Required Sample Size to Detect the Mediated Effect

Psychological Science - Tập 18 Số 3 - Trang 233-239 - 2007
Matthew S. Fritz1, David P. MacKinnon1
1Arizona State University**

Tóm tắt

Mediation models are widely used, and there are many tests of the mediated effect. One of the most common questions that researchers have when planning mediation studies is, “How many subjects do I need to achieve adequate power when testing for mediation?” This article presents the necessary sample sizes for six of the most common and the most recommended tests of mediation for various combinations of parameters, to provide a guide for researchers when designing studies or applying for grants.

Từ khóa


Tài liệu tham khảo

10.1007/978-3-642-69746-3_2

10.1037/0022-3514.51.6.1173

10.1177/014662168300700301

Cohen J., 1988, Statistical power analysis for the behavioral sciences, 2

10.1037/0003-066X.45.12.1304

Cohen J., 2003, Applied multiple regression/correlation analysis for the behavioral sciences, 3

10.1037/0021-843X.112.4.558

10.1007/978-1-4899-4541-9

10.1037/0022-006X.65.4.599

Hoyle R.H., 1999, Statistical strategies for small sample research, 195

Judd C.M., 1981, Estimating the effects of social interventions

10.1177/0193841X8100500502

Kenny D.A., 1998, The handbook of social psychology, 1, 233

Lomnicki Z.A., 1967, Journal of the Royal Statistical Society, 29, 513, 10.1111/j.2517-6161.1967.tb00713.x

MacKinnon D.P., Behavioral Research Methods

MacKinnon D.P., Lockwood C.M. (2001). Distribution of products tests for the mediated effect. Unpublished manuscript, Arizona State University, Tempe.

10.1037/1082-989X.7.1.83

10.1207/s15327906mbr3901_4

10.1207/s15327906mbr3001_3

Manly B.F., 1997, Randomization and Monte Carlo methods in biology

Meeker W.Q., 1981, Selected tables in mathematical statistics

Miller A.J. (1997). FNPROD [Computer program]. Retrieved September 14, 2004, from http://users.bigpond.net.au/amiller/

10.1017/S030500410001152X

R Development Core Team. (2006). R (Version 2.2.0) [Computer program]. Vienna: R Foundation for Statistical Computing.

SAS Institute. (2004). SAS (Version 8.02) [Computer program]. Cary, NC: Author.

10.1037/1082-989X.7.4.422

10.2307/270723

10.1137/0114046