scholarly journals Civic Intentions and Actions: Exploring Civic Engagement among College Students in Mainland China

2018 ◽  
Vol 6 (3) ◽  
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Civic Engagement ◽  
Measurement Invariance ◽  
Southern China ◽  
Mainland China ◽  
Measurement Model ◽  
Second Order ◽  
Future Research ◽  
Civic Attitudes

For the study discussed in this article, the authors developed a survey instrument to assess civic engagement among college students in China. Derived from focus-group interviews and extant literature on civic engagement, the survey was administered to 587 students from three universities in Southern China. Exploratory factor analysis was conducted on a randomly split-half sample, and a subsequent confirmatory factor analysis was conducted on the other split-half sample to evaluate measurement structure and measurement invariance of the survey. A total of 22 items were included in the final measurement model. The authors identified five first-order factors from the survey (i.e., helping others, community service, acting on social problems, civic salience, and civic responsibilities), which loaded on two second-order factors (i.e., civic actions and civic attitudes). The authors also tested measurement invariance across male and female participants in the sample. Implications of the second-order factor structures and measurement invariance in future research on civic engagement in China are discussed.

Development and initial validation of the Subjective Academic Wellbeing Measure: A new tool of youth wellbeing in school

2021 ◽  
Vol 6 (1) ◽  
pp. 3-11
Author(s):  
Gökmen Arslan ◽  
Murat Yıldırım ◽  
Silvia Majercakova Albertova
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Mental Health Problems ◽  
School Context ◽  
Measurement Model ◽  
Academic Functioning ◽  
Self Report ◽  
Future Research ◽  
Internal Reliability ◽  
Gender Groups

The purpose of the current study was to investigate the preliminary development and validation of the Subjective Academic Wellbeing Measure (SAWM), which is a six-item self-report rating measure intended for use as a screening tool to assess the positive academic functioning of young people within the elementary and high school context. Exploratory factor analysis was performed with Sample 1 (N= 161), indicating that the SAWM was characterized by a unidimensional measurement model and had strong factor loadings. Results from confirmatory factor analysis, which was carried out with Sample 2 (N= 199), confirmed the measurement model by yielding good data-model fit statistics that were characterized by strong latent construct and internal reliability estimates. Further analyses showed that the scale had good convergent validity considering scores from several self-reported scales of student mental health problems and positive school functioning. Further analyses also showed that configural, metric, and scalar measurement invariance were observed across gender groups. These results provide initial evidence suggesting that the SAWM is a reliable and valid measure that can be used to assess the positive academic functioning of students within the school context. Implications are discussed, and some suggestions are provided for future research and practice

Gratification, Loneliness, Leisure Boredom, and Self-Esteem as Predictors of SNS-Game Addiction and Usage Pattern Among Chinese College Students

2019 ◽  
pp. 613-629
Author(s):  
Selina Xingyuan Zhou ◽  
Louis Leung
Keyword(s):  
College Students ◽  
Mainland China ◽  
Self Esteem ◽  
Future Research ◽  
Usage Pattern ◽  
University Administrators ◽  
Chinese College Students ◽  
Game Addiction ◽  
Leisure Boredom ◽  
Sns Games

This study investigated the relationships between perceived social network sites (SNS)-game addiction and gratifications, loneliness, leisure boredom, self-esteem, and usage of SNS-games. Data were gathered from a sample of 342 college students aged 18 to 22 in mainland China. Factor analysis yielded a three-factor gratifications structure (achievement, inclusion, and entertainment) based on the 11 motives for playing an SNS game obtained in a focus group. As hypothesized, loneliness and leisure boredom were found to be significant predictors of the level of SNS-game use and likelihood of addiction. SNS-game addicts tended to be male, lonely, often leisurely bored, and motivated by winning virtual money and gaining a sense of achievement. However, self-esteem was not a significant predictor. Implications for university administrators and suggestions for future research were discussed.

Investigating the Measurement of Consumer Ecological Behaviour, Environmental Knowledge, Healthy Food, and Healthy Way of Life

2014 ◽  
Vol 5 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Norazah Mohd Suki
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Measurement Model ◽  
Healthy Food ◽  
Environmental Knowledge ◽  
Equation Modeling ◽  
Future Research ◽  
Computer Programme ◽  
Way Of Life ◽  
Ecological Behaviour

The objective of this research is to investigate the measurement of consumer ecological behaviour, environmental knowledge, healthy food, and healthy way of life that is derived from the literature and survey. Correlations between environmental knowledge, healthy food, and healthy way of life with consumer ecological behaviour are also investigated. Statistical techniques were used to analyse the data using descriptive and exploratory factor analysis (EFA) with the computer programme Statistical Package for Social Sciences (SPSS) version 21. The latter was performed using principal component analysis and varimax rotation with the objective to test the underlying factor structure of the data. Next, confirmatory factor analysis (CFA) was executed via structural equation modeling (SEM) technique using analysis of moment structures (AMOS) computer programme version 21 in order to confirm the measurement model. CFA results show that the correlations between environmental knowledge, healthy way of life, and healthy food with consumer ecological behaviour were significant and supported, respectively. This study contributes to the extant literature on consumer ecological behaviour by developing a robust measure. Results offer a clearer perspective for companies to identify consumer ecological behaviour for better market segmentation, targeting and positioning of green products that are not harmful to the environment and could promote demands. The research implications are further explicated and the directions for future research are also elucidated.

Dimensions of Profanity

1974 ◽  
Vol 35 (1) ◽  
pp. 387-391 ◽  
Author(s):  
Edward A. Mabry
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Language Use ◽  
Future Research ◽  
Research Needs ◽  
Five Dimensions ◽  
Personal Use

The purpose of the study was to investigate the dimensions of profane language use by 283 college students. Responses to a questionnaire on personal use of “sexual vernacular” were submitted to factor analysis. Results of the factor analysis yielded five dimensions of profane language based upon predispositions to use such words. The five dimensions were labeled: Abrasive, Technical, Abrasive-Expletive, Latent, and Euphemistic. Results are discussed in terms of past and future research needs.

scholarly journals Examining Self-Regulated Learning Strategy Model: A Measurement Invariance Analysis of MSLQ-CAL among College Students in China

2021 ◽  
Vol 13 (18) ◽  
pp. 10133
Author(s):  
Haitao Guo ◽  
Fuhui Tong ◽  
Zhuoying Wang ◽  
Shifang Tang ◽  
Myeongsun Yoon ◽  
...  
Keyword(s):  
College Students ◽  
Adult Learners ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Learning Strategy ◽  
Future Research ◽  
Self Regulated Learning ◽  
Chinese Adult ◽  
Regulated Learning ◽  
Gender Groups

This study examined psychometric properties and measurement invariance of the Motivated Strategies for Learning Questionnaire for Chinese adult learners, learning strategy scale (MSLQ-CAL-LS). Data were collected from 2499 college students from 15 Chinese universities. Results from factor analysis suggested satisfactory psychometric properties of MSLQ-CAL-LS. We further identified strong evidence to support the configural, metric, scalar and strict invariance across the gender groups, confirming the appropriate use of MSLQ-CAL-LS that can accurately capture the construct of self-regulated learning (SRL) strategies among both female and male Chinese adult learners. This study provides one step forward to measure SRL outside the Western context. Recommendations for future research are discussed.

Use of SNSs, Political Efficacy, and Civic Engagement among Chinese College Students

2014 ◽  
Vol 4 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Qian Xu ◽  
Lingling Qi
Keyword(s):  
College Students ◽  
Civic Engagement ◽  
Information Seeking ◽  
Mainland China ◽  
Political Efficacy ◽  
Network Size ◽  
Chinese Society ◽  
Political Activities ◽  
Chinese College Students ◽  
Political Voice

Almost half of China's 564 million netizens are using social networking websites (SNSs). Based on the growing popularity of native SNSs, this study aims to examine whether the younger generation feels more actively engaged in civic and political activities. A survey of 471 Chinese college students in Mainland China explored the effects of SNS use on political efficacy and civic engagement. Among the four identified gratifications of SNS use, social connection significantly predicted internal political efficacy and political voice. Entertainment negatively predicted both external political efficacy and political voice, while information seeking had no influence on either political efficacy or civic engagement. SNS network size emerged as a positive predictor of civic engagement, including electoral activities and political voice. Intensity of SNS use had no significant effect on any of the political outcomes. The results of the study shed light on the role of SNSs in the democratization of Chinese society.

Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
G.S. Sureshchandar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Industry 4.0 ◽  
Research Work ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Future Research ◽  
Content Type ◽  
Formidable Challenge ◽  
Confirmatory Factor

PurposeThe disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.Design/methodology/approachThe research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.FindingsThe proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.Research limitations/implicationsImplications for future research are provided which would help to further explore the nascent field of Quality 4.0.Practical implicationsThis research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.Originality/valueThe present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.

Employer brand scale development and validation: a second-order factor approach

2017 ◽  
Vol 46 (2) ◽  
pp. 389-409 ◽  
Author(s):  
Karnica Tanwar ◽  
Asha Prasad
Keyword(s):  
Factor Analysis ◽  
Qualitative Interviews ◽  
Measurement Model ◽  
Second Order ◽  
Content Type ◽  
Five Dimensions ◽  
Work Atmosphere ◽  
Healthy Work ◽  
Order Factor ◽  
Employer Brand

Purpose The purpose of this paper is to conceptualise, develop and validate a scale to measure the employer brand from the perspective of existing employees. Design/methodology/approach The methodology entailed the compilation of a literature review and conduction of qualitative interviews to generate items. Five employer brand dimensions have been derived through exploratory factor analysis and further validated through confirmatory factor analysis by using a separate data of 313 employees. Also, the employer brand has been specified as a second-order factor that is determined by five first-order factors. Findings A final 23-item EB scale covering five dimensions of the employer brand has been developed. The dimensions identified are: a healthy work atmosphere, training and development, work-life balance, ethics and corporate social responsibility, and compensation and benefits. Also, the higher order measurement model suggests that employer brand is most influenced by the “healthy work atmosphere” dimension. These dimensions reflect the perceptions of existing employees regarding their organisation. The scale is found to be psychometrically sound for measuring the employer brand. Practical implications The scale is useful for both researchers and practitioners. A deeper insight into the dimensions may help managers to identify their impact on organisational outcomes like employee satisfaction, employee retention, commitment and productivity. Also, organisations can measure the perceptions of employees for identifying improvement gaps and developing effective attraction and retention strategies. The scale also provides researchers with a sought-after conceptualisation of employer brand. Originality/value The authors believe that the study is the first of its kind wherein the employer brand has been modelled as a second-order factor from the perspective of the existing employees.

scholarly journals Performance capacity of the health system workforce towards integrated leading-managing-and-governing practices in Ethiopia: with special reference to the application of factor analysis and ordinal logistic regression

2019 ◽  
Author(s):  
Yeshambel Agumas Ambelie ◽  
Getu Degu Alene ◽  
Damen Hailemariam Gebrekiros
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Health System ◽  
Building Blocks ◽  
Measurement Model ◽  
Northwest Ethiopia ◽  
Ordinal Logistic Regression ◽  
Outcome Variable ◽  
Future Research ◽  
Performance Capacity

Abstract Background Observing over-led and under-managed, over-managed and under-governed, and even out of these health organizations remains a common phenomenon in low and middle-income countries including Ethiopia. To balance these discrepancies, leadership and governance is regarded as the locus of all other critical health system building blocks. Thus, the current study looks at the performance capacity of the health system workforce towards integrated leading-managing-and-governing practices and its predictors in Ethiopia. Methods Eight-hundred-thirteen health system workforce were participated in this study. These were selected from 32 health care organizations located in northwest Ethiopia. Data were collected using a multi-item questionnaire. These data were fitted to factor analysis and ordinal logistic regression models. Factor analysis was used to develop scientifically reliable and empirically scalable measurement model. Once this model was tested for reliability and validity, the performance capacity of the health system workforce towards integrated leading-managing-and-governing practices (the outcome variable) was computed and labeled. Finally, ordinal logistic regression was conducted to model relationships between the outcome variable and its predictors using probability value and odds ratio. Results From 813 participants who rated the questionnaire, 396 (48.7%) and 582 (71.6%) were females and service owners respectively. Using these ratings, four factors were extracted. These factors together with items rated and error variances provided a four-factor measurement model. This model had estimates above .5, composite reliability above .7 and average variance extracted above .5. Using items in this model, the outcome variable was labeled as low (41.3%), moderate (42.7%), high (13.5%) and very high (2.5%). Sex and responsibility were among significantly associated predictors. Conclusions Empowering the health system workforce towards integrated leading-managing-and-governing practices using scientifically reliable and empirically scalable model is important, particularly in resource-limited settings. The policies and strategies developed in this regard should give due attention to females and service owners. The current results could provide foundations for training and future research. Trial registration The current study was part of a PhD dissertation research, which has been registered at clinical trials.gov since 9 July 2018 with identifiers: NCT03639961.

scholarly journals Health system workforce’s performance capacity towards integrated leading, managing and governing practices: with special reference to the application of factor analysis and ordinal logistic regression

2019 ◽  
Author(s):  
Yeshambel Agumas Ambelie ◽  
Getu Degu Alene ◽  
Damen Hailemariam Gebrekiros
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Health System ◽  
Measurement Model ◽  
Ordinal Logistic Regression ◽  
Future Research ◽  
Middle Income ◽  
Performance Capacity ◽  
Logistic Regression Models ◽  
Average Variance

Abstract AbstractObserving over-led and under-managed, over-managed and under-governed, and even out of these health organizations remains a common phenomenon in low and middle-income countries. The current study looks at the health system workforce’s performance capacity towards integrated leading, managing, and governing practices and its predictors in Ethiopia. Eight hundred thirteen health facility employees completed a multi-item questionnaire. The data were fitted to factor analysis and ordinal logistic regression models. The factor analysis was employed to develop a scientifically reliable and empirically scalable measurement model. The model was assembled from items rated, factors extracted and error variances observed. Besides, the health system workforce’s performance capacity was computed and labeled. Moreover, the ordinal logistic regression was conducted to identify predictors of the performance capacity. The outputs of factor analysis provided a four-factor measurement model. This model had acceptable estimates, composite reliability, and average variance extracted. Eighty-four percent of the participants had reported low (41.3%) and moderate (42.7%) performance capacity towards integrated leading, managing, and governing practices. Sex and responsibility were among significantly associated predictors. Empowering the health system workforce towards integrated leading, managing and governing practices using a scientifically reliable and empirically scalable model is important, particularly in resource-limited settings. In this regard, the policies and strategies should give due attention to females and service owners. The current results could provide a foundation for training and future research.

Sign in / Sign up

Export Citation Format

Share Document