scholarly journals Stress among university students: factorial structure and measurement invariance of the Italian version of the Effort-Reward Imbalance student questionnaire

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Igor Portoghese ◽  
Maura Galletta ◽  
Fabio Porru ◽  
Alex Burdorf ◽  
Salvatore Sardo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Measurement Invariance ◽  
Academic Stress ◽  
Factorial Structure ◽  
Italian Version ◽  
Cross Sectional Survey ◽  
Confirmatory Factor ◽  
Effort Reward Imbalance ◽  
Reward Imbalance

Abstract Background In the last decade academic stress and its mental health implications amongst university students has become a global topic. The use of valid and theoretically-grounded measures of academic stress in university settings is crucial. The aim of this study was to examine the factorial structure, reliability and measurement invariance of the short student version of the effort-reward imbalance questionnaire (ERI-SQ). Methods A total of 6448 Italian university students participated in an online cross-sectional survey. The factorial structure was investigated using exploratory factor analysis and confirmatory factor analysis. Finally, the measurement invariance of the ERI-SQ was investigated. Results Results from explorative and confirmatory factor analyses showed acceptable fits for the Italian version of the ERI-SQ. A modified version of 12 items showed the best fit to the data confirming the 3-factor model. Moreover, multigroup analyses showed metric invariance across gender and university course (health vs other courses). Conclusions In sum, our results suggest that the ERI-SQ is a valid, reliable and robust instrument for the measurement of stress among Italian university students.

scholarly journals Factorial Composition of the Questionnaire for Eudaimonic Well-Being (Qewb) in Mexican University Students

2016 ◽  
Vol 12 (32) ◽  
pp. 384
Author(s):  
Perla Jannet Jurado Garcia ◽  
Humberto Blanco Vega ◽  
Jesus Enrique Peinado Perez ◽  
Maria del Carmen Zueck Enriquez
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Empirical Support ◽  
Well Being ◽  
Total Sample ◽  
Factorial Invariance ◽  
Factorial Structure ◽  
Confirmatory Factor ◽  
Adequate Reliability ◽  
Factorial Composition

The present study aims to provide empirical support for the factorial division Questionnaire adapted by Schutte et al. (2013) in a sample of women and men Mexicans adults. The total sample was of 1477 Mexican university students; 774 women and 703 men. The age ranged between 18 and 28 years (mean = 20.67 ± 1.90 years). The factorial structure of the questionnaire was analyzed by 1) Exploratory factor analysis and 2) confirmatory factor analysis and factorial invariance. The factors of both subsamples showed adequate reliability and high congruence between pairs of factors, particularly considering the small number of items in each, resulting in a fully confirmatory model. However, the model obtained does not match fully with that proposed by Schutte et al. (2013).

scholarly journals Development and Initial Validation of the Korean Effort and Reward Scale (ERS-K) for Use in Sport Contexts

2021 ◽  
Vol 18 (24) ◽  
pp. 13396
Author(s):  
InKyoung Park ◽  
YoungHo Kim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Reliability Analysis ◽  
Exploratory Factor Analysis ◽  
Reliability And Validity ◽  
Analysis Data ◽  
Measurement Tool ◽  
Confirmatory Factor ◽  
Effort Reward Imbalance ◽  
Reward Imbalance

Background: Applying Siegrist’s (1996) effort-reward imbalance model to athletes, the current study aimed to develop a measure that can evaluate athletes’ effort and reward, and verify its reliability and validity. Methods: The survey was conducted on 530 athletes from universities in Seoul, South Korea. Among the collected data, 276 datasets were used for exploratory factor analysis, 200 for confirmatory factor analysis, and 30 for test-retest reliability analysis; data from surveys that were incomplete or incorrectly answered were excluded. The initial questionnaire was completed based on prior research, expert meetings, and evaluation by the evaluation group. The collected data were subjected to question analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and criterion-related validity analysis. Result: Four factors of the construct of effort were extracted: training strengthening efforts, interpersonal efforts, nutrition management efforts, and cognitive psychology strengthening efforts. Additionally, three factors of the construct of reward were extracted: future stability, social support, and positive growth. Thus. the effort measurement tool was finalized with 14 questions from four factors, and the reward measurement tool was finalized with 14 questions from three factors, with all items rated on a 5-point Likert scale. Conclusions: Siegrist’s efforts to measure job stress and athletes perceived efforts differed somewhat, but were found to be consistent with those reported for Australian occupational jockeys. In addition, athletes’ perceived rewards had similar results to those for Siegrist and Kathleen et al. studies. Based on this study, subsequent studies can more effectively determine whether the effort-reward imbalance model is applicable to athletes.

Balancing Effort and Rewards at University: Implications for Physical Health, Mental Health, and Academic Outcomes

2019 ◽  
Vol 123 (4) ◽  
pp. 1240-1259 ◽  
Author(s):  
Brad Hodge ◽  
Brad Wright ◽  
Pauleen Bennett
Keyword(s):  
University Students ◽  
Physical Health ◽  
Personal Characteristic ◽  
Academic Productivity ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Important Relationship ◽  
Increased Risk ◽  
Effort Reward Imbalance ◽  
Reward Imbalance

Background The effort–reward imbalance model suggests that, when the efforts required within the workplace are disproportionately large in comparison to the rewards resulting from those efforts, there is an increased risk of stress-related health issues. The model posits that higher levels of “overcommitment,” in addition to a high effort–reward imbalance ratio, magnifies this risk of ill-health. While work has been conducted to assess the validity of this model within the school setting, research in the higher education sector is limited. Objectives This study explored the validity of the effort–reward imbalance model for explaining burnout, poor health, and academic productivity among university students. Design and Methods This study utilized a cross-sectional survey of Australian university students ( n = 395) from a range of universities. Results An imbalance of effort and reward was associated with poorer physical health, increased burnout, and reduced productivity. Effort–reward imbalance mediated a relationship between overcommitment and burnout; those high in overcommitment were more likely to experience an imbalance of effort and reward at university. Conclusion The relationships between effort–reward imbalance, health, burnout, and academic productivity support the generalizability of this model to the university setting. In addition, the personal characteristic of overcommitment also appears to have an important relationship with burnout.

scholarly journals Psychometric Testing of the Effort-Reward Imbalance–Short Form Among Blue-Collar Workers Employed in Small Industrial Settings in Korea

2018 ◽  
Vol 66 (12) ◽  
pp. 597-605 ◽  
Author(s):  
Won Ju Hwang ◽  
Oi Saeng Hong ◽  
Dae Ryong Kang
Keyword(s):  
Factor Analysis ◽  
Short Form ◽  
Blue Collar ◽  
Industrial Workers ◽  
Work Related ◽  
Blue Collar Workers ◽  
Confirmatory Factor ◽  
Effort Reward Imbalance ◽  
Reward Imbalance ◽  
Related Stress

The Effort Reward Imbalance tool is a measure of psychosocial work characteristics used to identify work-related stress. The purpose of this study was to assess the reliability and validity of the Korean version of the effort-reward imbalance–short form (ERI-SF) in industrial workers. The Korean version of ERI-SF was tested among 250 blue-collar workers. The reliability, content validity, and construct validity with confirmatory factor analysis, as well as interaction terms were analyzed. Reliability assessed by Cronbach’s alpha coefficients were satisfactory for all three subscales: effort 0.75, reward 0.74, and over-commitment 0.72. Confirmatory factor analysis showed an acceptable model fit with the three component theoretical structure (root mean square error of approximation = 0.07, comparative fit index = 0.84). Content validity was assessed with respect to a measure of perceived health. In addition, a significant synergistic interaction of ERI and over-commitment on job strain was found. In conclusion, the ERI-SF demonstrated good psychometric properties with Korean industrial workers. The ERI-SF is ideal for examining work-related stress in the workplace by occupational health professionals. This shorter version makes it easier to administer and score in the occupational health setting.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

scholarly journals Multi-group confirmatory factor analysis of the life attitude profile in Chilean adolescents

2021 ◽  
Author(s):  
Patricia Imbarack Dagach ◽  
Cristian Brotfeld ◽  
Joaquín García-Alandete
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Meaning In Life ◽  
Factorial Structure ◽  
Leading Role ◽  
Structure Reliability ◽  
Confirmatory Factor ◽  
The World ◽  
Assessment Bias ◽  
Acceptable Internal Consistency

AbstractAdolescents are challenged to take decisions about issues associated to the vital circle and the comprehension of the world. Meaning in life (MiL) takes a leading role in adolescence. Reker and Peacock developed the Life Attitude Profile (LAP) for assessing MiL, and Erci developed a revised version (LAP-R). The main objective of this study was to analyze the factorial structure, reliability, invariance across gender, and absence/presence of assessment bias of a Spanish adaptation of the Turkish LAP-R among 2138 Chilean adolescents (1205 boys, 912 girls, and 8 others), who were studying in 3rd and 4th year. The LAP-R showed an acceptable structural validity, acceptable internal consistency, and invariance across gender. MiL as a significant domain of human experience in adolescents.

Psychometric Properties of the Modified Social Environment Questionnaire in Chinese Older Adults

2018 ◽  
Vol 26 (4) ◽  
pp. 530-536 ◽  
Author(s):  
Ka-Man Leung ◽  
Pak-Kwong Chung ◽  
Tin-Lok Yuen ◽  
Jing Dong Liu ◽  
Donggen Wang
Keyword(s):  
Older Adults ◽  
Factor Analysis ◽  
Hong Kong ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Social Environment ◽  
Convergent Validity ◽  
Confirmatory Factor ◽  
Test Retest Reliability

This study evaluated the psychometric properties of a Chinese version of the 24-item Social Environment Questionnaire (SEQ-C). Confirmatory factor analysis was used to examine the factor validity and measurement invariance (Purpose 1) of the SEQ-C in 453 older adults in Hong Kong. Convergent validity (Purpose 2) and test–retest reliability (Purpose 3) were also measured. The results of the confirmatory factor analysis and measurement invariance supported the four-factor structure (representing companionship, encouragement, neighborhood social cohesion, and role models) of the SEQ-C, in a 15-item model that closely fitted the data. The SEQ-C was also found to have acceptable to satisfactory internal consistency, test–retest reliability, composite reliability, and moderate convergent validity in correlating perceived social support. This study showed that the SEQ-C is a suitable means of measuring the social environments of older adults in Hong Kong.

Sign in / Sign up

Export Citation Format

Share Document