IBM SPSS Statistics 23 Step by Step A Simple Guide and Reference 14th Edition by Darren George, Paul Mallery ISBN 0134320255 9780134320250

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ISBN 10: 0134320255 
ISBN 13: 9780134320250
Author: Darren George, Paul Mallery

IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS.

IBM SPSS Statistics 23 Step by Step A Simple Guide and Reference 14th Table of contents:

• Getting Started with SPSS

  • Understanding Data Files and SPSS Data Views

  • Opening, Saving, and Importing Data

  • Overview of the Data Editor Window

  • Working with Variables and Value Labels

• Data Entry and Management

  • Creating and Modifying Variables

  • Data Entry in the Data View

  • Working with Strings, Numbers, and Dates

  • Sorting, Filtering, and Selecting Cases

  • Recoding and Computing New Variables

• Descriptive Statistics

  • Calculating Descriptive Statistics: Mean, Median, Mode

  • Generating Frequency Tables

  • Measures of Dispersion: Range, Variance, Standard Deviation

  • Creating Graphs: Histograms, Bar Charts, Pie Charts

  • Generating Summaries for Groups of Data

• Exploratory Data Analysis

  • Exploring Data with Boxplots and Scatterplots

  • Identifying Outliers and Missing Data

  • Conducting Bivariate Analysis: Correlation and Covariance

  • Cross-Tabulations and Chi-Square Tests

  • Creating and Interpreting Pivot Tables

• Hypothesis Testing and Inferential Statistics

  • One-Sample t-Test and Two-Sample t-Test

  • Paired Sample t-Test and Independent t-Test

  • ANOVA (Analysis of Variance) and Post Hoc Tests

  • Chi-Square Tests for Independence and Goodness of Fit

  • Nonparametric Tests: Mann-Whitney, Kruskal-Wallis, etc.

• Correlation and Regression Analysis

  • Simple Linear Regression: Predicting Relationships

  • Multiple Linear Regression: Understanding Relationships with Multiple Variables

  • Logistic Regression and Categorical Data

  • Correlation Coefficients and Their Interpretation

  • Analyzing Residuals and Model Fit

• Analysis of Categorical Data

  • Chi-Square Test of Independence

  • Fisher’s Exact Test

  • Logistic Regression for Binary Outcomes

  • Contingency Tables and Analysis

  • Comparing Proportions with Chi-Square Tests

• Advanced Statistical Techniques

  • Factor Analysis: Exploring Latent Variables

  • Cluster Analysis: Grouping Cases Based on Similarities

  • Multivariate Analysis of Variance (MANOVA)

  • Time Series Analysis and Forecasting

  • Principal Component Analysis (PCA)

• Using SPSS Syntax

  • Introduction to Syntax Editor and Syntax Commands

  • Writing and Running Syntax for Reproducible Results

  • Creating and Modifying SPSS Syntax Files

  • Automating Repetitive Tasks Using Syntax

  • Debugging Syntax Errors

• Creating and Interpreting Graphs

  • Types of Graphs: Line, Bar, Pie, Scatter, etc.

  • Customizing Graphs and Charts

  • Creating 3D Graphs and Complex Visualizations

  • Exporting Graphs for Presentation and Publication

• Reporting Results

  • Creating Output Files in SPSS

  • Interpreting SPSS Output Tables and Figures

  • Writing Research Reports Using SPSS Results

  • Exporting SPSS Output to Excel, Word, and PDF

• Data Transformation and Reshaping

  • Merging and Aggregating Data Files

  • Transposing and Reshaping Data Structures

  • Rescaling Data and Normalizing Distributions

  • Creating Variables Based on Conditions (e.g., Dichotomous, Categories)

• Advanced Topics in SPSS

  • Structural Equation Modeling (SEM)

  • Advanced Regression Techniques: Ridge, Lasso, and Elastic Net

  • Multilevel Modeling and Hierarchical Linear Models

  • Survival Analysis and Cox Proportional Hazards

  • Text Analytics and Qualitative Data Analysis

• Tips and Tricks for Efficient SPSS Use

  • Keyboard Shortcuts for Speed and Efficiency

  • Troubleshooting Common SPSS Problems

  • Managing Large Datasets Effectively

  • Customizing SPSS for Your Needs

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Tags: Darren George, Paul Mallery, IBM SPSS Statistics