Prof David Marsden NAB 4.22 and Dr Daniel Beunza NAB 4.27

The PhD seminar in Employment Relations and Organisational Behaviour draws upon organisational, psychological and employment relations theories to advance an understanding of individual, group and firm behaviour. The course covers a number of issues at an advanced level, and introduces students to emerging topics in various fields such as Organisational Behaviour and Employment Relations, including employment systems, employee voice, status, trust, social exchange theory, organisational justice, ethics and ethical climate, and corporate social responsibility. The seminar discussions will be led by a combination of faculty at the EROB group within LSE and prestigious visiting faculty. Throughout the course, students will be exposed to the methodological issues related to conducting research in an up-and-coming area where the research questions may be less known. These methodological issues will provide continuity across the substantively different topics featured on the course.

20 hours of seminars in the MT. 20 hours of seminars in the LT. 10 hours of seminars in the ST.

The following reading list covers six weeks of seminars. All other readings will appear on Moodle.

Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation modeling in practice: A review and recommended two-step approach.Psychological Bulletin, 103, 411-423.

Bentler, P. M., & Chou, C. (1987). Practical issues in structural modelling. Sociological Methods and Research, 16, 78-117.

MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201-226.

Mueller, R. (1997). Structural equation modeling: Back to basics. Structural Equation Modeling, 4, 353-369.

Chen, F. F., & West, S. G. (2008). Measuring individualism and collectivism: The importance of considering differential components, reference groups, and measurement invariance. Journal of Research in Personality, 42, 259-294.

Jackson, D. L., Gillaspy, J. A., Jr., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14, 6-23.

Schmitt, N., & Kuljanin, G. (2008). Measurement invariance: Review of practice and implications. Human Resource Management Review, 18, 210-222.

Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-70.

Wu, C.-H., Chen, L. H., & Tsai, Y.-M. (2009). Longitudinal invariance analysis of the Satisfaction with Life Scale. Personality and Individual Differences, 46, 396-401.

MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104.

Preacher, K. J. (2014). A primer on interaction effects in multiple linear regression. http://www.quantpsy.org/interact/interactions.htm

Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437-448.

Preacher, K. J., Rucker, D. D., & Hayes, A. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions.Multivariate Behavioral Research, 42, 185-227.

Burkholder, G. J., & Harlow, L. L. (2003). An illustration of a longitudinal cross-lagged design for larger structural equation models.Structural Equation Modeling, 10, 465–486.

Essay (100%, 8000 words) in the ST.