Factor Structure and Criterion-Related Validity of the Air Force Officer Qualifying Test Form T for Pilot Applicants

Assessment ◽  
2021 ◽  
pp. 107319112110586
Author(s):  
Khalid ALMamari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Air Force ◽  
Structural Equation ◽  
Meta Analysis ◽  
Performance Criteria ◽  
Equation Modeling ◽  
Test Form ◽  
General Ability ◽  
Analytical Approaches

The Air Force Officer Qualifying Test (AFOQT) is the primary selection tool for officer applicants in the U.S. Air Force (USAF) for nearly seven decades. The AFOQT is revised and modified periodically, with rigorous equating and linking effort to ensure comparability and connectivity across forms. The most recent version of AFOQT is Form T that includes 10 cognitive ability and knowledge subtests. Despite the continuing validation effort of the AFOQT across forms, it was mostly directed to the general population of officer applicants, but not to any specific subpopulation. The current investigation reported three studies in an attempt to provide evidence for factor structure and criterion-related validity of AFOQT Form T for pilot applicants via four analytical approaches: meta-analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). The results suggested that AFOQT Form T data are best represented by a bifactor model with a general ability and four specific abilities, and that each latent construct has a distinct predictive utility for pilot performance criteria.

The Psychobiosocial States (PBS-S) Scale

2019 ◽  
Vol 35 (5) ◽  
pp. 658-665 ◽  
Author(s):  
Montse C. Ruiz ◽  
Claudio Robazza ◽  
Asko Tolvanen ◽  
Juri Hanin
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Structural Equation ◽  
Equation Modeling ◽  
Core State ◽  
Practice Session ◽  
Factor Solution ◽  
Feeling States ◽  
Confirmatory Factor ◽  
Perceived Impact

Abstract. This study examined the factor structure and reliability of the Psychobiosocial States (PBS-S) scale in the assessment of situational performance-related experiences. We administered the scale to 483 Finnish athletes before a practice session to assess the intensity and perceived impact of their performance-related feeling states. The hypothesized two-factor structure indicating functional effects (10 items) and dysfunctional effects (10 items) toward performance was examined via exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA). Regarding the intensity and perceived impact dimensions of reported states, ESEM and CFA showed a good fit for a two-factor solution of a 14-item PBS-S scale (seven functional and seven dysfunctional items). For both intensity and impact ratings, core state functional modalities were bodily, cognitive, and volitional, while core state dysfunctional modalities were volitional, operational, and anxiety. Findings support the use of a 14-item PBS-S scale to measure a range of preperformance states.

scholarly journals The JASP Data Library (1st ed.)

2020 ◽  
Author(s):  
Eric-Jan Wagenmakers ◽  
Šimon Kucharský
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Network Analysis ◽  
Structural Equation ◽  
Meta Analysis ◽  
Equation Modeling ◽  
Data Library

This is the documentation for the examples contained in the JASP Data Library. The structure of this documentation follows the layout of the JASP ribbon: the first parts deal with Descriptives, T-tests, ANOVA, Regression, Frequencies, and Factor Analysis, whereas the remaining parts concern various JASP modules, namely Meta-Analysis, Network Analysis, and Structural Equation Modeling.

Impact of active constructive leadership and passive corrective leadership on collective organizational commitment

2016 ◽  
Vol 37 (7) ◽  
pp. 822-842 ◽  
Author(s):  
Feng Wei ◽  
Jean Lee ◽  
Ho Kwong Kwan
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Factor Structure ◽  
Structural Equation ◽  
Mutual Influence ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type ◽  
Member Exchange

Purpose The purpose of this paper is to test the factor structure of the multifactor leadership questionnaire (MLQ) in the Chinese context and determine whether leader-member exchange (LMX) mediates the effects of active constructive leadership (ACL) and passive corrective leadership (PCL) on subordinates’ organizational commitment at the group level. Design/methodology/approach Questionnaires were completed by two employee samples. The first sample consisted of 615 employees from five pharmaceutical companies. The second sample consisted of 676 employees from 144 teams. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to test the hypotheses. Findings The factor analysis results showed two types of leadership in the data: ACL and PCL. The structural equation modeling showed that LMX mediated the effect of leadership on collective organizational commitment. Research limitations/implications The data were cross-sectional in nature. Furthermore, leadership and LMX were both measured from the perspective of followers. Practical implications Managers must realize that leadership is an art that requires not only the self-cultivation of individual behavior, but also appropriate and intelligent conduct when interacting with followers. Team leaders also must pay attention to both their high quality relationships with subordinates and the mutual influence within their groups. Originality/value The current study makes an empirical contribution to the psychometric properties of the MLQ, suggesting a higher two-factor structure appropriate for Chinese employees. It also clarifies the relationships between leadership, LMX and organizational commitment at multiple levels.

Toward a More Perfect Conceptualization of Perfectionism: An Exploratory Factor Analysis in Undergraduate College Students

Assessment ◽  
2020 ◽  
pp. 107319112097685
Author(s):  
Anthony Robinson ◽  
Sara Stasik-O’Brien ◽  
Matthew Calamia
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Hierarchical Structure ◽  
Structural Equation ◽  
Equation Modeling ◽  
Five Dimensions ◽  
Evaluative Concerns ◽  
The Hierarchical Structure

Previous investigations on the factor structure of perfectionism have largely focused on the Frost Multidimensional Perfectionism Scale and the Multidimensional Perfectionism Scale. The current study aimed to identify the underlying factor structure of perfectionism, based on several widely used measures, and to examine how these factors related to psychopathology and personality broadly. College students ( N = 598) completed several measures of perfectionism and broadband measures of psychopathology and personality. Exploratory structural equation modeling (ESEM) was conducted to examine the hierarchical structure of perfectionism followed by exploratory factor analysis. The hierarchical structure examined provides a framework for understanding the relationship between models of perfectionism at different levels of the hierarchy. The exploratory factor analysis revealed five dimensions of perfectionism: Achievement Striving, Evaluative Concerns, Expectations From Others, Narcissistic Perfectionism, and Organization. These dimensions were associated with psychopathology to differing degrees and were differentially related to personality. These results support using a multidimensional perspective to understand perfectionism.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

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.

Impulsivity and Aggression: A Meta-analysis Using the UPPS Model of Impulsivity

2019 ◽  
Author(s):  
Konrad Bresin
Keyword(s):  
Structural Equation Modeling ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Meta Analysis ◽  
The Other ◽  
Equation Modeling ◽  
Negative Urgency ◽  
Two Stage ◽  
Trait Impulsivity

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs < .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.

scholarly journals A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

2021 ◽  
Vol 18 (5) ◽  
pp. 2580
Author(s):  
Guangchao Charles Feng ◽  
Zhiliang Lin ◽  
Wanhua Ou ◽  
Xianglin Su ◽  
Qing Yan
Keyword(s):  
Structural Equation ◽  
Meta Analysis ◽  
Health Belief ◽  
Screening Tests ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Early Screening ◽  
The Public ◽  
Screening Programs ◽  
Belief Model

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

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