Structural equation modeling in practice testing a theory for research use

Journal of Social Service Research

Volumn 24, Issue 3-4, 1998, Pages 131-171

  Johnson, Knowlton W ^a,b  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b The Community Systems Research Institute ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0040737623     PISSN: 01488376     EISSN: 15407314     Source Type: Journal    
DOI: 10.1300/J079v24n03_06     Document Type: Article

References (91)

1. Alkin, M.C., Daillak, R., &White, P. (1979).Using evaluations.Beverly Hills, CA: Sage.
2. Bentler, RM. (1989).EQS structural equations program manual, Los Angeles: BMDP Statistical Software.
3. Bentler, P.M. (1992a).EQS structural equations program manual.Los Angeles: BMDP Statistical Software.
4. Bentler, P.M., &Bonett, D.G. (1980). Significance tests and goodness-of-ftt in the analysis of covariance structures.Psychological Bulletin,88,588-606.
5. Bernstein, L, &Freeman, H.E. (1975).Academic and entrepreneurial research: Consequences of diversity in federal evaluation studies. New York: Russell Sage.
6. Beyer, J.M., &Trice, H.M. (1982). The utilization process: A conceptual framework and synthesis of empirical findings.Administrative Science Quarterly,27,591-622.
7. Blalock, H.M. (Ed.). (1985).Causal models in panel and experimental designs.Aldine de Gruyter.
8. Bollen, K.A. (1980). Issues in the comparative measurement of political democracy.American Sociological Review, 45,370-390.
9. Bollen, K.A. (1989).Structural equations with latent variables.New York: JohnWiley &Sons.
10. Bollen, K.A., &Long, J.S. (1993a). Introduction. In K.A. Bollen &J.S. Long (Eds.), Testing structural equation models(pp. 1-9). Newbury Park, CA: Sage Publications.
11. Bollen, K.A., &Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective.Psychological Bulletin, 110,305-314.
12. Breckler, S.J. (1990). Application of covariance structure modeling in psychology: Cause for concern?Psychological Bulletin, 107,260-273.
13. Browne, M.W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures.British Journal of Mathematical and Statistical Psychology, 37,62-83.
14. Browne, M.W., &Cudeck, R. (1993). Alternative ways of assessing model fit. In K.A. Bollen &J.S. Long (Eds.), Testing structural equation models. Newbury Park, CA: Sage Publications.
15. Browne, M.W., &Cudeck, R. (1989).Single sample cross-validation indices for covariance structures.Multivariate Behavioral Research, 24,445-455.
16. Caplan, N. (1975). The use of social science information by federal executives. In G.M. Lyons (Ed.), Social science and public policies: The Dartmouth/OECD conference (pp.47-67). Hanover, NH: Dartmouth College.
17. Caplan, N. (1976). Social research and national policy: What gets used, by whom, for what purposes, and with what effects?International Social Society Journal, 28,187-194.
18. Caplan, N. (1977). A minimal set of conditions necessary for the utilization of social science knowledge on policy formulation at the national level. In C.H. Weiss (Ed.), Using social research on public policy-making(pp. 183-197). Lexington, MA: Lexington Books.
19. Clark, P. (1975). Organization design: Review of key problems.Administration Society,7, 213-256.
20. Cook, T.D., Levinson-Rose, J., &Pollard, W.B. (1980). The misutilization of evaluation research: Some pitfalls of definition.Knowledge: Creation, Diffusion, Utilization, 1,477-498.
21. Cudeck, R., &Browne, M.W. (1983). Cross-validation of covariance structures.Multivariate Behavioral Research, 18,147-157.
22. Duncan, O.D. (1975).Introduction to structural equation models.New York: Academic Press.
23. Dunn, W.N. (1980). The two-communities metaphor and models of knowledge use.Knowledge: Creadon, Diffusion, Utilization, 1,515-536.
24. Dunn, W.N., &Swierczek, F.W. (1977). Planned organizational change: Toward grounded theory.Journal of Applied Behavioral Sciences, 13,135-157.
25. Fairwealher, G.W., Sandler, D.H., &Tornatzky, L.G. (1974).Creating change in mental health organizations.Elmsford, NY: Pergamon.
26. Forncll, C., &Larcker, D.F. (1981). Evaluating structural equation models with observable variables and measurement error.Journal of Marketing Research, 18,39-50.
27. Fraser, M., &Taylor, M.J. (1990).An assessment of the literature on social work.Commissioned by the National Institute of Mental Health Task Force on Social Work Research.
28. Gaski, J.F. (1986). Interrelations among a channel entity’s power sources: Impact of the exercise of reward and coercion on expert, referent, and legitimate power sources.Journal of Marketing Research, 23,62-77. •
29. Gillespie, D., Alsup, R., &Rubio, D.M. (1995). Structural equation modeling: An innovation for doctoral social work curricula.Journal of Social Work Education, 31,219-227.
30. Glaser, E.M., Abelson, H.H., &Garrison, K.N. (1983).Putting knowledge to use.San Francisco: Jossey-Bass.
31. Glaser, E.M., &Coffey, H.S. (1967).Utilization of applicable research and demonstration results.Los Angeles: Human Interaction Research Institute.
32. Glisson, C. (1990).A systematic assessment of the social work literature: Trends in social work research.Commissioned by the National Institute of Mental Health Task Force on Social Work Research.
33. Glisson, C., &Gillespie, D.F. (1992). Toward the development of quantitative methods in social work research. In D.F. Gillespie&C. Glisson (Eds.), Quantitative methods in social work: State of tire art(pp. 1-10). New York: The Haworth Press, Inc.
34. Hamilton, M.A., &Orme, J.G. (1990). Examining the content validity of three parenting knowledge measures using LISREL.Social Services Review,64,121-143.
35. Havelock, R. (1969).Planning for innovation through dissemination and utilization of knowledge.Ann Arbor: Institute for Social Research, University of Michigan.
36. Havelock, R.C. (1995).The change agent’s guide(2nd ed.). Englewood Cliffs, NJ: Educational Technology Publications.
37. Howell, R.D. (1987). Covariance structure modeling and measurement issues: A note on “Interrelations among a channel entity’s power sources.”Journal of Marketing Research,24,119-126.
38. Hoyle, R.H., &Panter, A.T. (1995). Writing about structural equation models. In R.H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications(pp. 158-176). Thousand Oaks, CA: Sage Publications.
39. Hu, L.-T., Bentler, P.M., &Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted?Psychological Bulletin, 112,351-362.
40. Johnson, K.W. (1980). Stimulating evaluation use by integrating academia and practice.Knowledge: Creation, Diffusion, Utilization,2,237-262.
41. Johnson, K.W. (1985). Research influence in decision making to control and prevent violence.Knowledge: Creation, Diffusion, Utilization,7(2), 161-189.
42. Johnson, K.W. (1990). Impact of a university-government partnership in criminal justice: A linkage model for the 1990s.Journal of Criminal Justice Education, 1,167-194.
43. Johnson, K.W., Frazier, W., &Riddick, M., Jr. (1983). A change strategy for linking the worlds of academia and practice.The Journal of Applied Behavioral Science, 19,439-460.
44. Joreskog, K.G. (1990). New developments in LISREL: Analysis of ordinal variables using polychoric correlations and weighted least squares.Quality and Quantity, 24,387-404.
45. Joreskog, K.G. (1993). Testing structural equation models. Jn K.A. Bollen &J.S. Long (Eds.), Testing structural equation models.Newbury Park, CA: Sage Publications.
46. Joreskog, K.G. (1994). On the estimation of poJychoric correlations and their asymptotic covariance matrix.Psychometrika,59(3), 381-389.
47. Joreskog, K.G., &Sorbom, D.G. (1993a).New features in PREIJS 2.Chicago: Scientific Software.
48. Joreskog, K.G., &Sorbom, D.G (1993b).New features in LISREL 8.Chicago: Scientific Software.
49. Jdreskog, K. G., &Sorbom, D.G. (1993c).LISREL 8: Structured equation modeling with the SIMPLIS command language.Chicago: Scientific Software International.
50. Joreskog, K.G., &Sorbom, D.G (1989).LISREL 7(1st ed.) [Computer program manual]. Mooresville, IN: Scientific Software.
51. Joreskog, K.G., &Sorbom, D.G. (1988).LISREL 7: A guide to the program and applications.Chicago: SPSS.
52. Joreskog, K.G., &Sorbom, D.G. (1981).LISREL V: Analysis of linear structural relationships by the method of maximum likelihood.Chicago: National Educational Resources.
53. Kirk, R.E. (1982).Experimental design: Procedures for the behavioral sciences.Pacific Grove, CA: Brooks-Cole Publishing Company.
54. Lagorio, J.J., Olson, R.A., &Scott, S. (1991).knowledge transfer in earthquake hazard reduction: A challenge for practitioners and researchers.Berkeley: Center for Environmental Design Research, University of California.
55. Lee, S., &Hershberger, S. (1990). A simple rule for generating equivalent models in covariance structure modeling.Multivariate Behavioral Research, 25,313-334.
56. Liang, J.H., Lawrence, H.R., Bennett, J.M., &Whitelaw, N.A. (1990). Appropriateness of composites in structural equation models.Journal of Gerontology, 45, S52-S59.
57. Lippitt, R. (1965). The use of social research to improve social practice.American Journal of Orthopsychiatry, 35,663-669.
58. Longres, J.F. (1990).Human behavior in the social environment.Itasca, IL: F.E. Peacock Publishers.
59. MacCallum, R.C., Roznowski, M., &Necowitz, L.B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance.Psychological Bulletin, ill,490-504.
60. MacCallum, R.C., &Browne, M.W. (1993). The use of causal indicators in covariance structure models: Some practical issues.Psychological Bulletin,114,533-541.
61. MacCallum, R.C., Wegener, D.T., Uchino, B.N., &Fabrigar, L.R. (1993). The problem of equivalent models in applications of covariance structure analysis.Psychological Bulletin, 114,185-199.
62. Mardia, K.V. (1970). Measures of multivariate skewness and kurtosis with applications.Biometroka, 57,519-530.
63. Micceri, T. (1989). The unicorn, the normal curve, and other improbable creatures.Psychological Bulletin, 105,156-166.
64. Muthen, B.O. (1993). Goodness of fit with categorical and other nonnormal variables. In K.A. Bollen &J.S. Long (Eds.), Testing structural equation models(pp. 205-234). Newbury Park, CA: Sage Publications.
65. Muthen, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators.Psychometrika, 49,115-132.
66. Muthen, B., &Kaplan, D. (1992). A comparison of some methodologies for the factor analysis of non-normal Likert variables: A note on the size of the model.British Journal of Mathematical and Statistical Psychology, 45,19-30.
67. Muthen, B., &Kaplan, D. (1985). A comparison of methodologies for the factor analysis of non-normal Likert variables.British Journal of Mathematical and Statistical Psychology, 38,171-189.
68. Orme, J.G., &Fickling, J.A. (1992). A preliminary examination of the Knowledge Normative Infant Development (KNID) inventory using structural equation modeling.Journal of Social Service Research, 16,59-86.
69. Patton, M.Q. (1978).Utilization-forced evaluation.Beverly Hills: Sage Publications.
70. Patton, M.Q., Grimes, P.S., Guthrie, K.W., Brennan, N.J., French, B.D., &Blyton, D.A. (1977). In search of impact: An analysis of the utilization of federal health evaluation research. In C.H. Weiss (Ed.), Using social research in public policy-making(pp. 141-165). Lexington, MA: Lexington Books.
71. Rein, M., &White, S. (1977). Policy research: Belief and doubt.Policy Analysis,3,239-271.
72. Rich, R.F. (1977). Uses of social science information by federal bureaucrats: Knowledge for action versus knowledge for understanding. In C. Weiss (Ed.), Using social research in public policy making.Lexington, MA: D.C. Heath.
73. Roberts, A.O.H., &Larsen, J.K. (1971).Effective use of mental health research information.Palo Alto: American Institutes for Research.
74. SAS Institute. (1989).SAS/STAT user's guide:Version 6, 4th edition (vol. 2). Cary, NC: Author.
75. Satorra, A., &Bentler, P.M. (1990). Model conditions for asymptotic robustness in the analysis of linear relations.Computational Statistics and Data Analysis, 10,235-249.
76. Siegel, K., &Tuckel, P. (1985). The utilization of evaluation research: Case analysis.Evaluation Review, 9,307-328.
77. Sorenson, J.L. et al. (1988). Dissemination of a job seekers’ workshop to drug treatment programs.Behavior Therapy, 19,143-155.
78. Steiger, J.H. (1990). Structural model evaluation and modification: An interval estimate approach.Multivariate Behavioral Research, 25,173-180.
79. Stelzl, I. (1986). Changing causal relationships without changing the fit: Some rules for generating equivalent LISREL-models.Multivariate Behavioral Research, 21,309-331.
80. Tanaka, J.S. (1993). Multifaceted conceptions of fit in structural equation models. In K.A. Bollen &J.S. Long (Eds.), Testing structural equation models(pp. 10.-39). Newbury Park, CA: Sage Publications.
81. Task Force on Social Work Research. (1991).Building social work knowledge for effective services and policies: A plan for research development.Austin, TX: Author.
82. Tornatzky, L.G., Eveland, J.D., Boylan, M.G., Helzner, W.A., Johnson, E.C., Roitman, D., &Schneider, J. (1983).The process of technological innovation: Reviewing the literature.Washington, DC: National ScienceFoundation.
83. Tran, T.V. (1992). Subjective health and subjective well-being among minority elderly: Measurement issues-Journal of Social Service Research, 16,133-146.
84. Van de Vail, M., &Boyas, C. (1981). A paradigm of social policy research in advanced systems: An empirical analysis.International Review of Sociology, 17,93-111.
85. Weiss, C.H. (1979). The many meanings of research utilization.Public Administration Review, 29,426-431.
86. Weiss, C.H., &Bucuvalas, M. (1980). Truth tests and utility tests: Decision makers’ frames-of-reference for social science research.American Sociological Review, 45,302-313.
87. Weiss, C.H., &Bucuvalas, M. (1977). The challenge of social research to decision making. In C. Weiss (Ed.), Using social research in public policy making(pp. 213-233). Lexington, MA: D.C. Heath.
88. Werts, C.E., Linn, R.L., &Joreskog, K.G. (1974). Interclass reliability estimates: Testing structural assumptions.Educational and Psychological Measurement, 34,25-33.
89. West, S.G., Finch, J.F., &Curran, P.J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In R. Hoyle (Ed.), Structural Equation Modeling: Concepts, issues, and applications(pp. 56-75). London: Sage.
90. Wiley, D.E.,&Wiley, J.A. (1970). The estimation of measurement error in panel data.American Sociological Review,35,112-117.
91. Yin, R.K., &Moore, G.B. (1985).The utilization of research: Lessons from the natural hazards field.Washington, DC: Cosmos.