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A gentle introduction to Stata / Alan C. Acock, Oregon State University

By: Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: College Station, Texas : Stata Press, 2016Edition: 5th editionDescription: xxxvi, 546 Seiten : Illustrationen, DiagrammeISBN:
  • 1597181854
  • 9781597181853
Subject(s): MSC: MSC: *62-01 | 62-04 | 62P25RVK: RVK: MR 2200 | MR 2100 | ST 600 | QH 212 | QH 234 | ST 273 | ST 601LOC classification:
  • HA32
Summary: A Gentle Introduction to Stata, Fifth Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset and perform fundamental statistical analyses. This book is organized like the unfolding of a research project. You begin by learning how to enter and manage data and how to do basic descriptive statistics and graphical analysis. Then, you learn how to perform standard statistical procedures from t tests, nonparametric tests, and measures of association through ANOVA, multiple regression, and logistic regression. Readers who have experience with another statistical package may benefit more by reading chapters selectively and referring to this book as needed. The fifth edition has incorporated numerous changes that were new with Stata 14. Menus have been updated, and several minor changes and corrections have been included based on suggestions from readers. There are new chapters that introduce multilevel longitudinal models and item response theory (IRT)--Back coverSummary: Getting started -- Entering data -- Preparing data for analysis -- Working with commands, do-files, and results -- Descriptive statistics and graphs for one variable -- Statistics and graphs for two categorical variables -- Tests for one or two means -- Bivariate correlation and regression -- Analysis of variance -- Multiple regression -- Logistic regression -- Measurement, reliability, and validity -- Working with missing values - multiple imputation -- The sem and gsem commands -- An introduction to multilevel analysis -- Item response theory (IRT)Call number: Grundsignatur: 2017 A 2227(5)PPN: PPN: 857302183
Holdings
Item type Home library Call number Copy number Status Date due Barcode
Handbibliothek Fakultät für Wirtschaftswissenschaften 2017 A 2227(5) ;b Checked out Ausleihe und Einsicht nicht möglich 18.01.2038 53114695090
Total holds: 0
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