scholarly journals Validation of the Clance Impostor Phenomenon Scale with female Hebrew-speaking students

2020 ◽  
Vol 11 (4) ◽  
pp. 204380872097434
Author(s):  
Yosi Yaffe
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Internal Consistency Reliability ◽  
Impostor Phenomenon ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Impostor Feelings ◽  
Model Subject

The Clance Impostor Phenomenon Scale (CIPS) is a measure widely used to assess individuals’ self-perceptions of intellectual and professional fraudulence. The study aimed to investigate the psychometric properties of the Hebrew form for the CIPS (HCIPS) in female Hebrew-speaking students, in an attempt to further clarify its structure and strengthen its validity in international settings. The study comprised a sample of 248 female students ( M age = 27.74, SD = 7.32), who completed an online version of the questionnaire. Our results generally demonstrated satisfactory psychometric properties of the HCIPS total scale, with its internal consistency, reliability, and item-total-correlations meeting the standard criteria. The exploratory factor analysis yielded a stable four-factor solution for the 19-items, with its factors accounting for 54.81% of the model’s variance. The confirmatory factor analysis confirmed the four-factor model as compatible, with its fit-indices meeting the minimal standards of goodness of fit. The study’s findings are the first to identify a four-factor model, which improves the imbalanced factorial composition characterizing the common three-factor model. Subject to the study’s limitations, this evidence suggests that the HCIPS is a sound instrument for assessing impostor feelings among female Hebrew-speaking students.

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 Stress of Conscience Questionnaire (SCQ): exploring dimensionality and psychometric properties at a tertiary hospital in Australia

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Yangama Jokwiro ◽  
Elizabeth Pascoe ◽  
Kristina Edvardsson ◽  
Muhammad Aziz Rahman ◽  
Ewan McDonald ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Health Professionals ◽  
Goodness Of Fit ◽  
Job Strain ◽  
Factor Model ◽  
International Comparisons ◽  
Internal Consistency Reliability ◽  
Cross Sectional ◽  
Stress Of Conscience

Abstract Background This study explored the psychometric properties and dimensionality of the Stress of Conscience Questionnaire (SCQ) in a sample of health professionals from a tertiary-level Australian hospital. The SCQ, a measure of stress of conscience, is a recently developed nine-item instrument for assessing frequently encountered stressful situations in health care, and the degree to which they trouble the conscience of health professionals. This is relevant because stress of conscience has been associated with negative experiences such as job strain and/or burnout. The validity of SCQ has not been explored beyond Scandinavian contexts. Methods A cross-sectional study of 253 health professionals was undertaken in 2015. The analysis involved estimates of reliability, variability and dimensionality. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to explore dimensionality and theoretical model fit respectively. Results Cronbach’s alpha of 0.84 showed internal consistency reliability. All individual items of the SCQ (N = 9) met the cut-off criteria for item-total correlations (> 0.3) indicating acceptable homogeneity. Adequate variability was confirmed for most of the items, with some items indicating floor or ceiling effects. EFA retained a single latent factor with adequate factor loadings for a unidimensional structure. When the two‐factor model was compared to the one‐factor model, the latter achieved better goodness of fit supporting a one-factor model for the SCQ. Conclusion The SCQ, as a unidimensional measure of stress of conscience, achieved adequate reliability and variability in this study. Due to unidimensionality of the tool, summation of a total score can be a meaningful way forward to summarise and communicate results from future studies, enabling international comparisons. However, further exploration of the questionnaire in other cultures and clinical settings is recommended to explore the stability of the latent one-factor structure.

Psychometric Properties of the Coping Behavior Inventory Among Students of Arabic Universities

2018 ◽  
Vol 26 (1) ◽  
pp. 176-185
Author(s):  
Muayyad M. Ahmad ◽  
Abdulkarim Alzayyat ◽  
Ekhlas Al-Gamal
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Coping Behavior ◽  
Sampling Technique ◽  
Total Sample ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Arab Students ◽  
The University

Purpose:To examine the psychometric properties of the Coping Behavior Inventory (CBI) among Arab students in Jordanian universities.Methods:A stratified random sampling technique was used to select the universities and classes from each university. The total sample size was 587 students recruited from seven universities during the academic year 2015. The structure of the CBI was analyzed by exploratory factor analysis (EFA) using Statistical Package for Social Science and confirmatory factor analysis (CFA) using AMOS software. EFA for the original CBI showed poor factors structure with low reliabilities.Results:EFA and CFA revealed the modified 15-item and 3-factor scale (Problem Solving, Avoidance, Stay Optimistic), with high goodness of fit indices and strong items loading.Conclusion:The use of the modified version of CBI with students at the university level is recommended.

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.

scholarly journals Psychometric properties of the HEXACO-PI-R self-evaluation form in Slovak translation

2021 ◽  
Vol 23 (1) ◽  
pp. 1-8
Author(s):  
Elena Lisá ◽  
◽  
Michael Dzúrik ◽  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Self Report ◽  
Medium Effect ◽  
Mean Values ◽  
Confirmatory Factor

The study aimed to verify the psychometric properties of the 100-item HEXACO-PI-R questionnaire. The sample consisted of 1624 adults aged from 16 to 79 years (M=34.5, SD=13.35) who filled the paper-pen self-report form of the HEXACO-PI-R. The average internal consistency of the six factors was α=.78 (from .72 for Openness to .81 for Honesty-Humility) and α=.60 for facets. The Altruism scale in the Slovak translation did not reach a satisfactory internal consistency (α=.29). Mean values in the Slovak-speaking sample were 3.29, and standard deviations .53 for factor level and .74 at the facet level. Sex differences showed the higher Emotionality (d=.99) and Honesty-Humility (d= .38) in women. Age differences in Honesty-Humility showed a medium effect size. Factors did not inter-correlate, or they correlated weakly, except for r=.34 in the relationship between Agreeableness and Honesty-Humility. The factors were well distinguished from one another. The exploratory factor analysis with Promax rotation confirmed the six-factor model, which explained in total 44% of data variance, with an average loading of .60. Individual one-factor models met most of the goodness of fit criteria in confirmatory factor analysis, but the six-factor model did not meet them. The controversy associated with assessing the internal structure of multidimensional personality inventories by confirmatory factor analysis is discussed. According to the currently published research studies, the research findings supported the reliability and internal validity of HEXACO-PI-R in Slovak translation.

Psychometric Properties of the Extended Nursing Stress Scale: Measuring Stress in Workplace

2017 ◽  
Vol 25 (1) ◽  
pp. 31E-45E
Author(s):  
Muder Alkrisat ◽  
Manal Alatrash
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Response Rate ◽  
Workplace Stress ◽  
Fit Indices ◽  
Working Adults ◽  
Stress Scale ◽  
Nursing Stress ◽  
Confirmatory Factor

Background: Despite its popularity, the psychometric properties of the Extended Nursing Stress Scale (ENSS) in working adults are yet to be evaluated in different settings. Methods: This study examined the ENSS in acute care settings among licensed nurses through a questionnaire survey. The sample responses were examined using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: A response rate of 37% was achieved; 199 licensed nurses completed the questionnaire. Workplace stress was found to have factorial structures similar to those in the previous studies that had different samples. In this sample, all subfactors had satisfactory coefficients ranged between .58 and .89. The goodness of fit indices met the usual criteria. The reliability ranged between .64 and .95. Conclusions: The ENSS showed a stable structure with reasonable internal consistency and construct validity.

scholarly journals ANALYSIS AND RESULTS: CONFIRMATORY FACTOR ANALYSIS THE MALAY VERSION OF DREEM INVENTORY WITH MEDICAL STUDENTS OF UNISZA, KUALA TERENGGANU, MALAYSIA

2017 ◽  
Vol 10 (12) ◽  
pp. 338
Author(s):  
Mainul Haque ◽  
Muhamad Saiful Bahri Yusoff ◽  
Md. Anwarul Azim Majumder ◽  
Zainal Zulkifli ◽  
Farah Hanani Binti Mohd Nasir
Keyword(s):  
Factor Analysis ◽  
Medical Students ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Cross Sectional Study ◽  
Model Fit ◽  
Cross Sectional ◽  
Confirmatory Factor

  Objectives: The DREEM inventory has been universally established as a generic instrument to assess health-related educational programs. There were some apprehensions regarding the psychometric properties of the DREEM raised in last few years. This study evaluated first ever the psychometric properties of the Bahasa Melayu version of the DREEM in a sample of Malaysian medical students.Methods: A cross-sectional study was carried and universal sampling method was applied. Researchers selected 1-5th-year medical students of Universiti Sultan Zainal Abidin, Malaysia, as study subjects. Researchers collected data through a guided self-administered questionnaire during a face-to-face session.Results: Confirmatory factor analysis (CFA) showed that the one factor model of DREEM-M (Model A), consisting 50 items were not fit, indicating it was a multidimensional instrument. On further CFA, it appeared that the proposed five-factor structure was not fit (Model B) as all the goodness-of-fit indices did not signify a model fit.Conclusions: The study findings revealed that the DREEM inventory 50-item inventory failed to achieve a model fit, but it demonstrated a high of internal consistency. The proposed 19-item DREEM-M revealed good model fit.

scholarly journals Psychometric evaluation of the Arabic version of the higher education inventory scale for nursing students

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dina Masha’al ◽  
Audai A. Hayajneh ◽  
Loai Issa Tawalbeh
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Nursing Students ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Internal Consistency Reliability ◽  
Arab Countries ◽  
Arabic Version ◽  
Confirmatory Factor ◽  
Stress Levels

Abstract Background Studies in the literature have relied on a single instrument to assess stress levels and sources among nursing students in Jordan and in other Arab countries. Thus, there is a need to develop Arabic versions of psychometrically validated instruments for evaluating a wider range of aspects related to stress and stressors. The Higher Education Stress Inventory (HESI) is an instrument used to assess various aspects of stress and stressors related to higher education in different educational settings and among different student populations. To date, no exploratory or confirmatory factor analyses have been conducted to study the factor structure of the Arabic version of the HESI. Therefore, the current study aimed to evaluate the psychometric properties of the Arabic version of the HESI (Arabic-HESI) among nursing students in Jordan. Methods The structure of the instrument was tested using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and maximum likelihood estimation among a sample of 355 nursing students at five Jordanian universities. Results The Arabic-HESI proved to have excellent content validity index (CVI = 0.92). The instrument showed good internal consistency reliability (Cronbach’s α = 0.75), as well as for the two emerged factors “challenges” and “dissatisfaction” (Cronbach’s α were 0.75, 0.72 respectively). The results support the two-factor model for the Arabic-HESI, as the instrument was found to have robust structure and acceptable goodness-of-fit indices. Conclusion The Arabic-HESI is a reliable and valid instrument for assessing stress levels and stressors among nursing students in Jordan. Using the shortened version of the HESI to assess stress among nursing students is recommended. Identifying new features of stress and stressors among nursing students in Jordan will enable universities and nursing faculties to better support their students.

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.

scholarly journals The Pandemic Stressor Scale – Factorial Validity and Reliability of a Measure of Stressors During a Pandemic

2021 ◽  
Author(s):  
Annett Lotzin ◽  
Ronja Ketelsen ◽  
Irina Zrnic ◽  
Brigitte Lueger-Schuster ◽  
Maria Böttche ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
General Factor ◽  
Factorial Validity ◽  
Fit Indices ◽  
Validity And Reliability ◽  
Factor Loadings ◽  
Confirmatory Factor ◽  
Stressor Scale

Abstract Background: This study aimed to assess the factorial validity and reliability of the Pandemic Stressor Scale (PaSS), a new measure to assess the severity of distress for different stressors relevant during a pandemic or epidemic. Methods: The PaSS was administered in N = 2760 German participants. Exploratory factor analysis was used to extract factors. The factor structure obtained in the German sample was examined in N = 1021 Austrian participants using confirmatory factor analysis. χ², RMSEA, SRMR, CFI, TLI were assessed as global goodness of fit indices for two models (Model 1: nine-factor model; Model 2: nine-factor model combined with a second-order general factor). We additionally assessed factor loadings, communalities, factor reliability, discriminant validity as local fit indices. Internal consistency, item discrimination, and item difficulty were assessed as additional test quality criteria.Results: The results of the exploratory factor analysis suggested a nine-factor solution with factor loadings accounting for 50.4% of the total variance (Factor 1 ‘Problems with Childcare’, Factor 2 ‘Work-related Problems’, Factor 3 ‘Restricted Face-to-Face Contact’, Factor 4 ‘Burden of Infection ‘, Factor 5 ‘Crisis Management and Communication’, Factor 6 ‘Difficult Housing Condition’, Factor 7 ‘Fear of Infection’, Factor 8 ‘Restricted Access to Resources’, Factor 9 ‘Restricted Activity’). The confirmatory factor analysis showed a sufficient global fit for both tested models (Model 1: χ² (369, N =1021) = 1443.28, p < .001, RMSEA = .053, SRMR = .055, CFI = .919, TLI = .904; Model 2: χ² (396, N = 1021) = 1948.51, p < .001, RMSEA = .062, SRMR = .074, CFI = .883, TLI = .871). The results of the chi-square difference test indicated a significantly better model-fit of Model 1 compared to Model 2 (∆χ² (27, N = 1021) = 505.23, p < .001). Local goodness of fit indices were comparable for both tested models. We found good factor reliabilities for all factors and moderate to large factor loadings of the items as indicators. In Model 2, four first-order factors showed small factor loadings on the second-order general factor. Conclusion: The Pandemic Stressor Scale showed sufficient factorial validity for the nine measured domains of stressors during the current COVID-19 pandemic.

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