SAS Essentials: A Guide to Mastering SAS for Research (Research Methods for the Social Sciences)

Social Science Research: Principles, Methods, and Practices
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Preview this item Preview this item. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this valuable reference presents data manipulation and statistical techniques, including a website with examples.

Overview of Quantitative Research Methods

This textbook is essential for teachers because the chapters are self-contained and may be used accordingly to the teacher s preference, whether for a one-semester or two-semesters course. Read more Allow this favorite library to be seen by others Keep this favorite library private. Find a copy in the library Finding libraries that hold this item SAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Reviews User-contributed reviews Add a review and share your thoughts with other readers.

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All rights reserved. Remember me on this computer. Cancel Forgot your password? Importing Data from Another Program. Labeling Variables with Explanatory Names. Creating New Variables. Subsetting Data Sets. Appending and Merging Data Sets.

Analyzing One-Way Frequency Tables. Analyzing Two-Way Tables. Performing a One-Sample t-test. Performing a Two-Sample t-test. Performing a Paired t-test. Comparing Three or More Repeated Measures.

Going Deeper: Graphing Mean Comparisons. Simple Linear Regression. Going Deeper: Calculating Predictions. Going Deeper: Residual Analysis.

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Comparing k Independent Samples Kruskal-Wallis. Comparing Two Dependent Paired Samples. Comparing k Dependent Samples Friedman's Test.

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  • SAS Essentials: A Guide to Mastering SAS for Research (Research Methods for the Social Sciences).

Going Deeper: Nonparametric Multiple Comparisons. Logistic Analysis Basics.

SAS Essentials : A Guide to Mastering SAS for Research

Using Simple Logistic Analysis. Multiple Binary Logistic Analysis. Part II Analysis of Covariance. Creating Bar Charts and Pie Charts.

Creating Stacked Bar Charts. Creating Boxplots. Extended ODS Features. Arrays and DO Loops.

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