A Step by Step Guide for SPSS and Exercise Studies

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Data handling 41 Dialog box 43 Rank Cases (Dialog box 43) This option is useful when you want to convert raw data into meaningful ranks. For example, suppose you have conducted a 40m-sprint test and you have recorded the participants’ times. You may want to rank them starting from the fastest runner. Select the variable time and move it into the Variable(s): box. Click OK and a new variable will appear in the data file called rtime, which has ranked all runners starting from the fastest (who has been allocated rank 1). Depending on the type of data, you may want to assign rank 1 to the largest rather than the smallest value (e.g., results from a strength test). Therefore, make the most appropriate selection when using the Assign Rank 1 to option. Note that ties are assigned the same rank. In the example shown in Dialog box 43, you may want to rank the participants within subgroups (e.g., gender). That is, you may want to find out who is the fastest among males (code 1) and among females (code 2). The fastest from both groups will be assigned rank 1. In addition to what you did before, you need to move the gender variable into the By box. In the example shown in Figure 16, rtime is the new variable which contains the ranks for males and females. As you can see, the fastest male ran in 5.01 seconds and the fastest female in 5.62 seconds. Both have rank 1 in the rtime column, because the runners have been ranked within their gender group. Replace Missing Values (Dialog box 44) Most types of research, especially those involving questionnaires, have to deal with the problem of missing values. Some participants may not understand certain questions, or they may overlook them, or even consciously decide not to answer them. Incomplete questionnaires pose a problem, especially if the sample
42 Data handling Figure 16 size of a survey is small. SPSS will ignore the missing values (indicated by empty cells or by a specific code; see Data Entry in Chapter 1), unless you decide to replace them. Suppose some patients decide not to answer a question regarding their monthly attendance at an exercise programme of a cardiac rehabilitation centre. Find the variable attend and move it into the New Variable(s) box. SPSS by default will use the Series mean method to calculate the missing values and will create a new variable with no missing values called attend_1. If you do not like the new name you can change it by clicking on Change. When you finish, click OK and a new column will appear in the data file called attend_1. This column has all the monthly attendance scores without any missing values. The Series mean method replaces the missing values with the mean score of the particular variable (i.e., attend). This is the most common method of
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A Step-by-Step Guide to SPSS for Sp
Page 5 and 6: First published 2001 by Routledge 1
Page 8 and 9: Contents Preface Acknowledgements x
Page 10 and 11: Contents 4 Chart and table options
Page 12 and 13: Preface This book intends to fill i
Page 14: Acknowledgements The comments and s
Page 17 and 18: 2 Introduction variety of options a
Page 19 and 20: 4 Introduction Data Entry Each row
Page 21 and 22: 6 Introduction Dialog box 3 Dialog
Page 23 and 24: 8 Data handling Dialog box 5 Dialog
Page 25 and 26: 10 Data handling Dialog box 8 Dialo
Page 27 and 28: 12 Data handling Dialog box 11 Dial
Page 29 and 30: 14 Data handling Dialog box 14 Tabl
Page 31 and 32: 16 Data handling Dialog box 16 numb
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Page 35 and 36: 20 Data handling for any analysis t
Page 37 and 38: 22 Data handling Show/Hide These op
Page 39 and 40: 24 Data handling Dialog box 21 asce
Page 41 and 42: 26 Data handling Merge File (Add Ca
Page 43 and 44: 28 Data handling Dialog box 25 Tabl
Page 45 and 46: 30 Data handling Dialog box 27 Figu
Page 47 and 48: 32 Data handling Figure 13 Dialog b
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Page 55: 40 Data handling Dialog box 42 Figu
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Page 67 and 68: 52 Statistical tests Dialog box 53
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Page 75 and 76: 60 Statistical tests Custom Tables/
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Page 81 and 82: 66 Statistical tests How to carry o
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100 Statistical tests MANOVA should
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106 Statistical tests univariate ap
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108 Statistical tests Dialog box 77
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114 Statistical tests presented. No
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138 Statistical tests How to report
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146 Statistical tests rotation and
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148 Statistical tests Table 56 Figu
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150 Statistical tests Nonparametric
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4 Chart and table options Graphs SP
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5 Miscellaneous options Utilities V
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248 Miscellaneous options Format Di
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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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