scholarly journals The effect of misssing data handling methods on goodness of fit indices in confirmatory factor analysis

2014 ◽  
Vol 9 (8) ◽  
pp. 208-241 ◽  
Author(s):  
Kse Alper
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Data Handling ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Handling Methods

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

2022 ◽  
pp. 003329412110636
Author(s):  
Bruno Faustino
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Fit Indices ◽  
Portuguese Population ◽  
Dysfunctional Cognitions ◽  
Confirmatory Factor

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.

scholarly journals Mengakomodasi Efek Metode dalam Pengujian Validitas Konstruk Melalui Analisis Faktor Konfirmatori

2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Wahyu Widhiarso
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Indices ◽  
Method Effect ◽  
Confirmatory Factor ◽  
Method Effects ◽  
Item Writing

Literatures in the field of psychometrics recommend researchers to employvarious of methods on measuring individual attributes. Ideally,each methods are complementary and measuresthe construct designed to be measured. However, some problems arise when among the methods is unique and unrelated to the construct being measured. The uniqueness of method can lead what is called the method effect. In testing construct validity using confirmatory factor analysis, the emergence of this effect tend to reducing the goodness of fit indices of the model. There are many ways to solve these problem, one of themis controling the method effects and accommodate it to the model. This paper introduces how to accommodate method effecton the confirmatory factor analysis using structural equation modeling. In the application section, author identify the emergence of method effects due to the differences item writing direction (favorable-unfavorable). The analysis showed that method effectemerge from different writing direction.

scholarly journals Psychometric Comparison of the Persian Salzburg Emotional Eating Scale and Emotional Eater Questionnaire Among Iranian Adults

2021 ◽  
Author(s):  
Sahar Ghafouri ◽  
Abbas Abdollahi ◽  
Maryam Hagi ◽  
Ali Ganbari ◽  
Aleiia J.N. Asmundson
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Emotional Eating ◽  
Goodness Of Fit ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Average Variance ◽  
Two Measures ◽  
Validity Tests

Abstract Background: The Salzburg Emotional Eating Scale (SEES) and the Emotional Eater Questionnaire (EEQ) are self-reported measures developed to evaluate emotional eating in adults in Western countries. To date, the psychometric properties of the SEES and the EEQ have not been studied among Iranian adults. The aim of the current study is to translate the SEES and the EEQ from English to Persian and examine the psychometric properties of the SEES and EEQ.Method: The sample of this study comprised of 489 Iranian adults who completed the SEES and the EEQ questionnaires online. Results: Findings of face, content, and construct validity tests confirmed that the SEES and the EEQ had acceptable validity and appropriate reliability. The results from confirmatory factor analysis showed acceptable goodness-of-fit indices for two measures. Conclusion: Results of Average Variance Extracted, Construct Reliability, and goodness-of-fit indices showed that the SEES was better for evaluating emotional eating among Iranian adults than the EEQ.

The Empathic Process and Misconceptions that Lead to Burnout in Healthcare Professionals

2017 ◽  
Vol 20 ◽  
Author(s):  
Marta Villacieros ◽  
Ricardo Olmos ◽  
José Carlos Bermejo
Keyword(s):  
Factor Analysis ◽  
Risk Factor ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Healthcare Professionals ◽  
Self Esteem ◽  
Burnout Syndrome ◽  
Fit Indices ◽  
Alpha Coefficient ◽  
Confirmatory Factor

AbstractEmpathy has been identified as a relevant variable in order to predict burnout in healthcare professionals. In addition, assertiveness and self-esteem have been considered relevant variables to develop empathic capacity. In the other hand, misconceptions surrounding empathy constitute a risk factor for burnout. Two adult samples (N = 252 and N = 275) were used to explore and confirm the underlying structure of two questionnaires. The Exercise of Process of Empathy (EPE) scale (18 items) confirmatory factor analysis including 5 dimensions (cognitive and emotional comprehension, attention, clarity and assertiveness), showed reasonable goodness- of-fit indices χ2(130) = 269.63, p < .001; RMSEA = .069 90% CI [0.058 – 0.079]; CFI = .965; TLI = .959. Alpha coefficient resulted .848. Common Misconceptions (EH) of empathy scale (16 items) confirmatory factor analysis, including 3 dimensions (feeling, confluence and character misconceptions) also obtained reasonable goodness-of-fit indices χ2(101) = 250.59, p < .001; RMSEA = .075 90% CI [0.063 – 0.087]; CFI = .952; TLI = .943. Alpha coefficient for Character resulted .727 (5 items), for Confluence .764 (5 items) and for Feeling .822 (6 items). The SEM model’s R2 resulted .303, being EH (misconceptions) a risk factor (b* = .171), EPE (empathy process) a protection factor (b* = –.183). The model partially explains how misconceptions empathy process and self-esteem (b* = –.334) relate to burnout syndrome in healthcare professionals; what is more, it heralds a potential means to prevent it.

scholarly journals EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS OF PERCEIVED SELF-EFFICACIES AMONG TEACHERS STUDENTS AT FACULTY OF EDUCATION, HELWAN UNIVERSITY, EGYPT: FROM BANDURA’S THEORY TO PROPOSED MODEL

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Dina Samir Sayed Ali Mekky ◽  
Mohamed Atef Mohamed Mohamed El- Badrama
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Self Efficacy ◽  
Goodness Of Fit ◽  
Teaching Staff ◽  
Fit Indices ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Faculty Of Education

The purpose of this study is to examine the validity and reliability of perceived self-efficacies questionnaire (PSE) which is designed for university students at faculty of education. A total of 472 students participated, selected by using cluster random sampling. In order to examine the construct validity of the PSE, Quantitative data were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using SPSS 23 and AMOS 23. EFA revealed similar structures from prior research and the present study. The CFA approach verified the questionnaire of perceived self-efficacies was satisfactory for university students’ context. This work concludes the perceived self-efficacies of university students have a nine-factor structure: Planning perceived self-efficacy, Moral and emotional perceived self-efficacy, Social leadership perceived self-efficacy, Academic perceived self-efficacy, Reading perceived self-efficacy, Technology perceived self-efficacy, Research perceived self-efficacy, Motivated perceived self-efficacy and Creative perceived self-efficacy. The goodness of fit indices values shows good fit for self-efficacies with nine factors. According to these findings, the PSE is appropriate for researchers or teaching staff whose aim is to measure his/her students perceived self-efficacies beliefs. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0770/a.php" alt="Hit counter" /></p>

scholarly journals Validation of the medium and short version of CENSOPAS-COPSOQ: A psychometric study in the Peruvian population

2021 ◽  
Author(s):  
Martha R. Lucero-Perez ◽  
Iselle Sabastizagal ◽  
Jhon Astete ◽  
Miguel Angel Burgos ◽  
David Villarreal-Zegarra ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Second Order ◽  
Multidimensional Analysis ◽  
Sufficient Evidence ◽  
Short Version ◽  
Fit Indices ◽  
Psychosocial Risks ◽  
Confirmatory Factor

Abstract Background: The presence of psychosocial risks at work is associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 Medium-Version to the Peruvian context and to develop a Short-Version of the instrument.Method: Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity.Results: A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. The latter required adding four pairs of correlated errors to reach adequate fit values. Finally, a short version of only 31 items was designed from the items with optimal fit indices.Conclusions: The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ. The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru.

Confirmatory Factor Analysis of Implicit Beliefs Measure and the Role of Demographics among Pakistani Sample

2020 ◽  
Vol 23 ◽  
Author(s):  
Maryam Khan ◽  
Anila Kamal
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Goodness Of Fit ◽  
Implicit Theories ◽  
Fit Indices ◽  
Adequate Model ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Fit Index

Abstract Implicit theories (also referred to self-theories) represent a cognitive conceptualization about a matter, generally raised as a belief. It is marked as the primary aspect of cognitive processing among living beings affecting their overall behavior towards others’. In the present study, it is attempted to consider a Pakistani perspective on this phenomenon of self-theories and also to validate the implicit theories Scale. It is a measure of people’s beliefs about things to be fixed or changeable. A quantitative approach of correlational methodology was employed. Participants of the study were 355 Pakistani young adults with an age range of 20–30 years (M = 23.08, SD = 1.99). There were 175 males and 180 females (as they reported their gender) from Islamabad. Confirmatory factor analysis was computed to assess the dimensionality of the scale. An adequate model fit indices were found as Root Mean Square Error of Approximation = .04, Comparative Fit Index = .99, Tucker-Lewis Index = .98, Goodness of Fit Index = .97, and Incremental Fit Index = .99, confirming a bidimensional implicit theories measure. The reliability coefficients of Entity Theory and Incremental Theory subscales were assessed through internal consistency and test-retest methods which are found to be in an acceptable range. Demographic specifications are also addressed to reflect upon the indigenous importance of this concept. This will be an additive feature in the literature to consider the cultural specification enabling individuals to align their mindsets in the desired direction of growth and achievement.

Confirmatory Factor Analysis of the Computer Hassles Scale

1998 ◽  
Vol 83 (3) ◽  
pp. 883-890
Author(s):  
Richard A. Hudiburg
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
A Priori ◽  
Latent Structure ◽  
Fit Indices ◽  
Normative Database ◽  
Confirmatory Factor ◽  
Best Fit

The objective of this research was to determine the latent structure of the Computer Hassles Scale using confirmatory factor analysis. This study employed a normative database of 1199 student computer users. Both a priori and a posteriori latent structure models were tested using LISREL. The analyses did not support a latent structure of the scale based on the scale's original two-factor definition. Using various goodness-of-fit indices, a four-factor model was the best fit.

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