Therapists as fixed versus random effects-some statistical and conceptual issues: a comment on Siemer and Joormann (2003).
暂无分享,去创建一个
[1] D. A. Kenny,et al. The effect of nonindependence on significance testing in dyadic research. , 1995 .
[2] E. Frank,et al. Generalized covariance‐adjusted canonical correlation analysis with application to psychiatry , 2003, Statistics in medicine.
[3] Jim Mintz,et al. Implications of therapist effects for the design and analysis of comparative studies of psychotherapies. , 1991 .
[4] W. Miller,et al. Therapist effects in three treatments for alcohol problems , 1998 .
[5] G. Casella,et al. Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.
[6] L R Muenz,et al. Psychosocial treatments for cocaine dependence: National Institute on Drug Abuse Collaborative Cocaine Treatment Study. , 1999, Archives of general psychiatry.
[7] D. A. Kenny,et al. Consequences of violating the independence assumption in analysis of variance. , 1986 .
[8] S. R. Searle. Linear Models , 1971 .
[9] H. D. Patterson,et al. Recovery of inter-block information when block sizes are unequal , 1971 .
[10] B. Wampold,et al. The consequence of ignoring a nested factor on measures of effect size in analysis of variance. , 2000, Psychological methods.
[11] S. R. Searle. Linear Models: Searle/Linear , 1997 .
[12] A. Beck,et al. Meta‐Analysis of Therapist Effects in Psychotherapy Outcome Studies , 1991 .
[13] Jutta Joormann,et al. Power and measures of effect size in analysis of variance with fixed versus random nested factors. , 2003, Psychological methods.
[14] C. Martindale,et al. The therapist-as-fixed-effect fallacy in psychotherapy research. , 1978, Journal of consulting and clinical psychology.