By Gustav Levine, Sanford L. Braver, David P. Mackinnon, Melanie C. Page

A tremendously increased and seriously revised moment variation, this renowned consultant presents directions and transparent examples for operating analyses of variance (ANOVA) and several comparable statistical assessments of importance with SPSS. No different advisor deals this system statements required for the extra complicated exams in research of variance. the entire courses within the booklet could be run utilizing any model of SPSS, together with models eleven and 11.5. A desk on the finish of the preface exhibits the place each one form of research (e.g., easy comparisons) are available for every kind of layout (e.g., combined two-factor design). supplying accomplished insurance of the fundamental and complicated subject matters in ANOVA, this is often the one e-book to be had that offers broad insurance of SPSS syntax, together with the instructions and subcommands that inform SPSS what to do, in addition to the pull-down menu point-and-click approach (PAC). special rationalization of the syntax, together with what's beneficial, wanted, and non-compulsory is helping make sure that clients can validate the research being played. The publication beneficial properties the output of every layout in addition to an entire rationalization of the comparable printout. the recent version was once reorganized to supply all research with regards to one layout sort within the similar bankruptcy. It now good points improved insurance of research of covariance (ANCOVA) and combined designs, new chapters on designs with random elements, multivariate designs, syntax utilized in PAC, and all new examples of output with whole factors. the recent version is observed via a CD-ROM with all the book's information units, in addition to workouts for every bankruptcy. This ebook is perfect for readers accustomed to the elemental recommendations of the ANOVA method together with either training researchers and information analysts, in addition to complex scholars studying research of variance.

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In previous clicks, as indicated by the right window, the lowest value of ‘age’ up through 25 was set equal to a value of 1 and scores of 26 to 29 were set to 2. Clicking Continue, then OK completes the recode. Recoding an existing variable follows almost the exact same procedure, except that you will not be required to name a new variable. The If routine is embedded within the Compute menu from the Transform menu (see Fig. 15). FIG. 15. The Compute dialogue box with the If button activated. Once at this window you can build expressions to create your desired values.

However, the “MANOVA” command will work in SPSS for Windows if typed into syntax. Thus, all of the examples in this book can be typed into a syntax window and run. 4 Two-Factor Between-Subjects Analysis of Variance In chapter 3 you learned how to analyze data from a one-factor completely randomized ANOVA. Studies with more than one factor (or independent variable) are called factorial designs. In this chapter, you will learn how to analyze the simplest factorial design, a two-factor completely randomized design.

The Compute dialogue box with the If button activated. Once at this window you can build expressions to create your desired values. You must enter a separate If expression for each new value you want. An example is presented in Fig. 16. DATA TRANSFORMATIONS WITH PAC FIG. 16. 19 An example of an If routine. In Fig. 16, the Compute (as specified on an unseen window) will be executed only if the variable ‘partmarr’ equals 2 and the variable ‘relstat’ equals either 2 or 3. Selecting cases to analyze in Windows, if accomplished with drop-down menus, results in excluded cases being, by default, filtered out, rather than permanently deleted from the active data set.

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