A Step by Step Guide for SPSS and Exercise Studies

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Statistical tests 161 Dialog box 103 square value of the Kruskal-Wallis test is x 2 (2) ˆ 7.85, which is significant (p ˆ 0.020) (Table 67). Therefore, you should conclude that the mean ranks of the three groups in body self-esteem differ significantly from each other. Unfortunately, SPSS does not offer post-hoc tests, similar to those offered in one-way ANOVA. To locate where the significant differences lie, use the formulae on page 205 in Thomas and Nelson’s (1996) book. Alternatively, you can carry out three Mann-Whitney U tests (see Nonparametric tests-2 independent samples in the Analyze menu) comparing group 1 with group 2, group 2 with group 3, and group 1 with group 3. For these multiple comparisons the significance level should be adjusted by dividing the conventional .05 level with the number of tests (i.e., 3). Therefore, the new significance level for the multiple comparisons should be p ˆ 017. The three Mann-Whitney U tests show Table 66
162 Statistical tests Table 67 that the only significant difference was between those who practise weightlifting (group 1) and tennis (group 3), with the former having significantly higher mean rank (i.e., higher body self-esteem). Groups 1 and 2, and groups 2 and 3 do not differ significantly from each other. How to report the test When you present the results of a Kruskal-Wallis test you should report the mean rank of each group, the chi-square value, its degrees of freedom and significance level. Example 11 shows how you could report the results of a Kruskal-Wallis test in a table. Example 11: Differences in self-esteem among participants from three types of sport M rank x 2 df Weight training 11.90 7.85* 2 Aerobics 7.90 Tennis 4.20 * p
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A Step-by-Step Guide to SPSS for Sp
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First published 2001 by Routledge 1
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Contents Preface Acknowledgements x
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Contents 4 Chart and table options
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Preface This book intends to fill i
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Acknowledgements The comments and s
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2 Introduction variety of options a
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4 Introduction Data Entry Each row
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6 Introduction Dialog box 3 Dialog
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8 Data handling Dialog box 5 Dialog
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10 Data handling Dialog box 8 Dialo
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12 Data handling Dialog box 11 Dial
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14 Data handling Dialog box 14 Tabl
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18 Data handling Dialog box 18 Expo
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26 Data handling Merge File (Add Ca
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28 Data handling Dialog box 25 Tabl
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32 Data handling Figure 13 Dialog b
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3 Statistical tests Analyze A varie
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60 Statistical tests Custom Tables/
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Table 75
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5 Miscellaneous options Utilities V
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250 Suggested reading Pedhazur, E.
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252 Index discriminant analysis 2,
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A Step by Step Guide for SPSS and Exercise Studies

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