Applied statistics using Stata : a guide for the social sciences /: a guide for the social sciences. (2016)

• Record Type: Book
• Further Information: Note: Mehmet Mehmetoglu, Tor Georg Jakobsen.
• Authors: Mehmetoglu, Mehmet; Jakobsen, Tor G
• Contents: Research and statistics; 1.1The methodology of statistical research; 1.2The statistical method; 1.3The logic behind statistical inference; 1.4General laws and theories; 1.5Quantitative research papers; 2.Introduction to Stata; 2.1What is Stata?; 2.2Entering and importing data into Stata; 2.3Data management; 2.4Descriptive statistics and graphs; 2.5Bivariate inferential statistics; 3.Simple (bivariate) regression; 3.1What is regression analysis?; 3.2Simple linear regression analysis; 3.3Example in Stata; 4.Multiple regression; 4.1 Multiple linear regression analysis; 4.2 Example in Stata; 5.Dummy-Variable Regression; 5.1Why dummy-variable regression?; 5.2Regression with one dummy variable; 5.3Regression with one dummy variable and a covariate; 5.4Regression with more than one dummy variable; 5.5Regression with more than one dummy variable and a covariate; 5.6Regression with two separate sets of dummy variables; 6.Interaction/moderation effects using regression; 6.1Interaction/moderation effect; 6.2Product-term approach; 7.Linear regression assumptions and diagnostics; 7.1Correct specification of the model; 7.2Assumptions about residuals; 7.3Influential observations; 8.Logistic regression; 8.1What is logistic regression?; 8.2Assumptions of logistic regression; 8.3Conditional effects; 8.4Diagnostics; 8.5Multinomial logistic regression; 8.6Ordered logistic regression; 9.Multilevel analysis; 9.1Multilevel data; 9.2Empty or intercept-only model; 9.3Variance partition / intraclass correlation; 9.4Random intercept model; 9.5Level-2 explanatory variables; 9.6Logistic multilevel model; 9.7Random coefficient (slope) model; 9.8Interaction effects; 9.9Three-level models; 10.Panel data analysis; 10.1Panel data; 10.2Pooled OLS; 10.3Between effects; 10.4Fixed effects (within estimator); 10.5Random effects; 10.6Time-series cross-section methods; 10.7Binary dependent variables; 11.Exploratory factor analysis; 11.1What is factor analysis?; 11.2Factor analysis process; 11.3Composite scores and reliability test; 11.4 Example in Stata; 12.Structural equation modelling and confirmatory factor analysis; 12.1What is structural equation modelling?; 12.2Confirmatory factor analysis; 12.3Latent path analysis; 13.Critical issues; 13.1Transformation of variables; 13.2Weighting cases; 13.3Robust regression; 13.4 Missing data;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 519.50285555; Statistics -- Data processing; Social sciences -- Research -- Statistical methods -- Computer programs
• Languages: English
• ISBNs: 9781473987906; 9781473987142
• Related ISBNs: 9781473913226; 9781473913233
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.