA) may be used, guided by content knowledge, to develop (or confirm) a measurement model for the CES II-YST. A single-group ESEM provided evidence for close model-data fit, while a single-group CFA fit significantly worse than the single-group ESEM and provided evidence for only approximate model-data fit. A multiple-group ESEM provided evidence for partial factorial invariance by coach’s gender.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

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