Moving from IBM SPSS to R and RStudio: A Statistics Companion by Howard T. Tokun

Description: Moving from IBM SPSS to R and RStudio by Howard T. Tokunaga The concise and easy-to-read guide for users who want to learn how to perform the same statistical calculations in R as in SPSS. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Guiding the reader through learning R and RStudio (R), this text includes detailed instructions throughout, providing side-by-side comparisons of R and SPSS so the reader can feel confident about performing the same function in R as they do in SPSS. By focusing just on R and avoiding detailed conversations about statistics, Howard T. Tokunaga gives adept SPSS users just the information they need to smoothly transition their data analyses from SPSS to R. Author Biography Howard T. Tokunaga is Professor of Psychology at San Jose State University, where he serves as Coordinator of the MS Program in Industrial/Organizational (I/O) Psychology and teaches undergraduate and graduate courses in statistics, research methods, and I/O psychology. He received his bachelors degree in psychology at UC Santa Cruz and his PhD in psychology at UC Berkeley. In addition to his teaching, he has consulted with a number of public-sector and private-sector organizations on a wide variety of management and human resource issues. He is coauthor (with G. Keppel) of Introduction to Design and Analysis: A Students Handbook. Table of Contents About the AuthorAcknowledgmentsIntroductionChapter 1. Introduction to R1.1 What Is R?1.2 Why are Some Features of R?1.3 Installing R and Getting Help Learning R1.4 Conducting Statistical Analyses in Spss Versus R: A First Example1.5 Comparing Spss and RChapter 2. Preparing to Use R and Rstudio2.1 Tasks to Perform Before Your First R Session2.2 Tasks to Perform Before Any R Session2.3 Tasks To Perform During Any R SessionChapter 3. R Terms, Concepts, and Command Structure3.1 Data-Related Terms3.2 Command-Related Terms3.3 Object-Related Terms3.4 File-Related TermsChapter 4. Introduction to Rstudio4.1 What Is RStudio?4.2 Installing RStudio4.3 Components of RStudio4.4 Writing and Executing R Commands in RStudioChapter 5. Conducting Rstudio Sessions: A Detailed Example5.1 1. Start RStudio5.2 2. Create a New Script File (Optional)5.3 3. Define the Working Directory5.4 4. Import CSV File to Create a Data Frame5.5 5. Change Any Missing Data in Data Frame to NA5.6 6. Save Data Frame With NAs As CSV File in the Working Directory5.7 7. Read the Modified CSV File to Create a Data Frame5.8 8. Download and Install Packages (If Not Already Done)5.9 9. Load Installed Packages (As Needed)5.10 10. Conduct Desired Statistical Analyses5.11 11. Open a New Markdown File5.12 12. Copy Commands and Comments into the Markdown File5.13 13. Knit the Markdown File to Create a Markdown Document5.14 Exiting Rstudio (Save the Workspace Image?)5.15 Getting Help With RChapter 6. Conducting Rstudio Sessions: A Brief Example6.1 1. Start RStudio6.2 2. Create a New Script File (Optional)6.3 3. Define the Working Directory6.4 4. Import CSV File to Create a Data Frame6.5 5. Change Any Missing Data in Data Frame to NA6.6 6. Save Data Frame with NAs as CSV File in the Working Directory6.7 7. Read the Modified CSV File to Create a Data Frame6.8 8. Download and Install Packages (If Not Already Done)6.9 9. Load Installed Packages (As Needed)6.10 10. Conduct Desired Statistical Analyses6.11 11. Open a New Markdown File6.12 12. Copy Commands and Comments into the Markdown File6.13 13. Knit the Markdown File to Create a Markdown Document6.14 Exiting RStudioChapter 7. Conducting Statistical Analyses Using This Book: A Detailed Example7.1 1. Start RStudio7.2 2. Copy and Paste an Example Script into a Script File7.3 3. Modify the Example Script as Needed for the Desired Statistical Analysis7.4 4. Execute the Script to Confirm It Works Properly7.5 5. Copy and Paste the Script into a Markdown File7.6 6. Knit the Markdown File to Create a Markdown DocumentChapter 8. Conducting Statistical Analyses Using This Book: A Brief Example8.1 1. Start RStudio8.2 2. Copy and Paste an Example Script into a Script File8.3 3. Modify the Example Script as Needed for the Desired Statistical Analysis8.4 4. Execute the Script to Confirm it Works Properly8.5 5. Copy and Paste the Script into a Markdown File8.6 6. Knit the Markdown File to Create a Markdown DocumentChapter 9. Working With Data Frames and Variables in R9.1 Working with Data Frames9.2 Working With VariablesChapter 10. Conducting Statistical Analyses Using SPSS Syntax10.1 Conducting Analyses in SPSS Using Menu Choices10.2 Conducting Analyses in Spss Using Syntax Commands10.3 Editing SPSS Output FilesAppendix A: Data TransformationsReverse Score a Variable (Recode)Reduce the Number of Groups in a Categorical Variable (Recode)Create a Categorical Variable from a Continuous Variable (Recode)Create a Variable from Other Variables (Minimum Number of Valid Values) (Compute)Create a Variable from Occurrences of Values of Other Variables (Count)Perform Data Transformations When Conditions are Met (IF)Perform Data Transformations Under Specified Conditions (DO IF/END IF)Perform Data Transformations Under Different Specified Conditions (DO IF/ELSE IF/END IF)Use Numeric Functions in Data Transformations (ABS, RND, TRUNC, SQRT)Appendix B: Statistical ProceduresDescriptive Statistics (All Variables)Descriptive Statistics (Selected Variables)Descriptive Statistics (Selected Variables) by GroupFrequency Distribution TableHistogramt-Test for One MeanConfidence Interval for the MeanT-Test for Independent MeansT-Test for Dependent Means (Repeated-Measures T-Test)One-Way Anova and Tukey Post-Hoc ComparisonsOne-Way Anova and Trend AnalysisSingle-Factor Within-Subjects (Repeated Measures) AnovaTwo-Factor Between-Subjects AnovaTwo-Factor Between-Subjects Anova (Simple Effects)Two-Factor Between-Subjects Anova (Simple Comparisons)Two-Factor Between-Subjects Anova (Main Comparisons)Two-Factor Mixed Factorial AnovaTwo-Factor Within-Subjects AnovaThree-Factor Between-Subjects AnovaPearson Correlation (One Correlation)Pearson Correlation (Correlation Matrix)ScatterplotInternal Consistency (Cronbachs Alpha)Principal Components Analysis (Varimax Rotation)Principal Components Analysis (Oblique Rotation)Factor Analysis (Principal Axis Factoring)Linear RegressionMultiple Regression (Standard)Multiple Regression (Hierarchical With Two Steps)Multiple Regression (Hierarchical With Three Steps)Multiple Regression (Testing Moderator Variables Using Hierarchical Regression)Multiple Regression (Portraying A Significant Moderating Effect)Multiple Regression (Stepwise)Multiple Regression (Backward)Multiple Regression (Forward)Canonical Correlation AnalysisDiscriminant Analysis (Two Groups)Discriminant Analysis (Three Groups)Cross-Tabulation and the Chi-Square Test of IndependenceFurther Resources Details ISBN1071817000 Language English Year 2021 ISBN-10 1071817000 ISBN-13 9781071817001 Subtitle A Statistics Companion Format Paperback Author Howard T. Tokunaga Short Title Moving from IBM® SPSS® to R and RStudio® Pages 312 Publisher SAGE Publications Inc Imprint SAGE Publications Inc Place of Publication Thousand Oaks Country of Publication United States Publication Date 2021-06-15 NZ Release Date 2021-06-15 US Release Date 2021-06-15 UK Release Date 2021-06-15 Birth 1992 Position Malmoe University, Sweden DEWEY 001.42202855133 Audience Tertiary & Higher Education AU Release Date 2021-06-14 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:142689584;

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