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Basic Statistics for Social Research

ISBN-10: 0470587989
ISBN-13: 9780470587980
Edition: 2013
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Description: Basic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions,  More...

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Book details

Copyright year: 2013
Publisher: John Wiley & Sons, Limited
Publication date: 12/14/2012
Binding: Paperback
Pages: 560
Size: 7.00" wide x 9.00" long x 1.25" tall
Weight: 2.222
Language: English

Basic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions, tabulations, central tendency, variability, independence, correlation and regression. The use of math and theory are deliberately limited, and the authors focus on how the concepts and tools of statistics are used in the analysis of social science data, rather than on the mathematical and computational aspects. The book also emphasizes the use of computer software to calculate statistics. The book is designed for students in the social sciences.

Tables and Figures
Preface
About the Authors
Univariate Description
Using Statistics
Why Study Statistics?
Tasks for Statistics: Describing, Inferring, Testing, Predicting
Statistics in the Research Process
Basic Elements of Research: Units of Analysis and Variables
Displaying One Distribution
Summarizing Variation in One Variable
Frequency Distributions for Nominal Variables
Frequency Distributions for Ordinal Variables
Frequency Distributions for Interval/Ratio Variables
Summarizing Data Using Excel
Central Tendency
The Basic Idea of Central Tendency
The Mode
The Median
The Mean
Dispersion
The Basic Idea of Dispersion
Dispersion of Categorical Data
Dispersion of Interval/Ratio Data
Describing the Shape of a Distribution
The Basic Ideas of Distributional Shape
The Shape of Nominal and Ordinal Distributions
Unimodality
Skewness
Kurtosis
Some Common Distributional Shapes
The Normal Distribution
Introduction to the Normal Distribution
Properties of Normal Distributions
The Standard Normal, or Z, Distribution
Working with Standard Normal (Z) Scores
Finding Areas "Under the Curve"
Inference and Hypothesis Testing
Basic Ideas of Statistical Inference
Introduction to Statistical Inference
Sampling Concepts
Central Tendency Estimates
Assessing Confidence in Point Estimates
Hypothesis Testing for One Sample
Hypothesis Testing
The Testing Process
Tests about One Mean
Tests about One Proportion
Hypothesis Testing for Two Samples
Comparing Two Groups
Comparing Two Groups' Means
Comparing Two Groups' Proportions
Nonindependent Samples
Using Excel for Two-Sample Tests
Interpreting Group Differences
Multiple Sample Tests of Proportions: Chi-Squared
Comparing Proportions across Several Groups
Testing for Multiple Group Differences
Describing Group Differences
Multiple Sample Tests for Means: One-Way ANOVA
Comparing Several Group Means with Analysis of Variance
Analyzing Variance and the F-Test
Analyzing Variance
The F-Test
Comparing Means
Association and Prediction
Association with Categorical Variables
The Concept of Statistical Association
Association with Nominal Variables
Association with Ordinal Variables
Association of Interval/Ratio Variables
Visualizing Interval/Ratio Association
Significance Testing for Interval/Ratio Association
Regression Analysis
Predicting Outcomes with Regression
Simple Linear Regression
Applying Simple Regression Analysis
Multiple Regression
Applying Multiple Regression
Logistic Regression Analysis
Predicting with Nonlinear Relationships
Logistic Regression
The Logistic Regression Model
Interpreting Effects in Logistic Regression
Estimating Logistic Regression Models with Maximum Likelihood
Applying Logistic Regression
Assessing Partial Effects
Extending Logistic Regression
Appendix
Chi-Squared Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01
F-Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01
Standard Normal Scores (Z-Scores), and Cumulative Probabilities (Proportion of Cases Having Scores below Z)
Student's t-Distribution: Critical Values for Commonly Used Alpha Levels
Index

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