User manual SPSS BASE 11.5

[. . . ] SPSS Base 11. 5 User's Guide ® For more information about SPSS® software products, please visit our Web site at http://www. spss. com or contact SPSS Inc. 233 South Wacker Drive, 11th Floor Chicago, IL 60606-6412 Tel: (312) 651-3000 Fax: (312) 651-3668 SPSS is a registered trademark and the other product names are the trademarks of SPSS Inc. No material describing such software may be produced or distributed without the written permission of the owners of the trademark and license rights in the software and the copyrights in the published materials. The SOFTWARE and documentation are provided with RESTRICTED RIGHTS. [. . . ] Figure 17-2 Summarize Cases dialog box 291 Summarize Select one or more variables. Optionally, you can: n Select one or more grouping variables to divide your data into subgroups. n Click Options to change the output title, add a caption below the output, or exclude cases with missing values. n Click Statistics for optional statistics. n Select Display cases to list the cases in each subgroup. By default, the system lists only the first 100 cases in your file. You can raise or lower the value for Limit cases to first n or deselect that item to list all cases. Summarize Options Figure 17-3 Summarize Cases Options dialog box Summarize allows you to change the title of your output or add a caption that will appear below the output table. You can control line wrapping in titles and captions by typing \n wherever you want to insert a line break in the text. You can also choose to display or suppress subheadings for totals and to include or exclude cases with missing values for any of the variables used in any of the analyses. Often it is desirable to denote missing cases in output with a period or an asterisk. Enter a character, phrase, or code that you would like to have appear when a value is missing; otherwise, no special treatment is applied to missing cases in the output. 292 Chapter 17 Summarize Statistics Figure 17-4 Summarize Cases Statistics dialog box You can choose one or more of the following subgroup statistics for the variables within each category of each grouping variable: sum, number of cases, mean, median, grouped median, standard error of the mean, minimum, maximum, range, variable value of the first category of the grouping variable, variable value of the last category of the grouping variable, standard deviation, variance, kurtosis, standard error of kurtosis, skewness, standard error of skewness, percentage of total sum, percentage of total N, percentage of sum in, percentage of N in, geometric mean, harmonic mean. The order in which the statistics appear in the Cell Statistics list is the order in which they will be displayed in the output. Summary statistics are also displayed for each variable across all categories. Chapter 18 Means The Means procedure calculates subgroup means and related univariate statistics for dependent variables within categories of one or more independent variables. Optionally, you can obtain a one-way analysis of variance, eta, and tests for linearity. Example. Measure the average amount of fat absorbed by three different types of cooking oil and perform a one-way analysis of variance to see if the means differ. Sum, number of cases, mean, median, grouped median, standard error of the mean, minimum, maximum, range, variable value of the first category of the grouping variable, variable value of the last category of the grouping variable, standard deviation, variance, kurtosis, standard error of kurtosis, skewness, standard error of skewness, percentage of total sum, percentage of total N, percentage of sum in, percentage of N in, geometric mean, harmonic mean. Optional statistics include analysis of variance, eta, eta squared, and tests for linearity R and R2. The dependent variables are quantitative and the independent variables are categorical. The values of categorical variables can be numeric or short string. Some of the optional subgroup statistics, such as the mean and standard deviation, are based on normal theory and are appropriate for quantitative variables with symmetric distributions. Robust statistics, such as the median and the range, are appropriate for quantitative variables that may or may not meet the assumption of normality. Analysis of variance is robust to departures from normality, but the data in each cell should be symmetric. Analysis of variance also assumes that the groups come from populations with equal variances. To test this assumption, use Levene's homogeneity-of-variance test, available in the One-Way ANOVA procedure. 293 294 Chapter 18 Sample Output Figure 18-1 Means output Report Absorbed Grams of Fat Type of Oil Peanut Oil Mean N Std. [. . . ] It allows users and administrators to customize their data source in the following ways: n Create aliases for database tables and fields. n Hide extraneous tables and fields. The Database Access Administrator does not actually change your database. Instead, it generates files that hold all of your information, which act as database "views. " You can use the Database Access Administrator to specify up to three different views per database: Enterprise level, Department level, and Personal level. Both the Database Access Administrator and the Database Wizard recognize these files by the following names: n Enterprise level: dba01. inf n Department level: dba02. inf n Personal level: dba03. inf Each file contains level-specific information about any number of data sources. [. . . ]