scholarly journals Evaluation of Zuckerman-Kuhlman Personality Questionnaire-50-CC in Serbian culture

2015 ◽  
Vol 2 (3) ◽  
pp. 217-230 ◽  
Author(s):  
Dušanka Mitrović ◽  
Petar Čolović ◽  
Snežana Smederevac
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Equation Modeling ◽  
Personality Questionnaire ◽  
Basic Assumptions ◽  
Confirmatory Factor ◽  
Best Fitting ◽  
Best Fit ◽  
Fitting Model

The main purpose of this research was to evaluate dimensions of the Zuckerman-Kuhlman Personality Questionnaire-50-CC (ZKPQ-50-CC) in the Serbian culture in the light of some of the basic assumptions of the alternative five-factor model – the cross-cultural stability, construct validity and heritability. The study had two parts. The aim of the first study is to evaluate the replicability of the alternative FFM in a Serbian sample (N = 1155). Three structural models were tested using confirmatory factor analysis. The model which included correlated dimensions and four omitted items showed the best fit. The second study, conducted on a sample of 200 participants (90 male and 110 female), was set to test several models of relations between the alternative FFM and Eysenck's PEN model. Four models were tested using the structural equation modeling. The best- fitting model included three latent dimensions, which corresponded to PEN dimensions.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

Working Memory, Mental Prospection, Time Orientation, and Cognitive Insight

2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan
Keyword(s):  
Working Memory ◽  
Structural Equation ◽  
Factor Model ◽  
Time Orientation ◽  
Equation Modeling ◽  
Cognitive Insight ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Positive Effect ◽  
Three Factor

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.

On the Structure of Affect

2021 ◽  
Vol 229 (1) ◽  
pp. 24-37 ◽  
Author(s):  
Nadine Wedderhoff ◽  
Timo Gnambs ◽  
Oliver Wedderhoff ◽  
Tanja Burgard ◽  
Michael Bošnjak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Factor Model ◽  
Self Report ◽  
Equation Modeling ◽  
Positive And Negative Affect ◽  
Correlation Matrices ◽  
The World ◽  
Best Fit ◽  
Cross National

Abstract. The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ) is a popular self-report questionnaire that is administered all over the world. Though originally developed to measure two independent factors, different models have been proposed in the literature. Comparisons among alternative models as well as analyses concerning their robustness in cross-national research have left an inconclusive picture. Therefore, the present study evaluates the dimensionality of the PANAS and differences between English and translated versions of the PANAS using a meta-analytic structural equation modeling approach. Correlation matrices from 57 independent samples ( N = 54,043) were pooled across subsamples. For both English and non-English samples, a correlated two-factor model including correlated uniquenesses provided the best fit. However, measurement invariance analyses indicated differences in factor loadings between subsamples. Thus, cross-national application of the PANAS might only be justified if measurement equivalence was explicitly tested for the countries at hand.

Examining the quantitative determinants of organizational performance: evidence from China

2015 ◽  
Vol 19 (2) ◽  
pp. 23-41 ◽  
Author(s):  
Ying Wang ◽  
Ramudu Bhanugopan ◽  
Pamela Lockhart
Keyword(s):  
Organizational Performance ◽  
Organization Theory ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Factor Model ◽  
Five Factor Model ◽  
Performance Model ◽  
Equation Modeling ◽  
Content Type ◽  
Innovation And Technology

Purpose – The aim of this paper is to examine the determinants of organizational performance (OP) of business enterprises located in China and to explore how individual demographic and organizational characteristics affect OP. Design/methodology/approach – This study applies quantitative methods to examine the OP. Data were collected from 405 managers across 306 organizations in China. Findings – The study finds that, overall, OP is related to five factors, namely, finance and customer, internal business, work satisfaction, pay and benefits and innovation and technology (INT). The results from this study provide new perspectives and support the overall validity of the nomological network of OP factors. The findings also provide guidelines on which perspectives of performance organizations should be enhanced. Practical implications – The five-factor model of OP provides benefit to any organization or individual who intends to examine OP in China. In addition, the findings suggest that organizations should explore ways to enforce their performance. The findings also inform organizational decision makers about practices for performance improvement. Originality/value – The present study was undertaken to advance understanding of OP in China in several ways. The most significant element of this study was the five-factor performance model generated from the structural equation modeling analysis. The results from MANOVA highlight the potential impact of organization theory on how demographic and organizational variables influence OP in China.

A Structural Model of Enterprise Managers' Tacit Knowledge and Personality Traits

2014 ◽  
Vol 42 (5) ◽  
pp. 783-798 ◽  
Author(s):  
Hua Fang ◽  
Shuhua Zhang
Keyword(s):  
Job Performance ◽  
Personality Traits ◽  
Tacit Knowledge ◽  
Structural Equation ◽  
Structural Model ◽  
Factor Model ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Confirmatory Factor ◽  
Neo Five Factor Inventory

Tacit knowledge is considered an effective new structure to predict an individual's job performance. We administered the Tacit Knowledge Inventory for Managers to 127 Chinese enterprise managers; of these participants, 121 also completed the NEO-Five-Factor Inventory measure of Big Five personality traits. A confirmatory factor analysis supported the structure of tacit knowledge, in which we posited a 2-factor model of context substructure. Structural equation modeling path analysis demonstrated that neuroticism was a positive predictor of total and local tacit knowledge scores; that conscientiousness was a positive predictor of total, local, and global tacit knowledge scores; and that agreeableness was a positive predictor of total and local tacit knowledge scores.

Adaptation and Validation of the Athletic Identity Questionnaire-Adolescent for Use With Children

2008 ◽  
Vol 5 (4) ◽  
pp. 539-558 ◽  
Author(s):  
Cheryl B. Anderson ◽  
Karen J. Coleman
Keyword(s):  
Physical Activity ◽  
Construct Validity ◽  
Structural Equation ◽  
Factor Model ◽  
Athletic Identity ◽  
Ethnically Diverse ◽  
Self Report ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Child Factors

Background:This article describes the adaptation of the Athletic Identity Questionnaire (AIQ) for Adolescents for use with children and evaluates its construct validity. Based on a theoretical model supported in adults and adolescents, the AIQ-Child measures the general attribute of athletic, which encompasses exercise, sport, and physical activity and assesses 4 dimensions: appearance, competence, importance of activity, and encouragement from 3 sources (parents, friends, teachers/other adults).Methods:The hypothesized 4-factor model was tested using structural equation modeling in 2 samples of 9- and 10-year-old children that were ethnically diverse (N = 432) and Hispanic (N = 504).Results:Confirmatory factor analysis using LISREL 8.71 supported the 4-factor structure in a 40- or 38-item version in sample 1 (RMSEA = .039, .041) and sample 2 (RMSEA = .038, .038). As in the adult and adolescent models, there was also support for a higher-order model. The AIQ-Child factors were positively related to physical activity (r = .51 to .68) and fitness (r = .15 to .41) and negatively related to TV/computer use (r = –.28 to –.03) and adiposity (r = –.32 to .04).Conclusions:Findings support the factorial and construct validity of the AIQ-Child and its use as a self-report instrument in younger children.

Assessing Longitudinal Invariance of the Center for Epidemiologic Studies-Depression Scale Among Middle-Aged and Older Adults

2015 ◽  
Vol 23 (2) ◽  
pp. 302-314 ◽  
Author(s):  
Mulubrhan F. Mogos ◽  
Jason W. Beckstead ◽  
Kevin E. Kip ◽  
Mary E. Evans ◽  
Roger A. Boothroyd ◽  
...  
Keyword(s):  
Older Adults ◽  
Structural Equation ◽  
Factor Model ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Equation Modeling ◽  
Middle Aged ◽  
Partial Invariance ◽  
Best Fitting

Background and Purpose: The longitudinal invariance of the Center for Epidemiologic Studies-Depression (CES-D) scale among middle-aged and older adults is unknown. This study examined the factorial invariance of the CES-D scale in a large cohort of community-based adults longitudinally. Methods: 1,204 participants completed the 20-item CES-D scale at 4 time points 1 year apart. Structural equation modeling was used to identify best fitting model using longitudinal data at baseline and at 1-, 2-, and 3-year follow-up. Results: The 4-factor model showed partial invariance over 3 years. Two of the 6 noninvariant items were consistently noninvariant at the 3 follow-up points. Conclusion: Special consideration should be given to these 2 items when using the CES-D scale in healthy adults (45–75 years old).

Toward a parsimonious model of arbitrator acceptability

2013 ◽  
Vol 24 (1) ◽  
pp. 6-22 ◽  
Author(s):  
Jeffery D. Houghton ◽  
Randyl D. Elkin ◽  
Sarah Stevenson
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Selection Process ◽  
Equation Modeling ◽  
Content Type ◽  
Alternative Models ◽  
Best Fitting ◽  
Selection Research ◽  
Parsimonious Model ◽  
What Matters

PurposeThe aim of this study is to take a construct validation approach toward developing and testing a parsimonious, yet comprehensive, higher‐order factor model of arbitrator acceptability that helps to identify what matters most in the arbitrator selection process.Design/methodology/approachThe paper uses structural equation modeling (SEM) techniques to examine data from a sample of union advocates attending an arbitration conference to test a hypothesized model of arbitrator acceptability that includes procedural justice, experience, and education as first‐order indicators of arbitrator acceptability. Three competing alternative models that add age, race/gender, and distributive justice, respectively, to the hypothesized model as an additional indicator of arbitrator acceptability were also examined.FindingsResults suggest that the hypothesized model is the best fitting of the four models tested. In addition, the path coefficients of the added paths in each of the alternative models were non‐significant.Research limitations/implicationsKnowledge regarding the relative importance of the various factors involved in arbitrator acceptability will be of interest to future researchers in determining which variables to study in arbitrator selection research as well as to practitioners seeking to better understand and manage the complex arbitrator selection process.Originality/valueThis study makes an important contribution to the literature by being among the first to examine both arbitrator characteristics and organizational justice concepts simultaneously in a single model. This study also takes an important step toward more clearly defining and validating the arbitrator acceptability construct. Finally, this study helps to provide an answer to the question of what matters most in the arbitrator selection process.

scholarly journals Validating the University Student Engagement Model through Structural Equation Modeling

2018 ◽  
Vol 5 (4) ◽  
pp. 318 ◽  
Author(s):  
Hafsa Mzee Mwita
Keyword(s):  
Structural Equation Modeling ◽  
Student Engagement ◽  
Structural Equation ◽  
Factor Model ◽  
University Student ◽  
Equation Modeling ◽  
Psychological Constructs ◽  
Confirmatory Factor ◽  
The University ◽  
Behavior And Cognition

<p><em>The main purpose </em><em>of this study is to investigate whether emotional, cognitive and behavioral engagements, represents three conceptually and empirically distinct psychological constructs when studied within the same domain. This paper reports part of the findings from a major study entitled “Predictors of Self-Handicapping Behavior among Muslim Students”. Testing for factorial equivalence of scores from a measuring instrument was carried-out through structural equation modeling by using AMOS version 16.</em><em> </em><em>Results of Confirmatory Factor Analysis of responses from 790 undergraduates prove that the SEM three factor model of University Student Engagement (USE) is empirically fit and reliable, which also supports the argument that emotion, behavior and cognition are the student engagement manifestations of an interrelated constellation of academic student engagement. </em></p>

Development and validation of an instrument measuring core job characteristics

2019 ◽  
Vol 34 (2) ◽  
pp. 373-385
Author(s):  
Nikolaos Tsigilis ◽  
Athanasios Koustelios
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Job Characteristics ◽  
Equation Modeling ◽  
Content Type ◽  
The Core ◽  
New Instrument ◽  
Job Diagnostic Survey

Purpose Much of prior research focused on the dimensionality of the part of Job Diagnostic Survey that measures the core job characteristics, with mixed findings. The purpose of this paper is to develop and validate an instrument assessing core job characteristics. Design/methodology/approach Public school teachers (n=685) serving in elementary and secondary schools filled in the Core Job Characteristics Inventory (CJCI). CJCI comprises 29 items to assess job autonomy, task significance, task identification, skill variety and feedback from the job. The development of the CJCI undergone the following stages: development of an initial pool of items, examination of its content validity by ten experts and a pilot study. Findings Exploratory factor analysis revealed five factors with satisfactory internal consistency. Confirmatory factor analysis showed mixed results. Application of exploratory structural equation modeling procedures revealed that a correlated five-factor model yielded an adequate fit to the data. Associations among the five work features were significant, positive and yielding moderate values. Correlations among the five-core job characteristics and two affective job responses (job satisfaction and emotional exhaustion) provided evidence of CJCI concurrent validity. Practical implications Human resources managers can use CJCI to measure core job characteristics or to evaluate interventions in the work places. Originality/value A new instrument was developed to measure core job characteristics, and to address previous shortcomings reported in the literature. The rigorous methodological procedure, which followed for the development of the CJCI combined with a cross-validation approach best guarantees its applicability.

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