Dataset Information

The dataset for the stages of concerns of public-school teachers towards the use of e-learning platform: Malaysian context.

ABSTRACT: This dataset contains demographic information of 355 respondents and a validated 32-items Stages of Concerns Questionnaire (SoCQ). The SoCQ questionnaire was developed based on the Concerns-Based Adoption Model (CBAM) which measures seven stages of concerns as the variables. They are unconcerned, informational, personal, management, consequence, collaboration and refocusing. The data was firstly tested with normality, followed by validity checking using confirmatory factor analysis (CFA). It is useful for policy makers and stakeholders to have a thorough understanding about teachers' concerns on the use of the e-learning platform and thus, design suitable interventions to smoothen the adoption process of using the technology. This set of data could be used in a multi-racial developing country for more complex analyses.

SUBMITTER: He YZ

PROVIDER: S-EPMC7038033 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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The dataset for the stages of concerns of public-school teachers towards the use of e-learning platform: Malaysian context.

He Yong Zheng YZ Yusop Farrah Dina FD

Data in brief 20200204

This dataset contains demographic information of 355 respondents and a validated 32-items Stages of Concerns Questionnaire (SoCQ). The SoCQ questionnaire was developed based on the Concerns-Based Adoption Model (CBAM) which measures seven stages of concerns as the variables. They are <i>unconcerned, informational, personal, management, consequence, collaboration</i> and <i>refocusing</i>. The data was firstly tested with normality, followed by validity checking using confirmatory factor analysis ...[more]

PMID: 32123703

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Project description:This study investigated whether school closures and health-related uncertainties in the early phases of the COVID-19 pandemic posed risk factors for adolescents' mental health and whether perceived social support by parents, teachers, and friends functioned as protective factors. In particular, we argued that perceived social support would buffer negative associations between educational and health concerns and mental health. Based on a person-centered approach, we first examined resilience profiles. These profiles reflect configurations regarding the levels of these risk and protective factors and levels of mental health. Second, we analyzed whether these risk and protective factors predicted adolescents' mental health differently by using a variable-centered approach. The sample consisted of 1'562 adolescents (Mage = 16.18, SD = 1.48, range = 14-20 years; 72% females) in lower and higher secondary education from three regions: German-speaking part of Switzerland, N = 486; Italian-speaking part of Switzerland, N = 760; and Northern Italy N = 316. Results from the person-centered approach revealed three latent profiles characterized by low (19%), average (47%), or high resilience (34%). Lower resilience was associated with higher educational concerns, lower perceived social support, and lower mental health, while high resilience was characterized by lower concerns, higher support, and higher mental health. Importantly, educational concerns varied more between profiles than health concerns, and perceived teacher and family support varied more than perceived friend support. Corroborating these findings, the variable-centered approach (i.e., a path analysis) revealed that educational concerns were a stronger predictor than health concerns and pointed to a higher relative importance of perceived family support for adolescents' mental health relative to perceived teacher and friend support. Taken together, the findings suggest that adolescents' educational concerns and perceived family support, respectively, were stronger risk and protective factors for their mental health during school closures related to the COVID-19 pandemic. Finally, adolescents from regions being more exposed to the COVID-19 pandemic, namely, Italian-speaking part of Switzerland and Northern Italy, were more likely classified in the low or the average rather than in the high resilience profile compared to students from the region with lower exposure, that is, the German-speaking part of Switzerland.

Dataset Information

The dataset for the stages of concerns of public-school teachers towards the use of e-learning platform: Malaysian context.

Publications

The dataset for the stages of concerns of public-school teachers towards the use of e-learning platform: Malaysian context.

Similar Datasets

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