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A Step-by-Step Guide to SPSS for Sport and Exercise Studies by Nikos Ntoumanis

By Nikos Ntoumanis

SPSS is the foreign usual software program package deal for info research within the social sciences. This publication is the single SPSS advisor designed in particular for college students within the fields of game, workout and kinesiology. It comprises game particular situations and information all through.

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Extra info for A Step-by-Step Guide to SPSS for Sport and Exercise Studies

Example text

Skewness and kurtosis are useful in assessing the normality of the data. 96, the data are probably not normally distributed. 46 Statistical tests Table 5 Dialog box 47 In Dialog box 48 you can also specify cut-off points to create equal groups. 33). As you can see in the output table, the first group has values below 2 on the extrinsic motivation scale, because 2 is the cut-off point for the first percentile. 33 percentiles, etc. You can use the cutoff points to create a new variable in the data file with values corresponding to each of the six groups (see Transform in the Compute menu).

Dialog box 35 36 Data handling Dialog box 36 Go to the Compute option (Dialog box 36). Type age in the Target Variable box. DAYS(period-dob))/365. Click OK and a new column will appear in the data file containing the ages of the participants. Count With this option you can count the number of occurrences of a particular value across the different variables of the same case (individual) (Dialog box 37). Suppose you want to find out how many different sports are practised by a sample of pupils. In an available list of five sports (variables), type 1 if they practise a particular sport and 0 if they do not practise it.

The title) only. The collapse option is particularly useful for large output files. To activate these options you need to click on an output block. 22 Data handling Show/Hide These options are available only in an Output Window. , the notes). You need to click on an output block to activate these options. Data Define Dates Use this option when the cases (rows) in the data file represent different points in time and not different individuals. With this option new variables are created in the data file which describe the periodicity of the data in a number of different ways.

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