The Occupational Stress Inventory-Revised: Confirmatory factor analysis of the original inter-correlation data set and model

2010 ◽  
Vol 48 (3) ◽  
pp. 351-353 ◽  
Author(s):  
R.E. Hicks ◽  
M. Bahr ◽  
D. Fujiwara
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Occupational Stress ◽  
Data Set ◽  
Correlation Data ◽  
Confirmatory Factor ◽  
Stress Inventory

Testing Factorial Invariance across Groups: A Reconceptualization and Proposed New Method

1999 ◽  
Vol 25 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Gordon W. Cheung ◽  
Roger B. Rensvold
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Cross Cultural ◽  
Factorial Invariance ◽  
Published Data ◽  
Data Set ◽  
Test Items ◽  
Confirmatory Factor ◽  
Different Cultures

Many cross-cultural researchers are concerned with factorial invariance; that is, with whether or not members of different cultures associate survey items, or similar measures, with similar constructs. Researchers usually test items for factorial invariance using confirmatory factor analysis (CFA). CFA, however, poses certain problems that must be dealt with. Primary among them is standardization, the process that assigns units of measurement to the constructs (latent variables). Two standardization procedures and several minor variants have been reported in the literature, but using these procedures when testing for factorial invariance can lead to inaccurate results. In this paper we review basic theory, and propose an extension of Byrne, Shavelson, and Muthgn’s (1989) procedure for identifying non-invariant items. The extended procedure solves the standardization problem by performing a systematic comparison of all pairs of factor loadings across groups. A numerical example based upon a large published data set is presented to illustrate the utility of the new procedure, particularly with regard to partial factorial invariance.

Confirmatory Factor Analysis and Job Burnout Correlates of the Health Professions Stress Inventory

2002 ◽  
Vol 90 (1) ◽  
pp. 243-250 ◽  
Author(s):  
Syed Akhtar ◽  
Jenny S. Y. Lee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Patient Care ◽  
Emotional Exhaustion ◽  
Health Professions ◽  
Job Burnout ◽  
Public Hospitals ◽  
Personal Accomplishment ◽  
Confirmatory Factor ◽  
Stress Inventory

Previous research in 1994 by Gupchup and Wolfgang identified four factors from Wolfgang's Health Professions Stress Inventory (1988) that were common among a sample of practicing pharmacists. The factors were labeled Professional Recognition, Patient Care Responsibilities, Job Conflicts, and Professional Uncertainty, respectively. We used confirmatory factor analysis to assess whether this factor structure was generalizable to nurses. To examine concurrent validity, we correlated the factors with Maslach and Jackson's three dimensions of job burnout, i.e., Emotional Exhaustion, Depersonalization, and Personal Accomplishment. Data were collected through a questionnaire survey of a random sample of 9,380 nurses from across 43 public hospitals in Hong Kong, from which 2,267 (24.2%) responded. Analysis indicated statistically acceptable goodness of fit indices for the four-factor solution. Except for the factor Patient Care Responsibilities, all other factors had moderate correlations between .44 and .53 with Emotional Exhaustion and Depersonalization. Correlations between the factors of Stress Inventory and Personal Accomplishment were small but significant, ranging from –.25 to .13. Areas for further improving the psychometric properties of the inventory are discussed.

scholarly journals Confirmatory factor analysis of the ISB - Burnout Syndrome Inventory

2017 ◽  
Vol 6 (1) ◽  
pp. 28-41 ◽  
Author(s):  
Ana Maria T. Benevides-Pereira ◽  
Pedro Guilherme Basso Machado ◽  
Paulo Cesar Porto-Martins ◽  
José Antonio Carrobles ◽  
José de Oliveira Siqueira
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Occupational Stress ◽  
Personal Accomplishment ◽  
Burnout Syndrome ◽  
Initial Model ◽  
Organizational Conditions ◽  
Confirmatory Factor ◽  
Emotional Distancing ◽  
Two Sectors

AimBurnout is a dysfunctional reaction to chronic occupational stress. The present study analysis the psychometric qualities of the Burnout Syndrome Inventory (ISB) through Confirmatory Factor Analysis (CFA).MethodEmpirical study in a multi-centre and multi-occupational sample (n = 701) using the ISB. The Part I assesses antecedent factors: Positive Organizational Conditions (PC) and Negative Organizational Conditions (NC). The Part II assesses the syndrome: Emotional Exhaustion (EE), Dehumanization (DE), Emotional Distancing (ED) and Personal Accomplishment (PA).ResultsThe highest means occurred in the positive scales CP (M = 23.29, SD = 5.89) and PA (M = 14.84, SD = 4.71). Negative conditions showed the greatest variability (SD = 6.03). Reliability indexes were reasonable, with the lowest rate at .77 for DE and the highest rate .91 for PA. The CFA revealed RMSEA = .057 and CFI = .90 with all scales regressions showing significant values (β = .73 until β = .92).ConclusionThe ISB showed a plausible instrument to evaluate burnout. The two sectors maintained the initial model and confirmed the theoretical presupposition. This instrument makes possible a more comprehensive idea of the labour context, and one or another part may be used separately according to the needs and the aims of the assessor.

scholarly journals Application of Confirmatory Factor Analysis for Correlate of Students Attitude, Self-Belief, Students Engagement in Mathematics Lessons and Mathematics Achievement

2018 ◽  
Vol 7 (2.29) ◽  
pp. 535 ◽  
Author(s):  
Desi Rahmatina
Keyword(s):  
Factor Analysis ◽  
Mathematics Achievement ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Negative Relationship ◽  
Mathematics Lesson ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Data Set ◽  
Confirmatory Factor

The study aimed to propose the Confirmatory Factor Analysis via four latent variables : 1) Students Attitude toward mathematics, 2) Self-belief in mathematics, 3) Students engagement in mathematics lessons and 4) Mathematics Achievement  and 19 observed variables and then we conduct to the correlations between latent variables and observed variables. The subjects were 5795 eight grades students from the result of the Trends in International Mathematics and Science Study (TIMSS) 2011 assessment conducted in Indonesia. Data Analysis were undertaken using the Lisrel software to examine the effect of students attitude toward mathematics, students self belief and students engagement in mathematics lesson for mathematics achievement. The proposed Confirmatory Factor Analysis model of the latent variables and observed variables fit well with the empirical data set (RMSEA = 0,071). The results of multivariate analyses has shown a strong negative relationship between student attitude toward mathematics, self-belief in mathematics and their mathematics achievement (t value = -6.32 and t = -6.10, respectively) and a strong positive relationship between students engagement in mathematics lesson with mathematics achievement (t value = 8,28).   

scholarly journals DECORE-21: Assessment of occupational stress in police. Confirmatory factor analysis of the original model

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0205028
Author(s):  
Beatriz Talavera-Velasco ◽  
Lourdes Luceño-Moreno ◽  
Jesús Martín García ◽  
Daniel Vázquez-Estévez
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Occupational Stress ◽  
Original Model ◽  
Confirmatory Factor

Decentralization: Operationalization and measurement model

2016 ◽  
Vol 19 (3) ◽  
pp. 275-307 ◽  
Author(s):  
Boris Morozov
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Hypothesis Testing ◽  
Measurement Model ◽  
Focus Of Attention ◽  
Two Dimensions ◽  
Data Set ◽  
Proposed Model ◽  
Confirmatory Factor

Decentralization has been a continual focus of attention of both scholars and practitioners for more than half a century. Even though there is a general agreement on what decentralization is, there is no consensus about how it should be measured. This article builds on the existing body of literature that specifies three major dimensions of decentralization: political, administrative, and economic. The article offers a measurement model that unifies these dimensions in a meaningful manner that allows for comparison across countries. The proposed model is then empirically tested using confirmatory factor analysis of a data set of 37 countries over the period 2000-2009. This factor analysis reveals that there are, in fact, only two dimensions of the decentralization process. The newly developed modelʼs index illustrates that the conceptually challenging processes of decentralization can be accurately measured and analyzed. The index can be used for hypothesis testing of the causality role of decentralization.

scholarly journals DEVELOPING A SCALE FOR PERCEPTIONS OF COMPETENCY IN BIOLOGY TEACHING

2015 ◽  
Vol 14 (6) ◽  
pp. 764-778
Author(s):  
Guntay Tasci
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Instrument ◽  
Biology Teachers ◽  
Data Set ◽  
Biology Teaching ◽  
Teachers Perceptions ◽  
First Order ◽  
Second Stage ◽  
Confirmatory Factor

The purpose of this study was to develop a measurement instrument to determine pre-service teachers’ perceptions of competency in biology teaching. A total of 835 pre-service teachers participated in this study. The data set obtained at the first stage was analyzed using exploratory factor analysis and the data set obtained at the second stage was analyzed using first-order confirmatory factor analysis and then second-order confirmatory factor analysis. After those analyses, the convergent and discriminant validities of the scale with the determined factorial structures [χ2 (29, N=608) = 101 p<.000, χ2/df = 3.48, RMSEA=0.062, GFI=0.97, CFI=0.99, NNFI=0.98, NFI=0.98] were evaluated and Cronbach’s alpha, stratified alpha, and McDonald’s omega coefficients were estimated for internal consistency. Thus, a scale consisting of four sub-scales with 67 items in total was developed. The total score for the scale can be calculated by adding the scores of the sub-scales. Key words: biology teaching, biology teachers’ competency, scale development.

scholarly journals Assessment of Personality from a New Perspective: Characterix Personality Types Inventory

2018 ◽  
Vol 6 (03) ◽  
Author(s):  
Olcay Yilmaz ◽  
Aykut Yildirim ◽  
Dilek Yucedag
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Reliability And Validity ◽  
Principal Component ◽  
Personality Types ◽  
Data Set ◽  
Confirmatory Factor ◽  
The World ◽  
New Perspective

Even though it is taught and used in many countries all over the world there is a lack of emprical research and psychometric assesment on Eneagram classification system of personality. This study aimed to contribute the this literature and present some evidence as well as developing a valid and reliable inventory. Research sample consisted of 21140 young and adults and data were randomly divided into two groups with an aim of conducting principal component analysis and confirmatory factor analysis for each data set. As a result the inventory formed with 72 items and it can be said that it has high item-factor loadings, and each dimension measures the characteristics intended to measure while explaining the variance at an acceptable level. Many of the findings indicated a good fit. Sufficient internal consistency values were obtained in all dimensions. All these findings indicate that the inventory has sufficient reliability and validity values.

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