![]() The data files used with this handout are available for download at. The archive must be downloaded and executed in order to extract the data files. The data files are stored in a self-extracting archive. The step-by-step instructions will guide users in performing “tests of significance” using SPSS Statistics and will help users understand how to interpret the output for research questions.ĭownloading the Data Files This handout includes sample data files that can be used for hands-on practice. This handout introduces basic skills for performing hypothesis tests utilizing Chi-Square test for Goodness-of-Fit and generalized pooled t tests, such as ANOVA. IBM SPSS Statistics 20 is well-suited for survey research, though by no means is it limited to just this topic of exploration. These include (1) descriptive statistics, such as frequencies, central tendency, plots, charts and lists and (2) sophisticated inferential and multivariate statistical procedures, such as analysis of variance (ANOVA), factor analysis, cluster analysis, and categorical data analysis. Among its features are modules for statistical data analysis. ![]() It can perform a variety of data analyses and presentation functions, including statistical analysis and graphical presentation of data. This program can be used to analyze data collected from surveys, tests, observations, etc. ![]() Introduction SPSS stands for Statistical Package for the Social Sciences. 14 Using Scripting for Redundant Statistical Analyses. 2 With Fixed Expected Values and within a Contiguous Subset of Values. IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA Summer 2013, Version 2.0 CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES ![]()
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