Li, Y.,Wen, Z. , Hau, K-T., Yuan, K-H., & Peng, Y. (2020). Effects ofcross-loadings on determining the number of factors to retain. StructuralEquation Modeling, 27(6), 841–863 DOI: 10.1080/10705511.2020.1745075
Fang, J., Wang,X., Wen, Z., & Huang, J. (2020). Cybervictimization and loneliness amongChinese college students: A moderated mediation model of rumination and online social support. Children and Youth Services Review, 115, 105085.
Fang, J.,Wang, X., Wen, Z., & Zhou, J. (2020). Fear of missing out and problematicsocial media use as mediators between emotional support from social media andphubbing behavior. Addictive Behaviors,107, 106430.(SCI收錄,SSCI收錄1區,Impact Factor=3.645)
Fang, J.,Wang, X., Yuan, K-H., Wen, Z., Yu, X., & Zhang, G. (2020).Callous-unemotional traits and cyberbullying perpetration: The mediating roleof moral disengagement and the moderating role of empathy. Personality and Individual Differences, 157, 109829. (SSCI收錄2區,Impact Factor=2.331)
Fang, J.,Wang, X., Yuan, K-H., Wen, Z. (2020). Childhood psychological maltreatment andmoral disengagement: A moderated mediation model of callous-unemotional traitsand empathy. Personality and IndividualDifferences, 157, 109814. (SSCI收錄2區,Impact Factor=2.331)
Gu, H.,Wen, Z. , & Fan, X. (2020). Investigating the multidimensionality of the Work-Related Flow Inventory (WOLF): A bifactor exploratory structural equation modelingframework. Frontiers in Psychology, 11: 740. doi: 10.3389/fpsyg.2020.00740.
Wang, Y., Su, Q., & Wen, Z. (2019). Exploring Latent Profiles of Empathy Among Chinese Preschool Teachers: A Person-Centered Approach.Journal of Psychoeducational Assessment,37(6), 706–717.
Fang, J., Wen, Z., & Hau, K. T. (2019). Mediation effects in 2-1-1 multilevel model: An evaluation of alternative estimation methods. Structural Equation Modeling, 26(4), 591–606.
Mai Y, Zhang Z., & Wen Z. (2018). Comparing exploratory structural equation modeling and existing approaches for multiple regression with latent variables. Structural Equation Modeling, 25(5), 737–749.
Fu, Y., Wen, Z., & Wang, Y. (2018). The Total Score with Maximal Reliability and Maximal Criterion Validity: An Illustration Using a Career Satisfaction Measure. Educational and Psychological Measurement, 78(6), 1108–1122.
Chen, Q., Wen, Z., Kong, Y., Niu, J., & Hau, K. T. (2017). Influence of leaders’ psychological capital on their followers: Multilevel mediation effect of organizational identification.Frontiers in Psychology 8, 1776. doi: 10.3389/fpsyg.2017.01776
Wang, Y.,Wen, Z., Fu, Y.,& Zheng, L. (2017). Psychometric properties of a Chinese version of the measure of empathy and sympathy. Personality and Individual Differences, 119, 168–174.
Chen, Y., Wen, Z., & Ye, M. (2017). Exploring profiles of work regulatory focus: A person-centered approach.Personality and Individual Differences,116, 16–21.
Gu, H., Wen, Z., & Fan, X. (2017). Examining and controlling for wording effect in a self-report measure: A monte carlo simulation study. Structural EquationModeling, 24(4), 545–555.
Scalas, L. F., Marsh, H. W., Vispoel, W., Morin, A. J.,& Wen, Z. (2017).Music self-concept and self-esteemformation in adolescence: Acomparison between individualand normative models ofImportance. Psychology of Music,45(6), 763–780.
Gu, H., Wen, Z., & Fan, X. (2017). Structural validity of the Machiavellian Personality Scale: A bifactor exploratory structural equation modeling approach.Personality and Individual Differences,105, 116-123.
Morin, A. J., Scalas, L. F., Vispoel, W., Marsh, H. W., & Wen, Z. (2016). The Music Self-Perception Inventory: Development of a short form. Psychology of Music, 44(5), 915–934.
Chen, Y., Wen, Z., Peng, J., & Liu, X. (2016). Leader-follower congruence in loneliness, LMX and turnover intention.Journal of Managerial Psychology,31(4), 864-879.
Gu, H., Wen, Z., & Fan, X. (2015). The Impact of Wording Effect on Reliability and Validity of the Core Self-Evaluation Scale (CSES): A Bi-factor Perspective. Personality and Individual Difference, 83, 142–147.
Wen, Z., Marsh, H. W., Hau, K. T., Wu, Y., Liu, H., & Morin, A. J. S. (2014). Interaction effects in latent growth models: Evaluation of alternative estimation approaches. Structural Equation Modeling, 21(3),361–374.
Li,B.,Wu,Y.,Wen,Z.,&Wang,M.(2014). Adolescent Student Burnout Inventory in Chinese mainland: Measurement Invariance Across Gender and Educational Track. Journalof Psychoeducational Assessment, 32(3), 227–235.
Wu, Y., Wen, Z., Marsh, H. W., Hau, K. T. (2013). A comparison of strategies for forming product indicators for unequal numbers of items in structural equation models of latent interactions. Structural Equation Modeling, 20(4), 551–567.
Lin, G. C., Wen, Z. Marsh, H. W., & Lin, H. S. Structural equation models of latent interactions: clarification of orthogonalizing and double-mean-centering strategies. Structural Equation Modeling, 2010, 17(3): 374–391.
Wen, Z., Marsh, H. W., & Hau, K. T.Structural equation models of latent interactions: an appropriate standardized solution and its scale-free properties.Structural Equation Modeling, 2010, 17(1): 1–22.
Yang Xu, Wen Zhonglin. The differences of english learning strategies used by students of three education levels.Teaching English in China. 2009, 32(3) :77–86.
Marsh, H. W., Wen, Z., Hau, K. T., Little, T. D., Bovaird, J. A., & Widaman, K. F. Unconstrained structural equation models of latent interactions: contrasting residual- and mean- centered approaches. Structural Equation Modeling, 2007, 14(4): 570–580.
Chang, L., Liu, H., Fung, K.Y., Wang, Y., Wen, Z., Li, H., & Farver, J. The mediating and moderating effects of teacher preference on the relations between students’ social behaviors and peer acceptance. Merrill-Palmer Quarterly, 2007, 53(4): 603–630.
Chang L., Liu H., & Wen, Z. Longitudinal data analyses: How to abstract developmental variations. International Society for the Study of Behavioural Development, 2005, 29(6):14–16.
Marsh, H. W., Wen, Z., & Hau, K. T. Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. Psychological Methods, 2004, 9(3): 275–300.
Marsh, H. W., Hau, K. T., & Wen, Z. In search of golden rules: Comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralising Hu & Bentler (1999) findings. Structural Equation Modeling. 2004, 11(3):320–341.
Chang L, Liu H, Wen Z,Fung K, Wang Y, Xu Y. Mediating teacher liking and moderating authoritative teachering on Chinese adolescents' perceptions of antisocial and prosocial behaviors. Journal of Educational Psychology, 2004, 96(2): 369–380.
Marsh, H. W., Wen, Z., Hau, K. T., & Nagengast, B. (2013) Structural equation models of latent interaction and quadratic effects. In G. R. Hancock, & R. O. Mueller (Ed.) Structural Equation Modeling: A Second Course (2nd ed.) (pp. 267–308). Charlotte, NC: Information Age Publishing.
Marsh, H.W., Hau, K. T,Wen, Z., Nagengast, B., & Morin, A. J. S. (2013). Moderation. In T.D. Little (Ed.), The Oxford Handbook of Quantitative Methods, Vol. 2 (pp. 361–386). New York: Oxford University Press.
Marsh, H. W., Wen, Z., Nagengast, B., & Hau, K. T. Structural equation models of latent interaction. In R. H. Hoyle (Ed.),Handbook of Structural Equation Modeling. New York:Guilford Press. 2012,436–458.
Marsh, H. W., Wen, Z., & Hau, K. T. Structural equation models of latent interaction and quadratic effects. In Hancock, G. R., & Mueller, R. O. (Eds.) Structural Equation Modeling: A Second Course. Greenwich, CT: Information Age Publishing. 2006, 225–265.
Wen. Z. School-Based Assessment in HKDSE: Is the Statistical Moderation Method Disadvantageous for Students from Weak Schools? 40th IAEA conference, Singapore, 27 May, 2014.
Wen. Z., Hau, K. T. Goodness of Fit measures in Structural Equation Modeling. 28th International Congress of Psychology, Bejing, 12, August, 2004.
Wen. Z., Hau, K. T. Internal/external frame of self-concept reference: A comparison between vocational and comprehensive high school students in China. The Third International Biennial SELF Research Conference, Berlin, Germany, 5 July, 2004.
Wen, Z., Marsh, H. W., & Hau, K. T. Analyses of Latent Quadratic Effects in Structural Equation Models: Comparison of Alternative Estimation Approaches. American Educational Research Association Annual Meeting, San Diego, 12 April, 2004。
Wen, Z., Marsh, H. W., & Hau, K. T. Structural Equation Models of Latent Interactions: Comparison of Unconstrained, Constrained, and Generalized Appended Product Indicator (GAPI) Approaches. American Educational Research Association Annual Meeting, Chicago, 21 April, 2003。
Wen, Z., Marsh, H. W., & Hau, K. T. Analyses of Latent Growth: Comparison between Models Based on Items and Scales. American Educational Research Association Annual Meeting, Chicago, 21 April, 2003。
Wen, Z., Marsh, H. W., & Hau, K. T. Structural Equation Models of Latent Interactions: Evaluation of Alternative Strategies. American Educational Research Association Annual Meeting, New Orleans, 4 April, 2002。
Li, Y.,Wen, Z. , Hau, K-T., Yuan, K-H., & Peng, Y. (2020). Effects ofcross-loadings on determining the number of factors to retain. StructuralEquation Modeling, 27(6), 841–863 DOI: 10.1080/10705511.2020.1745075
Fang, J., Wang,X., Wen, Z., & Huang, J. (2020). Cybervictimization and loneliness amongChinese college students: A moderated mediation model of rumination and online social support. Children and Youth Services Review, 115, 105085.
Fang, J.,Wang, X., Wen, Z., & Zhou, J. (2020). Fear of missing out and problematicsocial media use as mediators between emotional support from social media andphubbing behavior. Addictive Behaviors,107, 106430.(SCI收錄,SSCI收錄1區,Impact Factor=3.645)
Fang, J.,Wang, X., Yuan, K-H., Wen, Z., Yu, X., & Zhang, G. (2020).Callous-unemotional traits and cyberbullying perpetration: The mediating roleof moral disengagement and the moderating role of empathy. Personality and Individual Differences, 157, 109829. (SSCI收錄2區,Impact Factor=2.331)
Fang, J.,Wang, X., Yuan, K-H., Wen, Z. (2020). Childhood psychological maltreatment andmoral disengagement: A moderated mediation model of callous-unemotional traitsand empathy. Personality and IndividualDifferences, 157, 109814. (SSCI收錄2區,Impact Factor=2.331)
Gu, H.,Wen, Z. , & Fan, X. (2020). Investigating the multidimensionality of the Work-Related Flow Inventory (WOLF): A bifactor exploratory structural equation modelingframework. Frontiers in Psychology, 11: 740. doi: 10.3389/fpsyg.2020.00740.
Wang, Y., Su, Q., & Wen, Z. (2019). Exploring Latent Profiles of Empathy Among Chinese Preschool Teachers: A Person-Centered Approach.Journal of Psychoeducational Assessment,37(6), 706–717.
Fang, J., Wen, Z., & Hau, K. T. (2019). Mediation effects in 2-1-1 multilevel model: An evaluation of alternative estimation methods. Structural Equation Modeling, 26(4), 591–606.
Mai Y, Zhang Z., & Wen Z. (2018). Comparing exploratory structural equation modeling and existing approaches for multiple regression with latent variables. Structural Equation Modeling, 25(5), 737–749.
Fu, Y., Wen, Z., & Wang, Y. (2018). The Total Score with Maximal Reliability and Maximal Criterion Validity: An Illustration Using a Career Satisfaction Measure. Educational and Psychological Measurement, 78(6), 1108–1122.
Chen, Q., Wen, Z., Kong, Y., Niu, J., & Hau, K. T. (2017). Influence of leaders’ psychological capital on their followers: Multilevel mediation effect of organizational identification.Frontiers in Psychology 8, 1776. doi: 10.3389/fpsyg.2017.01776
Wang, Y.,Wen, Z., Fu, Y.,& Zheng, L. (2017). Psychometric properties of a Chinese version of the measure of empathy and sympathy. Personality and Individual Differences, 119, 168–174.
Chen, Y., Wen, Z., & Ye, M. (2017). Exploring profiles of work regulatory focus: A person-centered approach.Personality and Individual Differences,116, 16–21.
Gu, H., Wen, Z., & Fan, X. (2017). Examining and controlling for wording effect in a self-report measure: A monte carlo simulation study. Structural EquationModeling, 24(4), 545–555.
Scalas, L. F., Marsh, H. W., Vispoel, W., Morin, A. J.,& Wen, Z. (2017).Music self-concept and self-esteemformation in adolescence: Acomparison between individualand normative models ofImportance. Psychology of Music,45(6), 763–780.
Gu, H., Wen, Z., & Fan, X. (2017). Structural validity of the Machiavellian Personality Scale: A bifactor exploratory structural equation modeling approach.Personality and Individual Differences,105, 116-123.
Morin, A. J., Scalas, L. F., Vispoel, W., Marsh, H. W., & Wen, Z. (2016). The Music Self-Perception Inventory: Development of a short form. Psychology of Music, 44(5), 915–934.
Chen, Y., Wen, Z., Peng, J., & Liu, X. (2016). Leader-follower congruence in loneliness, LMX and turnover intention.Journal of Managerial Psychology,31(4), 864-879.
Gu, H., Wen, Z., & Fan, X. (2015). The Impact of Wording Effect on Reliability and Validity of the Core Self-Evaluation Scale (CSES): A Bi-factor Perspective. Personality and Individual Difference, 83, 142–147.
Wen, Z., Marsh, H. W., Hau, K. T., Wu, Y., Liu, H., & Morin, A. J. S. (2014). Interaction effects in latent growth models: Evaluation of alternative estimation approaches. Structural Equation Modeling, 21(3),361–374.
Li,B.,Wu,Y.,Wen,Z.,&Wang,M.(2014). Adolescent Student Burnout Inventory in Chinese mainland: Measurement Invariance Across Gender and Educational Track. Journalof Psychoeducational Assessment, 32(3), 227–235.
Wu, Y., Wen, Z., Marsh, H. W., Hau, K. T. (2013). A comparison of strategies for forming product indicators for unequal numbers of items in structural equation models of latent interactions. Structural Equation Modeling, 20(4), 551–567.
Lin, G. C., Wen, Z. Marsh, H. W., & Lin, H. S. Structural equation models of latent interactions: clarification of orthogonalizing and double-mean-centering strategies. Structural Equation Modeling, 2010, 17(3): 374–391.
Wen, Z., Marsh, H. W., & Hau, K. T.Structural equation models of latent interactions: an appropriate standardized solution and its scale-free properties.Structural Equation Modeling, 2010, 17(1): 1–22.
Yang Xu, Wen Zhonglin. The differences of english learning strategies used by students of three education levels.Teaching English in China. 2009, 32(3) :77–86.
Marsh, H. W., Wen, Z., Hau, K. T., Little, T. D., Bovaird, J. A., & Widaman, K. F. Unconstrained structural equation models of latent interactions: contrasting residual- and mean- centered approaches. Structural Equation Modeling, 2007, 14(4): 570–580.
Chang, L., Liu, H., Fung, K.Y., Wang, Y., Wen, Z., Li, H., & Farver, J. The mediating and moderating effects of teacher preference on the relations between students’ social behaviors and peer acceptance. Merrill-Palmer Quarterly, 2007, 53(4): 603–630.
Chang L., Liu H., & Wen, Z. Longitudinal data analyses: How to abstract developmental variations. International Society for the Study of Behavioural Development, 2005, 29(6):14–16.
Marsh, H. W., Wen, Z., & Hau, K. T. Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. Psychological Methods, 2004, 9(3): 275–300.
Marsh, H. W., Hau, K. T., & Wen, Z. In search of golden rules: Comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralising Hu & Bentler (1999) findings. Structural Equation Modeling. 2004, 11(3):320–341.
Chang L, Liu H, Wen Z,Fung K, Wang Y, Xu Y. Mediating teacher liking and moderating authoritative teachering on Chinese adolescents' perceptions of antisocial and prosocial behaviors. Journal of Educational Psychology, 2004, 96(2): 369–380.
Marsh, H. W., Wen, Z., Hau, K. T., & Nagengast, B. (2013) Structural equation models of latent interaction and quadratic effects. In G. R. Hancock, & R. O. Mueller (Ed.) Structural Equation Modeling: A Second Course (2nd ed.) (pp. 267–308). Charlotte, NC: Information Age Publishing.
Marsh, H.W., Hau, K. T,Wen, Z., Nagengast, B., & Morin, A. J. S. (2013). Moderation. In T.D. Little (Ed.), The Oxford Handbook of Quantitative Methods, Vol. 2 (pp. 361–386). New York: Oxford University Press.
Marsh, H. W., Wen, Z., Nagengast, B., & Hau, K. T. Structural equation models of latent interaction. In R. H. Hoyle (Ed.),Handbook of Structural Equation Modeling. New York:Guilford Press. 2012,436–458.
Marsh, H. W., Wen, Z., & Hau, K. T. Structural equation models of latent interaction and quadratic effects. In Hancock, G. R., & Mueller, R. O. (Eds.) Structural Equation Modeling: A Second Course. Greenwich, CT: Information Age Publishing. 2006, 225–265.
Wen. Z. School-Based Assessment in HKDSE: Is the Statistical Moderation Method Disadvantageous for Students from Weak Schools? 40th IAEA conference, Singapore, 27 May, 2014.
Wen. Z., Hau, K. T. Goodness of Fit measures in Structural Equation Modeling. 28th International Congress of Psychology, Bejing, 12, August, 2004.
Wen. Z., Hau, K. T. Internal/external frame of self-concept reference: A comparison between vocational and comprehensive high school students in China. The Third International Biennial SELF Research Conference, Berlin, Germany, 5 July, 2004.
Wen, Z., Marsh, H. W., & Hau, K. T. Analyses of Latent Quadratic Effects in Structural Equation Models: Comparison of Alternative Estimation Approaches. American Educational Research Association Annual Meeting, San Diego, 12 April, 2004。
Wen, Z., Marsh, H. W., & Hau, K. T. Structural Equation Models of Latent Interactions: Comparison of Unconstrained, Constrained, and Generalized Appended Product Indicator (GAPI) Approaches. American Educational Research Association Annual Meeting, Chicago, 21 April, 2003。
Wen, Z., Marsh, H. W., & Hau, K. T. Analyses of Latent Growth: Comparison between Models Based on Items and Scales. American Educational Research Association Annual Meeting, Chicago, 21 April, 2003。
Wen, Z., Marsh, H. W., & Hau, K. T. Structural Equation Models of Latent Interactions: Evaluation of Alternative Strategies. American Educational Research Association Annual Meeting, New Orleans, 4 April, 2002。