Statistical Methods for the Social Sciences
ISBN: 9780130272959 | 0130272957
Edition: 4THFormat: Hardcover
Publisher: Pearson
Pub. Date: 12/28/2007
Why Rent from Knetbooks?
Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!
Top 5 reasons to order all your textbooks from Knetbooks:
- We have the lowest prices on thousands of popular textbooks
- Free shipping both ways on ALL orders
- Most orders ship within 48 hours
- Need your book longer than expected? Extending your rental is simple
- Our customer support team is always here to help
The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra).The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least... MORE
| Introduction | |
| Introduction to statistical methodology | |
| Descriptive statistics and inferential statistics | |
| The role of computers in statistics | |
| Chapter summary | |
| Sampling and Measurement | |
| Variables and their measurement | |
| Randomization | |
| Sampling variability and potential bias | |
| other probability sampling methods | ... MORE|
| Chapter summary | |
| Descriptive statistics | |
| Describing data with tables and graphs | |
| Describing the center of the data | |
| Describing variability of the data | |
| Measure of position | |
| Bivariate descriptive statistics | |
| Sample statistics and population parameters | |
| Chapter summary | |
| Probability Distributions | |
| Introduction to probability | |
| Probablitity distributions for discrete and continuous variables | |
| The normal probability distribution | |
| Sampling distributions describe how statistics vary | |
| Sampling distributions of sample means | |
| Review: Probability, 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 | |
| Steps of a significance test | |
| Significance test for a eman | |
| 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 groups | |
| Categorical data: comparing two proportions | |
| Quantitative data: comparing two means | |
| Comparing means with dependent samples | |
| Other methods for comparing means | |
| Other methods for comparing proportions | |
| Nonparametric statistics for comparing groups | |
| Chapter summary | |
| Analyzing Association between Categorical Variables | |
| Contingency Tables | |
| Chi-squared test of independence | |
| Residuals: Detecting the pattern of association | |
| Measuring association in contingency tables | |
| Association between ordinal variables | |
| 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 | |
| Inference for the slope and correlation | |
| Model assumptions and violations | |
| Chapter summary | |
| Introduction to multivariate Relationships | |
| Association and causality | |
| Controlling for other variables | |
| Types of multivariate relationships | |
| Inferenential issus in statistical control | |
| Chapter summary | |
| Multiple Regression and Correlation | |
| Multiple regression model | |
| Example with multiple regression computer output | |
| Multiple correlation and R-squared | |
| Inference for multiple regression and coefficients | |
| Interaction between predictors in their effects | |
| Comparing regression models | |
| Partial correlation | |
| Standardized regression coefficients | |
| Chapter summary | |
| Comparing groups: Analysis of Variance (ANOVA) methods | |
| Comparing several means: One way analysis of variance | |
| Multiple comparisons of means | |
| Performing ANOVA by regression modeling | |
| Two-way analysis | |
| Table of Contents provided by Publisher. All Rights Reserved. |
Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and four texts including "Statistics: The Art and Science of Learning From Data" (with Christine Franklin, Prentice Hall, 2nd edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.
