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Angewandte Statistik mit Statistiken: Ein Leitfaden für die Sozialwissensc
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eBay-Artikelnr.:176168851955
Artikelmerkmale
- Artikelzustand
- Binding
- Paperback
- Product Group
- Book
- Weight
- 1 lbs
- Subject
- Social Sciences
- IsTextBook
- No
- ISBN
- 9781473913233
Über dieses Produkt
Product Identifiers
Publisher
SAGE Publications, The Limited
ISBN-10
1473913233
ISBN-13
9781473913233
eBay Product ID (ePID)
234965130
Product Key Features
Number of Pages
376 Pages
Language
English
Publication Name
Applied Statistics Using Stata : a Guide for the Social Sciences
Subject
Probability & Statistics / General, Research
Publication Year
2016
Type
Textbook
Subject Area
Mathematics, Social Science
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
16 Oz
Item Length
9.5 in
Item Width
6.8 in
Additional Product Features
Intended Audience
College Audience
Dewey Edition
23
Reviews
This book addresses in an entertaining and instructive way multivariate analysis in the context of the Stata program. Well structured in relation to the themes and the main techniques of multivariate analysis, it is an easy-to-read book that helps you not only with statistics but also with using stata in investigations. , Practically orientated with a plethora of examples and an engaging narrative, this book is a must have for all those studying applied social statistics., This book provides an extraordinary and very readable account of the applied statistics methods needed in the social sciences. With its captivating didactical exposition, the book will be an invaluable resource for the novice as well as the advanced researcher., I believe this is an excellent textbook for methods at the Master's level. The sample of methods and approaches is very good. In addition to treating the "ordinary" techniques like linear and logistic regression, the book also deals with multilevel analysis, panel data analysis, factor analysis, and structural equation model. This covers the quantitative methods that are relevant for today's Master's students. The material is presented at an acceptable advanced level where the necessary formulas are presented, and at the same time explained in an accessible manner. The highlighting of how to perform an analysis combined with examples from Stata makes the material easy to access for the students. This is definitely a book that I would like to use in my teaching., Stata users, especially social scientists, will find helpful advice in fitting statistical models to a diverse set of examples encountered when investigating the complexity and subtlety of real data. The authors emphasize the importance of assumptions behind the models and present clear exposition of the tools embedded in Stata to test these assumptions.
Dewey Decimal
519.50285555
Table Of Content
Research and statistics1.1 The methodology of statistical research1.2 The statistical method1.3 The logic behind statistical inference1.4 General laws and theories1.5 Quantitative research papers2. Introduction to Stata2.1 What is Stata?2.2 Entering and importing data into Stata2.3 Data management2.4 Descriptive statistics and graphs2.5 Bivariate inferential statistics3. Simple (bivariate) regression3.1 What is regression analysis?3.2 Simple linear regression analysis3.3 Example in Stata4. Multiple regression4.1 Multiple linear regression analysis4.2 Example in Stata5. Dummy-Variable Regression5.1 Why dummy-variable regression?5.2 Regression with one dummy variable5.3 Regression with one dummy variable and a covariate5.4 Regression with more than one dummy variable5.5 Regression with more than one dummy variable and a covariate5.6 Regression with two separate sets of dummy variables6. Interaction/moderation effects using regression6.1 Interaction/moderation effect6.2 Product-term approach7. Linear regression assumptions and diagnostics7.1 Correct specification of the model7.2 Assumptions about residuals7.3 Influential observations8. Logistic regression8.1 What is logistic regression?8.2 Assumptions of logistic regression8.3 Conditional effects8.4 Diagnostics8.5 Multinomial logistic regression8.6 Ordered logistic regression9. Multilevel analysis9.1 Multilevel data9.2 Empty or intercept-only model9.3 Variance partition / intraclass correlation9.4 Random intercept model9.5 Level-2 explanatory variables9.6 Logistic multilevel model9.7 Random coefficient (slope) model9.8 Interaction effects9.9 Three-level models10. Panel data analysis10.1 Panel data10.2 Pooled OLS10.3 Between effects10.4 Fixed effects (within estimator)10.5 Random effects10.6 Time-series cross-section methods10.7 Binary dependent variables11. Exploratory factor analysis11.1 What is factor analysis?11.2 Factor analysis process11.3 Composite scores and reliability test11.4 Example in Stata12. Structural equation modelling and confirmatory factor analysis12.1 What is structural equation modelling?12.2 Confirmatory factor analysis12.3 Latent path analysis13. Critical issues13.1 Transformation of variables13.2 Weighting cases13.3 Robust regression13.4 Missing data
Synopsis
Assiduously combining theory with plenty of practical, technical advice - and accompanied by original case studies and data sets - this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs., Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the 'why' of statistics and the 'how'. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed., Clear, intuitive and written with the student in mind, this book demonstrates the 'why' and the 'how' of statistics, carefully combining conceptual aspects with detailed technical advice. Focusing on questions that can be answered using statistics, it addresses common themes and problems in a straightforward manner and with the use of State software. Built upon engaging examples from across the social sciences, it provides a rich collection of statistical methods and models that encourage students to see the impact of theory and learn how to manipulate software to meet their needs. It also includes: original case studies and datasets, practical guidance on running and testing models in Stata, downloadable Stata programmes created to work alongside chapters, detailed applications using Stata, step-by-step notes on writing relevant code, This excellent text will give anyone doing social science statistics research the theoretical, technical and applied knowledge needed to succeed. Book jacket.
LC Classification Number
QA276.45
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