Cross-Cultural Applicability of Organizational Stressor Indicator for Sport Performers Questionnaire in Ghana Using Structural Equation Modeling Approach

The purpose of this study was to examine the cross-cultural validity of the Organizational Stressor Indicator for Sport Performers (OSI-SP) scale by investigating its psychometric properties with Ghanaian footballers. The study particularly sought to assess in the Ghanaian context, 1, the convergence validity and reliability of the OSI-SP scale, 2, the discriminant validity of the OSI-SP scale to understand the applicability of its factor structure, and 3, whether the OSI-SP hypothesized model fits the data collected within the study context. The intensity aspect of the OSI-SP questionnaire was administered to 424 Ghana Premier League (GPL) male footballers who took part in the 2020/2021 season. Quality control strategies were put in place to ensure consistency across interpreters and as well improve the validity of the data. The results from a multi-factor first-order confirmatory factor analysis showed some level of convergence validity of the OSI-SP scale in the Ghanaian context using football players. Out of the 23 items on the original scale, 20 met the factor loadings criterion. In assessing the discriminant validity of the OSI-SP scale using Heterotrait-monotrait (HTMT), 50% of the correlation ratios met the criterion for the original 23-item instrument. Comparing the new model (with the 20-items) with the original model (with 23-items) using the Akaike Information Criterion (AIC) value, the model fit indices for the modified model (20-items) appeared better than the original model with 23-items. Generally, there was minimal support for the applicability of the OSI-SP instrument across the sample of Ghanaian footballers. The implications of these findings are discussed in detail.

Exercise and Attitude for Exoskeletons: The Mediation of Technology Anxiety and Perceived Usefulness

The present study aimed to examine the effects of regular exercise on attitude towards using exoskeletons and the mediating effects of technology anxiety and perceived usefulness among Korean older adults. Data was collected through online recruitment in February 2021. The sample comprised 310 people (Age: 65-89, M=70.18, SD=4.58) who did not report dementia. The dependent variable was the attitude towards using technology, especially lower limb exoskeleton robots for exercise. The independent variable, regular exercise, was coded as a binary variable. The mediating variables were technology anxiety and perceived usefulness measured by the sum of three questions about exoskeleton robots, respectively. Gender, age, education level, and household income were included as control variables. The mediating effect was estimated by serial path analysis and bootstrapping (model fit indices: χ2=18.400, df=8, p<0.05, RMSEA=0.065, CFI=0.973, TLI=0.940, SRMR=0.044). Results showed the total effect of regular exercise was significant (B=1.253, p<0.01) and the total indirect effect of it was significant(B=1.540, p<0.001). There was no significant direct effect of regular exercise on the attitude towards using technology. The association between regular exercise and the attitude of using technology was completely mediated by perceived usefulness (B=1.439, CI=0.569-2.358, p<.01). Although technology anxiety had no mediating effect alone, the serial mediating effect via the path from technology anxiety to perceived usefulness was significant (B=0.119, CI=0.004-0.332, p<.05). This study will be the first empirical study to examine the effects of health habits by expanding the senior technology acceptance model for older adults in Korea.

Test-level and Item-level Model Fit Comparison of General vs. Specific Diagnostic Classification Models: A Case of True DCM

The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO). To do so, the response data to the grammar and vocabulary sections of a General English Achievement Test, designed specifically for cognitive diagnostic purposes from scratch, was analyzed. The results of the test-level-model fit values obtained strong evidence in supporting the G-DINA and LLM models possessing the best model fit. In addition, the ACDM and RRUM were almost very identical to that of the G-DINA. The value indices of the DINO and DINA models were very close to each other but larger than those of the G-DINA and LLM. The model fit was also investigated at the item level, and the results revealed that model selection should be performed at the item level rather than the test level, and most of the specific models might perform well for the test. The findings of this study suggested that the relationships among the attributes of grammar and vocabulary are not ‘either-or’ compensatory or non-compensatory but a combination of both.

Dynamic Fit Index Cutoffs for One-Factor Models

Assessing unidimensionality of a scale is a frequent interest in behavioral research. Often, this is done with approximate model fit indices in a factor analysis framework such as RMSEA, CFI, or SRMR. These fit indices are continuous measures, so values indicating acceptable fit are up to interpretation. Cutoffs suggested by Hu and Bentler (1999) are a common guideline used in empirical research. However, these cutoffs were derived with intent to detect omitted cross-loadings or omitted factor covariances in three-factor models. These types of misspecifications cannot exist in one-factor models, so the appropriateness of using these guidelines in one-factor models is uncertain. This paper uses a simulation study to address whether traditional fit index cutoffs are sensitive to the types of misspecifications that can occur in one-factor models. The results showed that traditional cutoffs have very poor sensitivity to misspecification in one-factor models and that the traditional cutoffs generalize poorly to one-factor contexts. As an alternative, we investigate the accuracy and stability of the recently introduced dynamic fit cutoff approach for creating fit index cutoffs for one-factor models. Simulation results indicated excellent performance of dynamic fit index cutoffs to classify correct or misspecified one-factor models and that dynamic fit index cutoffs are a promising approach for more accurate assessment of unidimensionality.

Media literacy and the credibility evaluation of social media information: students’ use of Instagram, WhatsApp and Telegram

Purpose Due to their unique characteristics in terms of information type, quantity and exchange, social media are regarded as a challenging information resource that makes credibility evaluation a more complicated behavior. This study aims to investigate the role of media literacy in the credibility evaluation of social media information among students as a major community of user groups. Design/methodology/approach The study tried to explore whether or not the three popular platforms of WhatsApp, Instagram and Telegram with their unique features, show a significant difference in the credibility evaluation among a sample of 150 students at the Shahid Beheshti University, Tehran, Iran. By administrating two validated measures related to the two main variables, data gathered were analyzed through the partial least-squares (PLS) method using the software SmartPLS. Findings Convergent and discriminant validities, as well as model fit indices, showed the reliability of the conceptual model at the 99% confidence level. Moreover, path analysis demonstrated that media literacy could affect all components of the credibility evaluation, except for currency evaluation. Overall, media literacy had less impact on evaluating information sources and information credibility compared to information presentation. Further analysis showed no significant difference in credibility evaluation with respect to the application used. Originality/value There appears a crucial need for the students to be skilled more in evaluating content and source without which their decision-making might be negatively affected.

Understanding and Assessing Construct Validity of the Social Provisions Scale: Implications for Youth Development

Confirmatory factor analysis using structural equation modeling was used to measure the construct validity of the increasingly utilized social provisions scale. This scale was used to measure social support sources and types among a sample of 421 youth from 4 Pennsylvania schools. The youth were surveyed to determine their levels of social support and the relationship of social support to community and youth development capacities. Research findings indicated an acceptable model fit indices for the sources of the social support model. A lower fit for the types of social support was found. Overall, the analysis further verified the reliability and validity of the social provisions scale. With this information, youth practitioners can better measure and assess social support and use the social provisions scale to tailor youth development programs to individual and group needs.

Measuring Entrepreneurial Orientation in Developing Economies: Scale Development and Validation

Entrepreneurial orientation (EO) refers to entrepreneurial activities of established and existing firms. It is different from individual entrepreneurial orientation (Popov et al., 2019, Education + Training, vol. 61, pp. 65–78). EO refers to the processes, practices, and decision-making activities that lead to new venture creation (Walter et al., 2006, Journal of Business Venturing, vol. 21, pp. 541–567). The EO scale by Lumpkin and Dess (1996, Academy of Management Review, vol. 21, pp. 135–172) consists of innovativeness, proactiveness, risk-taking, competitive aggressiveness, and autonomy. This scale is widely used in literature with major drawback of it being developed and evaluated in a developed economy (the USA) on large corporations. Very little literature is available with reference to validation of EO scales in developing economies, particularly India where firms are generally small. New Comprehensive Entrepreneurial Orientation Scale (CENTORES) has been developed and validated by adding additional dimension of strategic flexibility, which is the novelty of the present study. Data were collected using a survey instrument comprising of 19 items. The scientific scale development procedure as suggested by Schwab, (1980) was followed, first an exploratory factor analysis (EFA) was done to explore factors and later confirmatory factor analysis (CFA) was done to confirm factors (using SPSS and Amos). Six stable factors emerged from EFA which were subsequently confirmed through CFA. The measurement model confirmed the factors with good model fit indices as suggested by Hair et al. (2014). The model has CMIN/df = 2.237, CFI = 0.917, GFI = 0.928, NFI = 0.882, and RMSEA = 0.052

Clarifying the Implicit Assumptions of Two-Wave Mediation Models via the Latent Change Score Specification: An Evaluation of Model Fit Indices

Statistical mediation analysis is used to investigate mechanisms through which a randomized intervention causally affects an outcome variable. Mediation analysis is often carried out in a pretest-posttest control group design because it is a common choice for evaluating experimental manipulations in the behavioral and social sciences. There are four different two-wave (i.e., pretest-posttest) mediation models that can be estimated using either linear regression or a Latent Change Score (LCS) specification in Structural Equation Modeling: Analysis of Covariance, difference and residualized change scores, and a cross-sectional model. Linear regression modeling and the LCS specification of the two-wave mediation models provide identical mediated effect estimates but the two modeling approaches differ in their assumptions of model fit. Linear regression modeling assumes each of the four two-wave mediation models fit the data perfectly whereas the LCS specification allows researchers to evaluate the model constraints implied by the difference score, residualized change score, and cross-sectional models via model fit indices. Therefore, the purpose of this paper is to provide a conceptual and statistical comparison of two-wave mediation models. Models were compared on the assumptions they make about time-lags and cross-lagged effects as well as statistically using both standard measures of model fit (χ2, RMSEA, and CFI) and newly proposed T-size measures of model fit for the two-wave mediation models. Overall, the LCS specification makes clear the assumptions that are often implicitly made when fitting two-wave mediation models with regression. In a Monte Carlo simulation, the standard model fit indices and newly proposed T-size measures of model fit generally correctly identified the best fitting two-wave mediation model.

Assessing psychological well-being measures among South African adults in the birth to twenty plus cohort

Mental health and substance use disorders account for a significant proportion of disability worldwide. In many developing countries like South Africa, mental healthcare services are often inadequate, forcing people to find their own way of coping with distress and give meaning to their experiences. Therefore, this situation necessitates the conceptualisation and characterisation of the quality-of-life indicators, as well as psychosocial strategies to promote mental well-being. The objectives of this study were to assess the psychometric properties of psychological well-being (PWB) measures in the context of urban Soweto. Data were collected from participants in the Birth to Twenty Plus cohort (n = 1327), in 2018–2019. Exploratory and Confirmatory Factor Analyses conducted for measures of hope, faith, social support, general self-efficacy, and life satisfaction were taken from the National Institutes of Health (NIH) Toolbox Emotion Battery. Cronbach’s alpha was used to determine internal consistencies; discriminant validity was assessed using Pearson correlations. Test-retest reliability analysis was conducted on a subset of participants at three time points which were at least 2 months apart. Overall, the measures of PWB were characterised as having unidimensional factor structures, good model fit indices, high internal consistency and reliability to the paragraph. This study demonstrated that the PWB measures evaluated here are psychometrically sound, and suitable to be used in the South African context.

Assessing the Structural Characteristics of the Japanese Version of the Adult Social Care Outcomes Toolkit for Carers

Due to the absence of standardized Quality of Life (QoL) measures for informal family caregivers of recipients of long-term care (LTC) in Japan, translation and cross-cultural adapted LTC outcome measures are needed for research and evaluation. In this study, we assessed the validity and reliability of the factor structure and response system of the translated and cross-culturally adapted Japanese version of the Adult Social Care Outcomes Toolkit for Carer (J-ASCOT-Carer). Participants were 872 informal family caregivers of adults who lived at home and required LTC services. Almost half (46%) of the participants were between 50 and 59 years old, 85% were employed, and 69% resided with their care recipients. We used the combined factor analysis and item response theory approach. Model fit indices included factor loading, path coefficients, root mean square error of approximation, standardized root mean square residual, and comparative fit index. This study confirmed the one factor structure that was identified in the original English version of the ASCOT-Carer. The values for the model fit indices indicated a good fit. Moreover, the validity and reliability of the response system were confirmed. Therefore, the J-ASCOT-Carer is a reliable assessment instrument to measure QoL of Japanese caregivers of adults requiring LTC.