How does the double-track human resource management model contribute to job burnout and mental health among Chinese government departments? A Chinese police study.

Objectives: This study aims to investigate the contribution of the double-track human resource management model to the job performance and mental health of frontline police within China's public security organs.

Methodology: An individual-centered approach, latent profile analysis (LPA), was utilized in this study, which used cluster sampling to survey all police of all 118 frontline police stations in an economically underdeveloped area of China and 839 personnel were selected for the analysis. This method allowed for a detailed examination of the contribution of the double-track system to job performance and mental health.

The Mediating Roles of Future Work Self and Hope on the Association Between Perceived Social Support and Depressive Symptoms Among Chinese Vocational School Students: A Cross-Sectional Study.

Purpose: Depressive symptoms are serious mental health problems, which are harmful for adolescents' physical and psychological development. Limited studies have focused on depressive symptoms of vocational high school students, who are more susceptible to mental health problems than high school students. Based on the main effect model of social support and self-regulation theory, the current study aims at exploring two potential mediating roles of hope and future work self on the relationship between perceived social support and depressive symptoms among vocational high school students by a cross-sectional study.

Relationship between Entrepreneurship Education and Entrepreneurial Intention among College Students: A Meta-Analysis.

Meta-analysis was used to investigate the impact of entrepreneurship education on college students' entrepreneurial intention. Based on the rules of meta-analysis, 389 empirical studies were selected from more than 1000 entrepreneurship education-related documents. The current study processed and analyzed data from 36 records (including 24 journal articles, 11 master's theses, and 1 doctoral thesis) with a total sample of 29,736 students.

Does Involution Cause Anxiety? An Empirical Study from Chinese Universities.

The debate over whether involution causes anxiety has persisted because no studies have attempted to quantify introversion and study its relationship to anxiety. This study quantified involution and explored its relationship with anxiety, provided evidence about whether involution was related to anxiety, and created a foundation for other scholars to carry out research on involution. Interviews and questionnaires were conducted to investigate the characteristics of 535 Chinese college students' involution behavior and its relationship with anxiety.

The Difference in Learning Activities of Postgraduate Students of Different Qualification Types Under the COVID-19 Pandemic: A Multi-Group Latent Class Analysis.

Introduction: There are two types of master's qualifications in China. One is the academic qualification that pays more attention to academic research, aiming to cultivate research-oriented talents; while the other is the application-oriented qualification that focuses more on practical ability, aiming to cultivate applied-oriented talents. The purpose of this study is to explore the impact of the COVID-19 on the learning activities of postgraduate students, as well as the differences in the extent to which the learning activities of postgraduate students of different qualification types are affected and their mental health status.

Classifying and characterizing the development of self-reported overall quality of life among the Chinese elderly: a twelve-year longitudinal study.

Background: To promote healthy aging, the information about the development of quality of life (QoL) is of great importance. However, the explorations of the heterogeneity in the change of QoL under the Chinese context were limited. This study aimed to identify potential different development patterns of QoL and the influential factors using a longitudinal, nationally representative sample of the Chinese elderly.

Effects of the COVID-19 Pandemic on Chinese Graduate Students' Learning Activities: A Latent Class Analysis.

To investigate the impact of the pandemic on graduate students' learning activities, a series of questionnaires were distributed to graduate students in universities across China, and 2,818 responses were collected. A latent class analysis was performed to classify the effects of the pandemic on graduate students' learning activities. Then, a multinomial logistic regression analysis and an analysis of variance analysis were carried out to explore the impact of demographic variables on the classification and their mental health status.

An Extension of Testlet-Based Equating to the Polytomous Testlet Response Theory Model.

Educational assessments tests are often constructed using testlets because of the flexibility to test various aspects of the cognitive activities and broad content sampling. However, the violation of the local item independence assumption is inevitable when tests are built using testlet items. In this study, simulations are conducted to evaluate the performance of item response theory models and testlet response theory models for both the dichotomous and polytomous items in the context of equating tests composed of testlets.

How Course Support and Academic Support Impact on Chinese Graduate Students during the COVID-19: The Multiple Mediating Roles of Thesis Writing and Anxiety.

Because of the impact of the COVID-19 pandemic, the learning style of graduate students has changed considerably, making them more susceptible to psychological problems. This study aimed to explore the mediating roles of thesis writing and anxiety between course support (including course-arrangement, course-assessment, and course-learning), academic support (including academic exchange with colleges, tutors and schoolmates) and depression. There were 3137 graduate students investigated by self-developed Graduate Students' Academic Affected Questionnaire, Self-Rating Anxiety Scale and Self-Rating Depression Scale.

Impact of Academic Support on Anxiety and Depression of Chinese Graduate Students During the COVID-19 Pandemic: Mediating Role of Academic Performance.

Introduction: The COVID-19 pandemic broke out and has spread globally since 2019. It became a public health concern. This pandemic has brought tremendous changes in students' lives and modes of learning.

Growth patterns of activity of daily living disability and associated factors among the Chinese elderly: A twelve-year longitudinal study.

Objectives: The acceleration of population aging has brought a lot of attention to the disability among older populations, but existing results about the development patterns of disability were mixed. The current study aimed to identify the potential different development patterns of disability and the influential factors using a large, nationally representative sample of the Chinese elderly.

Methods: We adopted a five-wave longitudinal dataset from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), and 1,654 elderly aged 65 and over were obtained.

The Impact of the COVID-19 Pandemic on Chinese Postgraduate Students' Mental Health.

To understand the mental health status of Chinese postgraduate students during the COVID-19 pandemic, we used three online questionnaires: self-rating anxiety (SAS) scale, self-rating depression (SDS) scale, and social avoidance and distress (SAD) scale. A total of 3137 postgraduate students from different regions of China participated in our study. We explored the relationship between participant characteristics and mental health using an analysis of variance (ANOVA).

Relationship between Parental Involvement and Mathematics Achievement of Chinese Early Adolescents: Multiple Mediating Roles of Mental Health and Mathematics Self-Efficacy.

This study conceptualized the multidimensional construct of parental involvement, including cognitive involvement, behavioral involvement, and personal involvement, and examined the mediating effects of student's mental health and mathematics self-efficacy. Questionnaires were administered to 2866 early adolescents and their parents in China; structural equation modeling and bias-corrected bootstrap methods were used. The results show that different dimensions of parental involvement had different effects on mathematics achievement.

Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach.

The Difficulties in Emotion Regulation Scale (DERS), as one of the most frequently employed measures of emotion regulation (ER), has increasingly been used in numerous researches and applications. However, the structures derived from previous factor-analytic studies have a high degree of inconsistency. In the current study, both the traditional factor analysis method and novel (bifactor) modeling approaches were employed to examine the most optimal measurement structure of the DERS in a sample of 1036 Chinese participants.

Predicting Students' Attitudes Toward Collaboration: Evidence From Structural Equation Model Trees and Forests.

Numerous studies have shed some light on the importance of associated factors of collaborative attitudes. However, most previous studies aimed to explore the influence of these factors in isolation. With the strategy of data-driven decision making, the current study applied two data mining methods to elucidate the most significant factors of students' attitudes toward collaboration and group students to draw a concise model, which is beneficial for educators to focus on key factors and make effective interventions at a lower cost.

Psychometric Properties and Factor Structures of the CERQ, DERS, and RESE Measures: A Bifactor Approach.

This study aims to simultaneously compare the psychometric properties and examine the factor structures of 3 emotion regulation (ER) strategy scales using a bifactor approach. Due to good reliability and validity, extensive use, and the same scoring method, the Cognitive Emotion Regulation Questionnaire, Difficulties in Emotion Regulation Scale, and Regulatory Emotional Self-Efficacy Scale were used to assess ER strategies in 1,036 Chinese respondents. A bifactor confirmatory factor analysis was designed to address the multidimensionality of the factor structure, and the corresponding bifactor structures were then applied in a subsequent bifactor multidimensional item response theory (MIRT) analysis.

Cognitive decline trajectories and influencing factors in China: A non-normal growth mixture model analysis.

Background: With the increase in the aging population worldwide, cognitive decline has become an important research topic. The purpose of this study is to examine the cognitive development trajectories and influencing factors of different latent classes of Chinese elderly people. This will provide us with effective guidance for prevention and intervention.

Development of Computerized Adaptive Testing for Emotion Regulation.

Emotion regulation (ER) plays a vital role in individuals' well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing (CAT) to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China.

Cognitive Benefits of Activity Engagement among 12,093 Adults Aged over 65 Years.

Objective: The present study includes two aims: (1) to understand patterns of activity engagement among older Chinese adults; (2) to further investigate associations between activity engagement and cognitive abilities in this population.

Methods: Latent class analysis was applied to answer the aforementioned research questions across different age ranges while controlling for confounding variables (age, health, socioeconomic status (SES), and living alone). Specifically, five latent classes (non-active, working-active, comprehensive-active, physical-active, and less-active) were identified.

The need to belong: A parallel process latent growth curve model of late life negative affect and cognitive function.

Objective: Late life negative affect (NA) often co-occurs with poor cognitive function (CF); however, very little is known about the mechanism of the relationship between them. We examined the longitudinal relationship between NA and CF over a 12-year period and the effects of several related risk factors in a general sample.

Methods: Five waves of data on Chinese Longitudinal Healthy Longevity Survey (CLHLS) were collected from a total of 1,314 elderly Chinese, aged 60 and over.

A Comparison of IRT Observed Score Kernel Equating and Several Equating Methods.

Item response theory (IRT) observed score kernel equating was evaluated and compared with equipercentile equating, IRT observed score equating, and kernel equating methods by varying the sample size and test length. Considering that IRT data simulation might unequally favor IRT equating methods, pseudo tests and pseudo groups were also constructed to make equating results comparable with those from the IRT data simulation. Identity equating and the large sample single group rule were both set as criterion equating (or true equating) on which local and global indices were based.

Profiles of Mathematics Anxiety Among 15-Year-Old Students: A Cross-Cultural Study Using Multi-Group Latent Profile Analysis.

Using PISA 2012 data, the present study explored profiles of mathematics anxiety (MA) among 15-year old students from Finland, Korea, and the United States to determine the similarities and differences of MA across the three national samples by applying a multi-group latent profile analysis (LPA). The major findings were that (a) three MA profiles were found in all three national samples, i.e.

A Comparison Study of Tie Non-response Treatments in Social Networks Analysis.

Analysis of social network data often faces the problem of tie non-response. Recent studies show that the results of social network analyses can be severely biased if tie non-response was ignored. To overcome the problems created by tie non-response, several treatments were proposed in the literature: complete-case approach, unconditional mean imputation, reconstruction, and multiple imputation.

The longitudinal trajectory of body mass index in the Chinese population: A latent growth curve analysis.

Aims: The objective of this study was to investigate the longitudinal trajectory of BMI in the Chinese population, and to assess whether the gender or other personal characteristics were related to BMI, and whether there was a change in trajectory over time.

Methods: Data were obtained from 3,574 Chinese (5 to 89 years of age) who participated in the 2000-2011 of the China Health and Nutrition Survey. Latent growth curve models were used to investigate the longitudinal trajectory of BMI, and to examine the effect of some personal characteristics on BMI trajectory.

Changes in cognitive function among older adults: A latent profile transition analysis.

Cognitive decline in late life is a crucial health problem. It is important to understand the consistency and change of older adults' cognitive function in late life. Data for older adults (78 years and above) from the Health and Retirement Study (N = 1680) were used to explore meaningful subtypes of cognitive function and transitions patterns between those profiles across times.