Composing Group-Level Constructs From Individual-Level Survey Data
Tóm tắt
Group-level constructs are often derived from individual-level data. This procedure requires a composition model, specifying how the lower level data can be combined to compose the higher level construct. Two common composition methods are direct consensus composition, where items refer to the individual, and referent-shift consensus composition, where items refer to the group. The use and selection of composition methods is subject to a number of problems, calling for more systematic work on the empirical properties of and distinction between constructs composed by different methods. To facilitate and encourage such work, the authors present a methodological framework for addressing the distinction between and the baseline psychometric quality of composed group constructs, illustrated by an empirical example in the group job-design domain. The framework primarily represents a developmental tool with applications in multilevel theory building and scale construction, but also in meta-analysis or secondary analysis, and more general, the validation of group constructs.
Từ khóa
Tài liệu tham khảo
Bliese, P.D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations (pp. 349-381). San Francisco: Jossey-Bass.
Bryk, A.S., 1982, Hierarchical linear models
Cohen, J., 1988, Statistical power analysis for the behavioral sciences, 2
Cordery, J.L. (1996). Autonomous work groups and quality circles. In M. West (Ed.), Handbook of work-group psychology (pp. 225-246). Chichester, UK: Wiley.
Dansereau, F., 1984, Theory testing in organizational behavior: The variant approach
Hackman, J.R., 1980, Work redesign
Kenny, D.A., 1998, Website
Nunnally, J.C., 1978, Psychometric theory, 2
Quigley, N.R., 2007, Organizational Research Methods
Rousseau, D. (1985). Issues of level in organizational research: Multi-level and cross-level perspectives. In L. Cummings & B. Saw (Eds.), Research in organizational behavior (vol. 7, pp. 1-37). Greenwich, CT: JAI.
Snijders, T.A.B., 1999, Multilevel analysis: An introduction to basic and advanced multilevel modeling
Yammarino, F.J., 2002, Leadership, 23