A Guide to SPSS for Analysis of Variance
This book offers examples of programs designed for analysis of variance and related statistical tests of significance that can be run with SPSS. The reader may copy these programs directly, changing only the names or numbers of levels of factors according to individual needs. Ways of altering command specifications to fit situations with larger numbers of factors are discussed and illustrated, as are ways of combining program statements to request a variety of analyses in the same program.
The first two chapters provide an introduction to the use of SPSS, Versions 3 and 4. General rules concerning the use of commands, subcommands, and keywords are discussed, providing a specific introduction to the use of SPSS for analysis of variance. They provide detailed programs for obtaining omnibus F tests in completely randomized designs and for designs that include repeated measures factors. The remaining chapters may be read independently and in any order.
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analysis of variance BEGIN DATA FIG C2 C3 MANOVA CELLINFO MEANS Cl C2 C3 completely randomized design COMPUTE Contrast Interaction CONTRAST subcommand CONTRAST(C DATA LIST LIST/A degrees of freedom DESIGN BEGIN DATA DESIGN subcommand DF MS F END DATA FIG F WITHIN CELLS factor completely randomized factor mixed design factor repeated measures Figure interaction of contrasts interaction of trends keyword level of factor linear trend LIST LIST/A B1C1 MANOVA B1C1 B1C2 MANOVA C1 C2 MANOVA command multiple comparisons MWITHIN C(1 omnibus F test ONEWAY PRINT printout program in Fig program statement RENAME subcommand repeated measures design repeated measures factor seen in Fig set of contrasts SIGNIF(UNIV simple effects tests simple interaction simple simple effects Simple simple trends specifications SPSS SQUARES SOURCE subjects factor SUMS OF SQUARES three factor design three factor mixed TITLE THREE FACTORS TITLE TWO FACTOR Trend and Contrast Trend Tests Type I error UNIQUE SUMS VARIATION SS DF