Canonical correlation analysis of residential and vocational outcomes following psychiatric rehabilitation

Abstract This analysis uses canonical correlation techniques to explore client outcomes following psychosocial rehabilitation services in two rehabilitation areas: vocational and residential. At issue are the ways in which these two outcomes are affected by a series of eight client characteristics and service delivery features. The overarching question is the effectiveness of the program in establishing independence vocationally and residentially, and whether the same set of factors influences these two outcomes for persons with mental illness. Subjects were 212 ex-clients of a psychosocial rehabilitation agency who were working six months after leaving the program. The analysis derived two canonical functions both of which were significant. Canonical loadings and cross loadings indicated that client level of functioning and program tenure loaded most strongly with residential status on the first canonical variate while education loaded most strongly with salary on the second. These results support the notions that different predictors account for the variance associated with different outcomes following psychosocial rehabilitation. Discussion of the relevance of strong predictor variables highlights ways they can impact program design. Finally, the usefulness of canonical correlation in longitudinal program evaluation research is explored.

[1]  M. Goldstein,et al.  Multivariate Analysis: Methods and Applications , 1984 .

[2]  M. Levine Canonical Analysis and Factor Comparison , 1977 .

[3]  K. Tierney,et al.  Social bonding and community adjustment of chronically mentally ill adults. , 1985, Journal of health and social behavior.

[4]  S. Estroff How social is psychosocial rehabilitation , 1983 .

[5]  M. W. Linn,et al.  Foster home characteristics and psychiatric patient outcome. The wisdom of Gheel confirmed. , 1980, Archives of general psychiatry.

[6]  L. Mosher Community residential treatment for schizophrenia: Two‐year follow‐up , 1978, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[7]  J. Stevens,et al.  Applied Multivariate Statistics for the Social Sciences , 1993 .

[8]  R. Tessler,et al.  Factors affecting adjustment of community living. , 1982, Hospital & community psychiatry.

[9]  C. Mowbray,et al.  Sex Differences Among the Long-Term Mentally Disabled , 1986 .

[10]  H. Rosenberg,et al.  Predicting community employment among persons with psychiatric disability: A logistic regression analysis. , 1994 .

[11]  G. Bond,et al.  The effectiveness of psychiatric rehabilitation: A summary of research at Thresholds. , 1984 .

[12]  M. Carpenter,et al.  Predicting the community performance of vocational rehabilitation clients. , 1981, Hospital & community psychiatry.

[13]  R. Drake,et al.  Housing instability and homelessness among aftercare patients of an urban state hospital. , 1989, Hospital & community psychiatry.

[14]  Bruce Thompson,et al.  Finding a Correction for the Sampling Error in Multivariate Measures of Relationship: A Monte Carlo Study , 1990 .

[15]  Lamb Hr A century and a half of psychiatric rehabilitation in the United States. , 1994 .

[16]  W. Anthony Managed mental health care: Will it be rationed care or rational care? , 1993 .

[17]  H. Hotelling Relations Between Two Sets of Variates , 1936 .

[18]  J. Stevens Applied Multivariate Statistics for the Social Sciences , 1986 .

[19]  Jorge L. Mendoza,et al.  A New Perspective On Sequential Testing Procedures In Canonical Analysis: A Monte Carlo Evaluation. , 1978, Multivariate behavioral research.

[20]  J. Cook,et al.  The Community Scholar Program: An outcome study of supported education for students with severe mental illness. , 1993 .

[21]  B. Thompson Canonical Correlation Analysis: Uses and Interpretation , 1984 .

[22]  M. Bartlett THE STATISTICAL SIGNIFICANCE OF CANONICAL CORRELATIONS , 1941 .

[23]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[24]  A. Ralph Hakstian PROCEDURES FOR THE FACTOR ANALYTIC TREATMENT OF MEASURES OBTAINED ON DIFFERENT OCCASIONS , 1973 .

[25]  H. Walberg,et al.  Canonical Variate Analysis and Related Techniques , 1973 .

[26]  Marija J. Norusis,et al.  SPSS for Windows, Advanced Statistics, release 6.0 , 1993 .

[27]  Bruce Thompson,et al.  A Primer on the Logic and Use of Canonical Correlation Analysis. , 1991 .

[28]  William M. K. Trochim,et al.  Using concept mapping to develop a conceptual framework of staff's views of a supported employment program for individuals with severe mental illness. , 1994, Journal of consulting and clinical psychology.

[29]  J. Meltzoff,et al.  The day treatment center: Principles, application and evaluation. , 1966 .

[30]  M. Test,et al.  Issues of special concern to chronically mentally ill women. , 1981 .

[31]  B. Thompson Canonical Correlation Analysis , 1984 .

[32]  J. Cook,et al.  Medical sociology and the study of severe mental illness: reflections on past accomplishments and directions for future research. , 1995, Journal of health and social behavior.

[33]  E. Struening,et al.  SLOF: a behavioral rating scale for assessing the mentally ill. , 1983, Social work research & abstracts.

[34]  J. Fleiss,et al.  The global assessment scale. A procedure for measuring overall severity of psychiatric disturbance. , 1976, Archives of general psychiatry.

[35]  L. J. van der Kamp,et al.  Linear Versus Nonlinear Analysis in the Measurement of Effects in a Quasi-Experimental Design , 1991 .

[36]  M. Bell,et al.  Integrating psychosocial rehabilitation into the hospital psychiatric service. , 1984, Hospital & community psychiatry.

[37]  S. Rosenfield Factors contributing to the subjective quality of life of the chronic mentally ill. , 1992, Journal of health and social behavior.

[38]  M. Farkas,et al.  A client outcome planning model for assessing psychiatric rehabilitation interventions. , 1982, Schizophrenia bulletin.

[39]  F. E. Menz Gender Equity in Access, Services and Benefits from Vocational Rehabilitation , 1989 .

[40]  A. L. V. D. Wollenberg Redundancy analysis an alternative for canonical correlation analysis , 1977 .

[41]  R. L. Vitalo Teaching improved interpersonal functioning as a preferred mode of treatment , 1971 .

[42]  T. F. Witheridge,et al.  Psychiatric rehabilitation as a deterrent to recidivism. , 1982, Hospital & community psychiatry.

[43]  R. M. Durand,et al.  Redundancy analysis: An alternative to canonical correlation and multivariate multiple regression in exploring interset associations. , 1988 .

[44]  D. Stewart,et al.  A general canonical correlation index. , 1968, Psychological bulletin.

[45]  S. Weinberg,et al.  Canonical Analysis when Number of Variables is Large Relative to Sample Size , 1976 .

[46]  H. Lamb,et al.  High expectations of long-term ex-state hospital patients. , 1972, The American journal of psychiatry.

[47]  H. Hotelling The most predictable criterion. , 1935 .

[48]  R. Barcikowski,et al.  A Monte Carlo Study of the Stability of Canonical Correlations, Canonical Weights and Canonical Variate-Variable Correlations. , 1975, Multivariate behavioral research.

[49]  M. Tatsuoka Multivariate Analysis Techniques for Educational and Psychological Research , 1971 .

[50]  R. Bargmann,et al.  Multivariate Analysis (Techniques for Educational and Psychological Research) , 1989 .

[51]  J. Cook,et al.  Natural vocational supports for persons with severe mental illness: Thresholds Supported Competitive Employment Program. , 1992, New directions for mental health services.

[52]  E. Bromet,et al.  Community adjustment of chronic schizophrenic patients in urban and rural settings. , 1989, Hospital & community psychiatry.