Smartphone usage has brought great convenience to our daily life. However, the detrimental consequences of smartphone dependence also require special attention. Based on the theory of planned behavior (TPB), this study designed a questionnaire to investigate college students’ withdrawal from smartphone dependence. The reliability and validity of the questionnaire were tested. The results showed that the reliability of the questionnaire was good (α = 0.84–0.94). The principal component analysis was conducted, contribution rates of these factors were moderately high (62.06%–82.35%). The validity was verified through confirmatory factor analysis. All the model fit indices were higher than the acceptable standard, which indicated the construct validity of the TPB questionnaire is good. The results of the multi-group structural equation model revealed that the model provided excellent fit to the data in each demographic group. The results of structural equation model presented that, in most demographic groups, students’ attitude, subjective norm, and perceived behavioral control of withdrawal from smartphone dependence positively influenced their behavioral intention. Furthermore, subjective norm was the most effective predictors in each group. However, part of the paths from intention to behavior failed to reach the significant level, and their coefficients are relatively small. This reveals the gap between college students’ withdrawal intention and their actual behavior, and there may be other factors influence the relationship between the two variables.

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. We conducted unidimensionality testing, item response theory (IRT) model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation studies were implemented to assess the CAT-ER, which revealed that the CAT-ER developed in this study performed reasonably well, considering that it greatly lessened the test items and time without losing measurement accuracy.

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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. After a series of comparisons, the findings indicated that the bifactor model, with a general ER factor and four distinct subdimensions, was the most optimal structure for the DERS. Based on the study’s findings, the discussion was focused mainly on the future directions and the implications of this bifactor model. The impact and limitations of the study were also discussed, and several suggestions for future research were provided at the end of the paper.