A Generalizability Analysis of the Mobile Phone Addiction Tendency Scale for Chinese College Students.

College students' mobile phone addiction is negatively associated with physical and mental health and academic performance. Many self-made questionnaires are currently being administered to Chinese college students to evaluate the mobile phone addiction tendency. Using the univariate generalizability theory and multivariate generalizability theory, this study investigated the psychometric properties and the internal structure of the Mobile Phone Addiction Tendency Scale (MPATS), the most widely used survey questionnaire assessing the status of Chinese college students' mobile addiction. Data were a sample of 1,253 college students from the southwest of China. Primary analytic approaches included the generalizability design of univariate random measurement mode p × (i:h) and multivariate random measurement mode p˙ × i°. Results showed that the variance component of the participants and the variation related to the participants explained most of the variation of the scale, while the variance component of the items was small, and the generalizability coefficient and dependability index of the scale were 0.88 and 0.85. In the multivariate generalizability analysis, the variance component of the participants and the variation related to the participants accounted for most of the variation of the scale and the variance component of the items was small. The generalizability coefficients of withdrawal symptoms, salience, social comfort, and mood changes were 0.64-0.80, and the dependability indexes were 0.63-0.77. However, the generalizability coefficient and reliability index of universe score were 0.91 and 0.90. In addition, the contribution ratio of the four dimensions to the universe score variance was different from the assignment intention of the initial scale. Recommendations were discussed on the improvement of the test reliability for each dimension.

Trajectories of Self-Rated Health of Chinese Elders: A Piecewise Growth Model Analysis.

This study used piecewise growth modeling to describe the developmental trajectories of self-rated health (SRH) in the elderly and longitudinal associations with activities of daily living (ADL), educational level, economic status, age, and gender. Data were drawn from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), collected over 12 years (from 2002 to 2014) at five waves. A total of 16,064 Chinese elders (57.4% females) were analyzed. Results showed two phases of development for SRH; specifically, the decreasing trend of SRH was from slow (in the first phase, waves 1 to 3) to fast (in the second phase, waves 3 to 5). Descriptives showed that the turning point age was at the age of 83.69 (range = 68 to 116, median age = 82 years old). ADL were positively associated with SRH within each time point (wave of data). Female elders had a higher initial state (i.e., worse) of SRH than did male elders, and poorer economic status was associated with worse initial status of SRH.

Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study.

Associations between anxiety, depression and adolescent Internet addiction have been well documented in the literature; however, few published studies have examined these relationships considering the developmental trajectory courses of adolescent Internet addiction as well as the individual differences over time. Using a sample of 1545 Chinese adolescents and 3 waves of data over six months, we examined the longitudinal associations between anxiety and depression and Internet addiction, considering sex and obesity. We used latent growth curve modeling (LGCM) to examine the overall conditions of Internet addiction, and latent class growth modeling (LCGM) to determine adolescent developmental membership for Internet addiction. Both unconditional and conditional models were performed. Anxiety and depression were analyzed as time-varying variables, and sex and obesity as time-invariants in our conditional models. Overall, there was a linear decline in adolescent Internet addiction over the six months. Anxiety and depression positively predicted adolescent Internet addiction. Two developmental trajectory patterns for Internet addiction were determined (i.e., low/declining, high/declining). Anxiety was associated with adolescent Internet addiction for both groups of adolescents, but depression was associated with Internet addiction only for adolescents who followed a low/declining course of Internet addiction. Boys reported a higher mean score of Internet addiction at the initial status than girls, and boys also had a faster, declining rate of change over the six months than girls. Obesity was not a predictor of Internet addiction. The results spoke to the importance of considering mental health problems and sex in any intervention efforts to reduce adolescent Internet addiction. Limitations of the study were discussed.

A Multivariate Generalizability Theory Approach to College Students' Evaluation of Teaching.

Teachers' teaching level evaluation is an important component in classroom teaching and professional promotion in the institutions of higher learning in China. Many self-made questionnaires are currently being administered to Chinese college students to evaluate teachers' classroom teaching performance. Quite often, due to the absence of strong educational, and psychological measurements and theoretical foundations for these questionnaires, their dependability remains open to doubt. Evaluation time points, the number of students, major type, and curriculum type were examined in relation to college students' perceptions on their teachers' classroom teaching performance, using Teachers' Teaching Level Evaluation Scale for Colleges (TTLES-C). Data were collected in a sample of 556 students at two time points from three Chinese universities and were analyzed using multivariate generalizability theory. Results showed that evaluations at the beginning of the spring semester produced better outcomes than did evaluations at the end of the fall semester, and 20 student evaluators were sufficient to ensure good dependability. Results also revealed that the evaluation dependability of science curriculum appeared higher than that of liberal arts curriculum. Recommendations were discussed on the evaluation criteria and mode.