A Stata companion for the fundamentals of social research / Paul M. Kellstedt, Guy D. Whitten, Steven A. Tuch.

Format:

Book

Author/Creator:

Kellstedt, Paul M., 1968- author.

Whitten, Guy D., 1965- author.

Tuch, Steven A., 1949- author.

Language:

English

Subjects (All):

Social sciences--Research--Statistical methods.

Social sciences.

Social sciences--Research--Statistical methods--Computer programs.

Stata.

Physical Description:

xiii, 82 pages : illustrations ; 26 cm

Place of Publication:

Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2023.

Summary:

A Stata Companion for The Fundamentals of Social Research offers students the opportunity to delve into the world of Stata using real data sets and statistical analysis techniques directly from Paul M. Kellstedt, Guy D. Whitten, and Steven A. Tuch's new textbook. Workbook sections parallel chapters in the main text, giving students a chance to apply the lessons and techniques learned in each chapter in a statistical software setting. Detailed chapters teach students to reproduce results presented in the textbook, allowing them to become comfortable performing statistical analyses for evaluating causal claims through repeated practice. Step-by-step instructions for using Stata are provided, along with command lines and screenshots to demonstrate proper use of the software. Instructions for producing the figures and tables in the main text are integrated throughout the workbook. End-of-chapter exercises encourage students to formulate and evaluate their own hypotheses. -- Provided by publisher.

Contents:

Machine generated contents note: 1. The Scientific Study of Society

1.1. Overview

1.2. "A Workbook? Why Is There a Workbook?"

1.3. Getting Started with Stata

1.3.1. Launching Stata

1.3.2. Getting Stata to Do Things

1.3.3. Initially Examining Data in Stata

1.4. Exercises

2. The Art of Theory Building

2.1. Overview

2.2. Examining Variation across Time and across Space

2.2.1. Producing a Bar Graph for Examining Cross-Sectional Variation

2.2.2. Producing a Connected Plot for Examining Time-Series Variation

2.3. Using Google Scholar to Search the Literature Effectively

2.4. Wrapping Up

2.5. Exercises

3. Evaluating Causal Relationships

3.1. Overview

3.2. Exercises

4. Research Design

4.1. Overview

4.2. Exercises

5. Survey Research

5.1. Overview

5.2. Exercises

6. Measuring Concepts of Interest

6.1. Overview

6.2. Exercises

7. Getting to Know Your Data

7.1. Overview

7.2. Describing Categorical and Ordinal Variables

7.3. Describing Continuous Variables

7.4. Putting Statistical Output into Tables, Documents, and Presentations

7.5. Exercises

8. Probability and Statistical Inference

8.1. Overview

8.2. Dice Rolling in Excel

8.3. Exercises

9. Bivariate Hypothesis Testing

9.1. Overview

9.2. Tabular Analysis

9.2.1. Generating Test Statistics

9.2.2. Putting Tabular Results into Papers

9.3. Difference of Means

9.3.1. Examining Differences Graphically

9.3.2. Generating Test Statistics

9.4. Correlation Coefficients

9.4.1. Producing Scatter Plots

9.4.2. Generating Covariance Tables and Test Statistics

9.5. Analysis of Variance

9.5.1. Examining Differences Graphically

9.5.2. Generating ANOVA Test Statistics

9.6. Exercises

10. Two-Variable Regression Models

10.1. Overview

10.2. Estimating a Two-Variable Regression

10.3. Graphing a Two-Variable Regression

10.4. Exercises

11. Multiple Regression

11.1. Overview

11.2. Estimating a Multiple Regression

11.3. From Regression Output to Table - Making Only One Type of Comparison

11.3.1. Comparing Models with the Same Sample of Data, but Different Specifications

11.3.2. Comparing Models with the Same Specification, but Different Samples of Data

11.4. Standardized Coefficients

11.5. Dummy Variables

11.5.1. Creating a Dummy Variable with the "Generate" and "Replace" Commands

11.5.2. Estimating a Multiple Regression Model with a Single Dummy Independent Variable

11.5.3. Estimating a Multiple Regression Model with Multiple Dummy Independent Variables

11.6. Dummy Variables in Interactions

11.7. Models with Dummy Dependent Variables

11.8. Exercises

12. Putting It All Together to Produce Effective Research

12.1. Overview

12.2. Exercises

References.

Notes:

Includes bibliographical references and index.

Other Format:

ebook version :

ISBN:

1009248243

9781009248242

OCLC:

1322048526

Publisher Number:

99993181090