Testing Competing Structural Models of Approaches to Learning in a Sample of Undergraduate Students: A Confirmatory Factor Analysis

2003 ◽  
Vol 18 (1-2) ◽  
pp. 11-22 ◽  
Author(s):  
Tyrone Donnon ◽  
Claudio Violato
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Structural Models ◽  
Approaches To Learning ◽  
Confirmatory Factor

Confirmatory Factor Analysis of Dospert Scale with Chinese University Students

2014 ◽  
Vol 114 (1) ◽  
pp. 185-197 ◽  
Author(s):  
Joseph Wu ◽  
Hoi Yan Cheung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Risk Taking ◽  
Factor Model ◽  
Empirical Support ◽  
Convenience Sample ◽  
Domain Specific ◽  
Confirmatory Factor

The factor structure of the 30-item Domain Specific Risk Taking Attitude (DOSPERT) scale (Blais & Weber, 2006) was examined with a convenience sample of 205 Chinese undergraduate students from Macao. A comparison of five competing models via confirmatory factor analysis yielded empirical support for the perspective that risk-taking attitude was content-dependent. After removing the items in the Financial subscale of the DOSPERT scale and some post hoc modifications, a reasonably good fit to the four-correlated-factor model was achieved, in concordance with the theoretical framework. However, items in some scales needed further revision to purify their factor structure so that the DOSPERT scale would be a more psychometrically sound measure for investigating one's risk-taking attitudes in different life domains.

An Evaluation of Competing Structural Models of Adolescents' Concerns: Chi-Squared, Fit Indices, and Parsimony

1996 ◽  
Vol 79 (3) ◽  
pp. 859-863 ◽  
Author(s):  
Claudio Violato
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Structural Models ◽  
Original Model ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Chi Squared

In 1993 Adwere-Boamah and Curds replicated a 1988 study by Violato and Holden of a four-factor model of adolescents' concerns. Employing confirmatory factor analysis, they concluded that the model did not fit the data well. In a re-analysis, it is suggested in the present paper that on the contrary, the results support the original model.

scholarly journals Validity and Reliability of the Academic Resilience Scale in Undergraduate Students of Ahvaz Universities

2020 ◽  
Author(s):  
M Sodani ◽  
R Ghasemi Jobaneh
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Academic Engagement ◽  
Convergent Validity ◽  
Academic Resilience ◽  
Validity And Reliability ◽  
Alpha Coefficient ◽  
Resilience Scale ◽  
Confirmatory Factor

Introduction: Given the importance of academic resilience in students' academic life, the aim of this study was the validity and reliability of the academic resilience scale in undergraduate students of Ahvaz universities. Methods: in this descriptive psychometric study, the number of 306 undergraduate students from Ahvaz universities (Jundishapur University of Medical Sciences, Shahid Chamran University, Islamic azad University) were selected using Voluntary sampling method and responded to the Cassidy Academic resilience Scale and Fredericks et al. Academic Engagement Scale. Reliability using Cronbach's alpha coefficient, Convergent validity using Pearson correlation coefficient, and construct validity using confirmatory factor analysis were calculated.The collected data were analyzed using SPSS-23 and AMOS-21 software. Result: Confirmatory factor analysis demonstrated that the ratio χ2/df is 1.89 for three factor structure and fit indexes of model were satisfactory and reasonable. Reliability according to Cronbach's alpha coefficient for Academic resilience Scale was reported 0.85 (perseverance = 0.75, reflecting and adaptive help-seeking= 0.76, negative affect and emotional response= 0.78).  There is also a positive and significant correlation between academic resilience and Academic Engagement and Convergent validity is confirmed (r= 0.35). Conclusion: According to the results of current research, the Academic resilience Scale is a reliable instrument with valid psychometric properties to measure Academic Adjustment in Iranian students and students with lower academic resilience can be identified And take appropriate psychological measures for them.

Reliability and Validity of a Turkish Version of the Passionate Love Scale

2014 ◽  
Vol 42 (4) ◽  
pp. 673-684 ◽  
Author(s):  
Filiz Yildirim ◽  
Sengul Hablemitoglu ◽  
Rosemary V. Barnett
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Undergraduate Students ◽  
Reliability And Validity ◽  
Turkish Population ◽  
Turkish Version ◽  
Reliable Measure ◽  
Passionate Love ◽  
Confirmatory Factor

Our purpose in this study was to evaluate the reliability and validity of a Turkish version of the Passionate Love Scale (PLS). Participants in the study were 150 undergraduate students. We assessed the construct validity of the PLS using confirmatory factor analysis. To assess the reliability of the PLS we calculated the internal consistency coefficient and found that the Cronbach's alpha was .89. Our results indicated that the PLS was a valid and reliable measure of passionate love with a Turkish population.

scholarly journals Psychometric examination of Runco Ideational Behavior Scale: Thai adaptation

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Puthyrom Tep ◽  
Sorakrich Maneewan ◽  
Saranya Chuathong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Assessment Tool ◽  
Reliability And Validity ◽  
Dimensional Structure ◽  
Self Assessment ◽  
Confirmatory Factor ◽  
Behavior Scale ◽  
Creative Ideation

AbstractCreativity is a multidimensional construct. Several different approaches have been developed to measure creativity, including psychometric scales. The Runco Ideational Behavior Scale (RIBS) is one such measure of creative ideation. The primary purpose of this paper was to assess the 23 items of the RIBS in the context of the Thai language and examine scale reliability and validity. Participants, consisting of 508 undergraduate students selected from five Thai public universities, were selected through a convenience sampling approach involving both exploratory and confirmatory factor analysis. Results suggested that the Thai version of the RIBS presented a valid measure to a certain extent. Factor analysis of the empirical data indicated a two-dimensional structure. Confirmatory factor analysis (CFA) results confirmed that the two-factor construct demonstrated a better fit with improved psychometric characteristics. Six items were eliminated from the Thai RIBS version inventory: five items during explanatory factor analysis (EFA) and one during the CFA process. Results will contribute to ascertaining that the Thai version of the RIBS instrument can be used as a self-assessment tool for measuring students’ creative ideation. Implications and limitations of this research are discussed with suggestions for future studies.

Development and Validation of the College Social–Emotional Crossroads Inventory

2019 ◽  
Vol 28 (3) ◽  
pp. 496-511
Author(s):  
Patton O. Garriott ◽  
Helen Chao ◽  
Mackenzie Jessen ◽  
Ree Ae Jordan ◽  
Joseph Galluzzo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Family Income ◽  
Social Emotional ◽  
First Generation College Student ◽  
Cultural Fit ◽  
Two Samples ◽  
Confirmatory Factor ◽  
First Generation College

The purpose of this study was to develop and provide initial validity evidence for the College Social–Emotional Crossroads Inventory (C-SECI). A sample (N = 751) of undergraduate students was randomly split into two samples for exploratory and confirmatory factor analysis. Results of exploratory factor analysis indicated that three factors should be extracted from the data and that the items comprised three subscales: Campus Cultural Fit, Academic Capital, and School–Family Integration. A confirmatory factor analysis suggested a bifactor structure was the best representation of the C-SECI items. Furthermore, scores on the C-SECI subscales correlated in expected directions with measures of institutional classism, academic self-efficacy, academic progress, global stress, first-generation college student status, subjective social status, and family income. The C-SECI is a brief measure that can be used to capture tensions students may experience between their postsecondary institutions and families and communities of origin.

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