Gentle Introduction to Stata, Revised Third Edition

Name: Gentle Introduction to Stata, Revised Third Edition
Price: 5.88 USD
Availability: InStock
ISBN: 9781597181099

ISBN-10: 1597181099

ISBN-13: 9781597181099

Edition: 3rd 2012 (Revised)

Authors: Alan C. Acock

List price: $79.95

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Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Editioncontinues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses.New to the Third EditionA new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVAAdditional material on the application of power analysisThe book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array…

Book details

List price: $79.95
Edition: 3rd
Copyright year: 2012
Publisher: StataCorp LLC
Publication date: 3/12/2012
Binding: Paperback
Pages: 401
Size: 7.50" wide x 9.50" long x 1.25" tall
Weight: 1.892
Language: English

Alan Acock (Ph.D., Washington State University) is Professor and former Chair of Human Development and Family Sciences at Oregon State University. He has also taught at Louisiana State University, Virginia Tech, and the University of Southern California. Alan has published 4 books, 20 book chapters, and 120 articles. He is a Fellow of the National Council on Family Relations, a winner of the Reuben Hill Award, several awards for teaching, and his book on Family Diversity and Well-Being received the 1995 Choice Award for Outstanding Academic Book. Alan has held elected offices in the American Sociological Association and the National Council on Family Relations. His substantive research has…



List of tables


List of figures


Preface


Support materials for the book



Getting started



Conventions



Introduction



The Stata screen



Using an existing dataset



An example of a short Stata session



Summary



Exercises



Entering data



Creating a dataset



An example questionnaire



Developing a coding system



Entering data using the Data Editor



Value labels



The Variables Manager



The Data Editor (Browse) view



Saving your dataset



Checking the data



Summary



Exercises



Preparing data for analysis



Introduction



Planning your work



Creating value labels



Reverse-code variables



Creating and modifying variables



Creating scales



Saving some of your data



Summary



Exercises



Working with commands, do-files, and results



Introduction



How Stata commands are constructed



Creating a do-file



Copying your results to a word processor



Logging your command file



Summary



Exercises



Descriptive statistics and graphs for one variable



Descriptive statistics and graphs



Where is the center of a distribution?



How dispersed is the distribution?



Statistics and graphs unordered categories



Statistics and graphs ordered categories and variables



Statistics and graphs quantitative variables



Summary



Exercises



Statistics and graphs for two categorical variables



Relationship between categorical variables



Cross-tabulation



Chi-squared test



Degrees of freedom



Probability tables



Percentages and measures of association



Odds ratios when dependent variable has two categories



Ordered categorical variables



Interactive tables



Tables linking categorical and quantitative variables



Power analysis when using a chi-squared test of significance



Summary



Exercises



Tests for one or two means



Introduction to tests for one or two means



Randomization



Random sampling



Hypotheses



One-sample test of a proportion



Two-sample test of a proportion



One-sample test of means



Two-sample test of group means



Testing for unequal variances



Repeated-measures t test



Power analysis



Nonparametric alternatives



Mann-Whitney two-sample rank-sum test



Nonparametric alternative: Median test



Summary



Exercises



Bivariate correlation and regression



Introduction to bivariate correlation and regression



Scattergrams



Plotting the regression line



Correlation



Regression



Spearman's rho: Rank-order correlation for ordinal data



Summary



Exercises



Analysis of variance



The logic of one-way analysis of variance



ANOVA example



ANOVA example using survey data



A nonparametric alternative to ANOVA



Analysis of covariance



Two-way ANOVA



Repeated-measures design



Intraclass correlation measuring agreement



Summary



Exercises



Multiple regression



Introduction to multiple regression



What is multiple regression?



The basic multiple regression command



Increment in R-squared: Semipartial correlations



Is the dependent variable normally distributed?



Are the residuals normally distributed?



Regression diagnostic statistics



Outliers and influential cases



Influential observations: DFbeta



Combinations of variables may cause problems



Weighted data



Categorical predictors and hierarchical regression



A shortcut for working with a categorical variable



Fundamentals of interaction



Power analysis in multiple regression



Summary



Exercises



Logistic regression



Introduction to logistic regression



An example



What is an odds ratio and a logit?



The odds ratio



The logit transformation



Data used in the rest of the chapter



Logistic regression



Hypothesis testing



Testing individual coefficients



Testing sets of coefficients



Nested logistic regressions



Power analysis when doing logistic regression



Summary



Exercises



Measurement, reliability, and validity



Overview of reliability and validity



Constructing a scale



Generating a mean score for each person






Stability and test-retest reliability



Equivalence



Split-half and alpha reliability internal consistency



Kuder-Richardson reliability for dichotomous items



Rater agreement kappa (ï¿½)



Validity



Expert judgment



Criterion-related validity



Construct validity



Factor analysis



PCF analysis



Orthogonal rotation: Varimax



Oblique rotation: Promax



But we wanted one scale, not four scales



Scoring our variable



Summary



Exercises



Working with missing values multiple imputation



The nature of the problem



Multiple imputation and its assumptions about the mechanism for missingness



What variables do we include when doing imputations?



Multiple imputation



A detailed example



Preliminary analysis



Setup and multiple-imputation stage



The analysis stage



For those who want an R<sup>2</sup> and standardized ï¿½s



When impossible values are imputed



Summary



Exercises



What's next?



Introduction to the appendix



Resources



Web resources



Books about Stata



Short courses



Acquiring data



Summary


References


Author index


Subject index