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Statistical Methods for the Social Sciences / Alan Agresti, Barbara Finlay

Yazar: Katkıda bulunan(lar):Dil: İngilizce New Jersey: PEARSON, 2009Baskı: Fourth EditionTanım: 609 pages; 25 cmİçerik türü:
  • text
Ortam türü:
  • unmediated
Taşıyıcı türü:
  • volume
ISBN:
  • 978-0-13-713150-1
  • 0-13-713150-X
Konu(lar): DDC sınıflandırma:
  • 519.5  A47 2009
Çevrimiçi kaynaklar:
Eksik içerik
1 Introduction
1 Introduction to Statistical Methodology
4 Descriptive Statistics and Inferential Statistics
6 The Role of Computers in Statistics
7 Chapter Summary
11 Sampling and Measurement
11 Variable and Their Measurement
15 Randomization
18 Sampling Variability and Potential Bias
21 Other Probability Sampling Methods
24 Chapter Summary
31 Descriptive Statistics
31 Describing Data with Table and Graphs
38 Describing the Center of the Data
46 Describing Variability of the Data
51 Measures of Position
55 Bivariate Descriptive Statistics
58 Sample Statistics and Population Parameters
59 Chapter Summary
73 Probability Distribitions
73 Introduction to Probability
75 Probability Distributions for Discrete and Continuous Variables
78 The Normal Probability Distribution
85 Sampling Distributions Describe How Statistics Vary
Sampling Distributions of Sample Means
Review Population Sample Data and Sampling Distributions
Chapter Summary
Statistical Inference Estimation
Point and Interval Estimation
Confidence Interval for a Proportion
Confidence Interval for a Mean
Choice of sample Size
Confidence Intervals for Median and Other Parameters*
Chapter Summary
Statistical Inference Significance Tests
The Five Parts of a Significant test
Significance Test for a mean
Significance Test for a Proportion
Decisions and Types of Errors in Tests
Limitations of Significance Tests
Calculating P (Type II Error )*
Small-Sample Test for a Proportion- the Binomial Distribution*
Chapter Summary
Comparison of two Groups
Preliminaries for Comparing Group
Categorical Data Comparing Two Proportions
Quantitative Data Comparing Two Means
193
Other Methods for Comparing Means*
Other Methds for Comparing Proportions*
Nonparametric Statistics for Comparing
Chapter Summary
Analyzıng Assocıatıon between Categorıcal Varıables
Contıngency Tables
Chı-Squared Test of Independence
Resıduals: Detecting the Pattern of Association
233
239
Inference for Ordinal Associations
Chapter Summary
Linear Regression and Correlation
Linear Relationships
Least Squares Prediction Equation
The Linear Regression Model
Measuring Linear Association: The Correlation
Inferences for the Slope and Correlation
Model Assumptions and Violation
Chapter Summary
Introduction to Multivariate Relationships
Association and Casualty
Controlling for Other Variables
Types of Multivariate Relationships
Inferential Issues in Statistical Control
Chapter Summary
Multiple Regression and Correlation
The Multiple Regression Model
Example with multiple Regression Computer output
Multiple Correlation R 2
Inference for Multiple Regression Coefficients
Interactions Between Predictors in Their Effects
Comparing Regression Models
Partial Correlations
Standardized Regression Coefficients
Chapter Summary
Comparing Groups: Analysis of Variance(ANOVA)
Comparing Several Means: The Analysis of Variance F Test
Multiple Comparisons of Means
Performing ANOVA by Regression Modeling
Two-Way Analysis of Variance
Two-way ANOVA and Regression
Repeated Measures
Two-Way ANOVA with Repeated Measures on a Factors
Effects of Violations of ANOVA Assumption
Chapter Summary
Combining Regression and ANOVA: Quantitative and Categorical Predictors
Regression with Quantitative and Categorical Predictors
Permitting Interaction between Quantitative and Categorical Predictors
Inference for Regression with Quantitative and Categorical Predictors
Adjusted Means
Chapter Summary
Model Building with Multiple Regression
Model Selection Procedures
Regression Diagnostics
Effects of Multicollinearity
Generalized Linear Models
Nonlinear Relationships Polynomial Regression
Exponential Regression and Log Transforms
Chapter Summary
Logistic Regression: Modeling Categorical Responses
Logistic Regression
Multiple Logistic Regression
Inference for Logistic Regression Models
Logistic Regression Models for Ordinal Variables
Logistic Models for Normal Responses
Loglinear Relationship Models For Nominals Responses
Model Goodness-of -Fit Tests For Contingency Tables
Chapter Summary
An Introduction to Advanced Methodology
Longitudinal Data Analysis
Multilevel (Hierarchical)
Event History Models
Path Analysis
Factor Analysis
Structural Equation Models
Markov Chains
Appendix A: SPSS and S.A.S For Statistical Analysis
Appendix B: Answers to Selected Odd-Numbered Exercises
Tables
Bibliography
Index
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337 C64 2021 Global Political Economy: Theory and Practice / 340.1 F74 2014 LLOYD'S INTRODUCTION TO JURISPRUDENCE / 342.41 B37 2021 Constitutional and Administrative Law / 519.5 A47 2009 Statistical Methods for the Social Sciences / 572.86 P44 2020 Genetics / 823 A45 1950 The Crime at Black Dudley / 823 H27 1986 Hardacre /

Includes index

4 copies

1 Introduction

1 Introduction to Statistical Methodology

4 Descriptive Statistics and Inferential Statistics

6 The Role of Computers in Statistics

7 Chapter Summary

11 Sampling and Measurement

11 Variable and Their Measurement

15 Randomization

18 Sampling Variability and Potential Bias

21 Other Probability Sampling Methods

24 Chapter Summary

31 Descriptive Statistics

31 Describing Data with Table and Graphs

38 Describing the Center of the Data

46 Describing Variability of the Data

51 Measures of Position

55 Bivariate Descriptive Statistics

58 Sample Statistics and Population Parameters

59 Chapter Summary

73 Probability Distribitions

73 Introduction to Probability

75 Probability Distributions for Discrete and Continuous Variables

78 The Normal Probability Distribution

85 Sampling Distributions Describe How Statistics Vary

Sampling Distributions of Sample Means 89

Review Population Sample Data and Sampling Distributions 95

Chapter Summary 99

Statistical Inference Estimation 107

Point and Interval Estimation 107

Confidence Interval for a Proportion 110

Confidence Interval for a Mean 116

Choice of sample Size 124

Confidence Intervals for Median and Other Parameters* 129

Chapter Summary 132

Statistical Inference Significance Tests 143

The Five Parts of a Significant test 144

Significance Test for a mean 147

Significance Test for a Proportion 156

Decisions and Types of Errors in Tests 159

Limitations of Significance Tests 163

Calculating P (Type II Error )* 166

Small-Sample Test for a Proportion- the Binomial Distribution* 169

Chapter Summary 173

Comparison of two Groups 183

Preliminaries for Comparing Group 183

Categorical Data Comparing Two Proportions 187

Quantitative Data Comparing Two Means 191

193 Comparing Means with Dependent Samples

Other Methods for Comparing Means* 197

Other Methds for Comparing Proportions* 201

Nonparametric Statistics for Comparing 205

Chapter Summary 208

Analyzıng Assocıatıon between Categorıcal Varıables 221

Contıngency Tables 221

Chı-Squared Test of Independence 224

Resıduals: Detecting the Pattern of Association 229

233 Measuring Association in Contingency Tables

239 Association Between Ordinal Variables

Inference for Ordinal Associations 243

Chapter Summary 246

Linear Regression and Correlation 255

Linear Relationships 256

Least Squares Prediction Equation 259

The Linear Regression Model 265

Measuring Linear Association: The Correlation 269

Inferences for the Slope and Correlation 276

Model Assumptions and Violation 283

Chapter Summary 288

Introduction to Multivariate Relationships 301

Association and Casualty 301

Controlling for Other Variables 304

Types of Multivariate Relationships 307

Inferential Issues in Statistical Control 313

Chapter Summary 314

Multiple Regression and Correlation 321

The Multiple Regression Model 321

Example with multiple Regression Computer output 326

Multiple Correlation R 2 331

Inference for Multiple Regression Coefficients 335

Interactions Between Predictors in Their Effects 340

Comparing Regression Models 345

Partial Correlations 347

Standardized Regression Coefficients 351

Chapter Summary 354

Comparing Groups: Analysis of Variance(ANOVA) 369

Comparing Several Means: The Analysis of Variance F Test 369

Multiple Comparisons of Means 376

Performing ANOVA by Regression Modeling 378

Two-Way Analysis of Variance 382

Two-way ANOVA and Regression 386

Repeated Measures 391

Two-Way ANOVA with Repeated Measures on a Factors 395

Effects of Violations of ANOVA Assumption 400

Chapter Summary 402

Combining Regression and ANOVA: Quantitative and Categorical Predictors 413

Regression with Quantitative and Categorical Predictors 414

Permitting Interaction between Quantitative and Categorical Predictors 419

Inference for Regression with Quantitative and Categorical Predictors 422

Adjusted Means 426

Chapter Summary 433

Model Building with Multiple Regression 441

Model Selection Procedures 441

Regression Diagnostics 448

Effects of Multicollinearity 456

Generalized Linear Models 458

Nonlinear Relationships Polynomial Regression 462

Exponential Regression and Log Transforms 469

Chapter Summary 473

Logistic Regression: Modeling Categorical Responses 483

Logistic Regression 483

Multiple Logistic Regression 488

Inference for Logistic Regression Models 493

Logistic Regression Models for Ordinal Variables 496

Logistic Models for Normal Responses 501

Loglinear Relationship Models For Nominals Responses 503

Model Goodness-of -Fit Tests For Contingency Tables 507

Chapter Summary 511

An Introduction to Advanced Methodology 519

Longitudinal Data Analysis 519

Multilevel (Hierarchical) 523

Event History Models 524

Path Analysis 527

Factor Analysis 532

Structural Equation Models 537

Markov Chains 541

Appendix A: SPSS and S.A.S For Statistical Analysis 545

Appendix B: Answers to Selected Odd-Numbered Exercises 567

Tables 591

Bibliography 599

Index 604

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