Gentle Introduction to Stata, Fifth Edition

Heftet / 2016 / Engelsk

Produktdetaljer

ISBN13
9781597181853
Publisert
2016
Utgave
5. utgave
Utgiver
Vendor
Stata Press
Aldersnivå
05, U
Språk
Product language
Engelsk
Format
Product format
Heftet
Sider
546
Vekt
1134 gr
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Gentle Introduction to Stata, Fifth Edition

Heftet / 2016 / Engelsk
Alan C. Acock's A Gentle Introduction to Stata, Fifth Edition,is aimed at new Stata users who want to become proficient in Stata.After reading this introductory text, new users will be able not onlyto use Stata well but also to learn new aspects of Stata.Acock assumes that the user is not familiar with any statisticalsoftware. This assumption of a blank slate is central to the structureand contents of the book. Acock starts with the basics; for example,the portion of the book that deals with data management begins with acareful and detailed example of turning survey data on paper into aStata-ready dataset on the computer. When explaining how to go aboutbasic exploratory statistical procedures, Acock includes notes thatwill help the reader develop good work habits. This mixture ofexplaining good Stata habits and good statistical habits continuesthroughout the book.Acock is quite careful to teach the reader all aspects of using Stata.He covers data management, good work habits (including the use ofbasic do-files), basic exploratory statistics (including graphicaldisplays), and analyses using the standard array of basic statisticaltools (correlation, linear and logistic regression, and parametric andnonparametric tests of location and dispersion). He also successfullyintroduces some more advanced topics such as multiple imputation andstructural equation modeling in a very approachable manner. Acockteaches Stata commands by using the menus and dialog boxes while stillstressing the value of do-files. In this way, he ensures that alltypes of users can build good work habits. Each chapter has exercisesthat the motivated reader can use to reinforce the material.The tone of the book is friendly and conversational without ever beingglib or condescending. Important asides and notes about terminologyare set off in boxes, which makes the text easy to read without anyconvoluted twists or forward-referencing. Rather than splitting topicsby their Stata implementation, Acock arranges the topics as they wouldappear in a basic statistics textbook; graphics and postestimation arewoven into the material in a natural fashion. Real datasets, such asthe General Social Surveys from 2002 and 2006, are usedthroughout the book.The focus of the book is especially helpful for those in thebehavioral and social sciences because the presentation of basicstatistical modeling is supplemented with discussions of effect sizesand standardized coefficients. Various selection criteria, such assemipartial correlations, are discussed for model selection. Acockalso covers a variety of commands available for evaluating reliabilityand validity of measurements.The fifth edition of the book includes two new chapters that covermultilevel modeling and item response theory (IRT) models. Themultilevel modeling chapter demonstrates how to fit linear multilevelmodels using the mixed command. Acock discusses models withboth random intercepts and random coefficients, and he provides avariety of examples that apply these models to longitudinal data. TheIRT chapter introduces the use of IRT models for evaluating a set ofitems designed to measure a specific trait such as an attitude, value,or a belief. Acock shows how to use the irt suite of commands,which are new in Stata 14, to fit IRT models and to graph the results.In addition, he presents a measure of reliability that can be computedwhen using IRT.
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Getting started Conventions Introduction The Stata screen Using an existing dataset An example of a short Stata session Video aids to learning Stata 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 Save 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 Video tutorial related to this chapter Summary Exercises Bivariate correlation and regression Introduction to bivariate correlation and regression Scattergrams Plotting the regression line An alternative to producing a scattergram, binscatter Correlation Regression Spearman's rho: Rank-order correlation for ordinal data Power analysis with correlation Summary Exercises Analysis of variance The logic of one-way analysis of variance ANOVA example ANOVA example with nonexperimental data Power analysis for one-way ANOVA A nonparametric alternative to ANOVA Analysis of covariance Two-way ANOVA Repeated-measures design Intraclass correlation
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Produktdetaljer

ISBN13
9781597181853
Publisert
2016
Utgave
5. utgave
Utgiver
Vendor
Stata Press
Aldersnivå
05, U
Språk
Product language
Engelsk
Format
Product format
Heftet
Sider
546
Vekt
1134 gr
Se alle
Forfatter