Larry J. Williams, Ph.D.

Professor

Department of Health Administration
School of Allied Health Professions
Medical College of Virginia Campus
Virginia Commonwealth University
PO BOX 980203
1008 East Clay Street
Richmond, VA 23298

804.828.8663 (V)
804.828.1894 (F)
Email Address: ljwilli1@vcu.edu

Education

Indiana University, School of Business

Ph.D., Organizational Behavior

Research/Teaching Areas

Larry J. Williams is University Professor of Management and Research Professor of Psychology in VCU’s School of Business, Department of Management. During his career, he has taught organizational psychology and behavior, human resources management, and research/quantitative methods at undergraduate, masters (MBA/MS), and doctoral levels, and at institutions inclusive of the University of Tennessee, Purdue, Indiana University, and the United States Army Fort Benjamin.

Dr. Williams’ main research interests involve the application of structural equation methods to various substantive and methodological concerns. His substantive research has included studies of pro-social, citizenship, and helping behaviors in organizational settings, with a special focus on the predictive role of employee attitudes. In the research methods area, Professor Williams’ recent efforts have focused on problems related to the use of survey methods in organizational research and the application of advanced data analysis techniques to these problems. This stream of research has investigated problems associated with common method variance and levels of analysis issues.

Current Projects

Dr. Williams Currently serves as the Founding (and current) Editor of Organizational Research Methods (ORM), a journal sponsored by the Research Methods Division (RMD) of the Academy of Management and published quarterly by Sage. Since its establishment in 1998, ORM has become a leading outlet for organizational research on quantitative and qualitative methods. Additionally, Dr. Williams currently serves as Director of the Center for the Advancement of Research Methods and Analysis (CARMA). CARMA is an interdisciplinary center devoted to helping faculty and students advance their knowledge of social science research methods and data analysis techniques. Since its inception, CARMA has hosted over 40 events in a variety of formats, including colloquia speakers, visiting lecturers, half and full day workshops, and three 3-day mini-conferences. CARMA currently has over 400 members.

Previously, Dr. Williams served as Consulting Editor for the Research Methods and Analysis section of the Journal of Management (1993-1996). He has been a member of the editorial boards of Structural Equation Modeling: A Multidisciplinary Journal, and the Strategic Management Journal. Dr. Williams has served as Chairperson for the RMD of the Academy of Management, and for eight years has been a member of the RMD Executive Committee. He has been an active developer and participant of various RMD activities with a continuing education focus, such as “Ask The Expert” sessions at national and regional meetings of the Academy of Management. Finally, he was recently elected as a member of the Society of Organizational Behavior.

Publications

Williams, L., Edwards, J., & Vandenberg, R. (2003). Recent advances in causal modeling methods for organizational and management research. Journal of Management, accepted for publication.

Goldenhar, L., Williams, L., & Swanson, N. (2003). Modeling job stressors and injury outcomes for construction laborers. Work and Stress, in press.

Williams, L., Ford, L., & Nguyen, N. (2002). Basic and advanced measurement models for confirmatory factor analysis. In Rogelberg, S. (Ed.), Handbook of Research Methods in Industrial and Organizational Psychology, 366-389. Blackwell Publishers, Oxford, UK.

James, L., & Williams, L. (2000). The cross-level operator in regression, ancova, and contextual analysis. In Klein, K., & Kozlowski, S. (Eds.), Multilevel Theory, Research, and Methods in Organizations, 382-424. San Francisco, Jossey Bass (SIOP Frontier Series).

Carlson, D., Kacmar, K., & Williams, L. (2000). Construction and initial validation of a multi-dimensional measure of work-family conflict. Journal of Vocational Behavior, 56, 249-276.

Hurley, A., Scandura, T., Brannick, M., Schriesheim, C., Seers, A., Vandenberg, R., & Williams, L. (1998). Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior, 18, 667-683.

Anderson, S. E., & Williams, L. J. (1996). Individual, job, and interpersonal predictors of helping behavior in organizations. Journal of Applied Psychology, 81, 282-296.

Williams, L. J., Gavin, M. B., & Williams, M. L. (1996). Investigating measurement and non-measurement processes with method effect variables: An example with negative affectivity and employee attitudes. Journal of Applied Psychology, 81, 88-101.

Williams, L. J. (1996). Reliability. In L. Peters, S. Youngblood, & C. Greer, The Blackwell Dictionary of Human Resource Management. Oxford: Blackwell Publishers.

Williams, L. J. (1995). Covariance structure modeling in organizational research: Problems with the method vs. applications of the method. Journal of Organizational Behavior, 16, 225-233.

Magazine, S., Williams, L. J., & Williams, M. L. (1995). An empirical examination of reverse coding effects in Meyer & Allen's (1984) affective and calculative commitment scales. Educational and Psychological Measurement, 56, 241-250.

Williams, L. J., Bozdogan, H., & Aimon-Smith, L. (1995). Inference problems with equivalent models. In Advanced Structural Equation Modeling Techniques (G. Marcoulides & R. Schumacker, Eds.), pp. 279-314. Lawrence Erlbaum Associates.

Williams, L. J., & Holahan, P. (1994). Parsimony based fit indices for multiple indicator models: Do they work? Structural Equation Modeling: A Multidisciplinary Journal, 2, 161-189.

Williams, L. J., & Anderson, S. E. (1994). An alternative approach to method effects using latent variable models: Applications in organizational behavior research. Journal of Applied Psychology, 79, 323-331.

Williams, L. J., & Brown, B. (1994). Method variance in organizational behavior and human resources research: Effects on correlations, path coefficients and hypothesis testing. Organizational Behavior and Human Decision Processes, 57, 185-209.

Williams, L. J., & James, L. (1994). Causal models in organizational behavior research: From path analysis to LISREL and beyond. In Organizational Behavior: The State of the Science (J. Greenberg, Ed.), Lawrence Erlbaum Associates, 181-206.

Medsker, G., Williams, L. J., & Holahan, P. (1994). A review of current practices for evaluating causal models in organizational behavior and human resources management research. Journal of Management, 20, 439-464.

Anderson, S. E., & Williams, L. J. (1992). Assumptions about unmeasured variables with studies of reciprocal relationships: The case of employee attitudes. Journal of Applied Psychology, 77, 638-650.

Williams, L. J., & Anderson, S. E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 17, 601-617.

Williams, L. J., & Podsakoff, P. M. (1989). Longitudinal field methods for studying reciprocal relationships in organizational behavior research: Toward improved causal analysis. In B. Staw & L. Cummings (Eds.), Research in Organizational Behavior. Greenwich: JAI Press Inc.

Williams, L. J., Cote, J. A., & Buckley, M. (1989). The lack of method variance in self-reported affect and perceptions at work: Reality or artifact? Journal of Applied Psychology, 74 (3), 462-468.

Podsakoff, P. M., Williams, L. J., & Todor, W. D. (1986). Effects of organizational formalization on alienation among professionals and nonprofessionals. Academy of Management Journal, 29, 820-831.

Williams, L. J., & Hazer, J. T. (1986). Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis with latent variable structural equation methods. Journal of Applied Psychology, 71, 219-231.

Podsakoff, P. M., & Williams, L. J. (1986). The relationship between job performance and job satisfaction. In E. Locke (Ed.), Generalizing from Laboratory to Field Settings. Lexington: D.C. Heath.

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