Statistics for the Social Sciences
Do your students lack confidence in their ability to handle quantitative work? Are they unsure about how best to use SAS, SPSS, and Excel programs? The new edition of the bestselling textbook Statistics for the Social Sciences is the solution. The previous editions of this book were popular with instructors because they helped build students' confidence and ability in doing statistical analysis, by slowly moving from concepts that require little computational work to those that require more. In this new edition, author R. Mark Sirkin demonstrates how statistics can be used so that the students come to appreciate their usefulness rather than fearing them.Key Features of the Third Edition:''- An emphasis on the analysis and interpretation of data giving students a feel for how data interpretation is related to the methods by which the data was obtained- A wide range of examples from various fields in the social sciences demonstrate the role of statistical analysis in the research process- Coverage of the scientific method and how each statistical technique relates to the larger field of research - Emphasis on the interpretation of tables helping students master a topic that often proves challenging- Plenty of exercises are provided at the end of chapters so that students can practise all the statistical procedures covered- Answers to selected questions appear at the end of the book with complete worked-out solutions- Additional exercises have been added to reflect the additional computer coverage- User-friendly ways of navigating the text - key concepts are introduced and highlighted within the text, with definitions provided in boxes at the foot of each page- A handy glossary of all the the key concepts and terms in provided at the back of the book as an aid to revision- New tools to teach students how to do analysis not only through SAS and SPSS, but also using Excel descriptive statistics featuresThis book will be invaluable for upper level undergraduate students and graduate students across the social sciences. An Instructor's CD-ROM containing data sets, Powerpoint slides, exercises and answers will be available free-of-charge to professors adopting this text.
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Levels of Measurement and Forms of Data
Measuring Central Tendency
Constructing and Interpreting Contingency Tables
Statistical Inference and Tests of Significance
TwoSample t Tests
Correlation and Regression Analysis
Significance of r
Multiple Correlation and
The Standardized Partial Regression Slope
Proportions of Area
Other editions - View all
05 level ABOR analysis of variance ANOVA assign assume Attitude calculate category means cell central tendency chapter chi-square class interval Click ok cloudy column conclude control variable Corruption Perceptions Index critical values curve degrees of freedom dependent difference equation estimate example Exercise Figure formula frequency distribution gamma GDP/Capita gender grand mean graph income independent variable indicated interval-level JLIB lambda level of measurement linear measures of association nominal normally distributed Note null hypothesis one-sample z test one-tailed ordinal pairs partial correlation Pearson percentages Political Rights predict printout probability problem procedure proportion R. A. Fisher rain rainfall random sample reject H0 reject the null relationship sample means sampling distribution scale scores selected skewness sky conditions SPSS standard deviation statistical significance sum of squares Suppose Table techniques test of significance Total two-sample t test units of analysis zero