Normal view MARC view

Applying regression and correlation: a guide for students and researchers

Author: Miles, Jeremy ; Shevlin, MarkPublisher: Sage, 2001.Language: EnglishDescription: 253 p. : Graphs/Ill. ; 24 cm.ISBN: 9780761962304Type of document: BookBibliography/Index: Includes bibliographical references and index
Tags: No tags from this library for this title. Log in to add tags.
Item type Current location Collection Call number Status Date due Barcode Item holds
Book Europe Campus
Main Collection
Print QA278.2 .M55 2001
(Browse shelf)
001232184
Available 001232184
Total holds: 0

Includes bibliographical references and index

Digitized

Applying Regression and Correlation A Guide for Students and Researchers Contents Preface PART I I NEED TO DO REGRESSION ANALYSIS TOMORROW vii 1 BUILDING MODELS WITH REGRESSION AND CORRELATION What are models? · Least squares models · A very simple model · The standard error of the mean · Modelling relationships · The standard error and significance of parameter estimates · Standardised estimates · Looking more at correlations · Correlations and scattergraphs · Correlations and variance · Correlations and size · Notes · Further reading 1 2 MORE THAN ONE INDEPENDENT VARIABLE -- MULTIPLE REGRESSION Introduction: multiple regression in theory · What's multiple regression all about? · Multiple regression in practice · R and R square · Adjusted R square · Analysis of variance (ANOVA) table · Coefficients · Variable entry · Hierarchical variable entry · Methods of variable entry · Note · Further reading 27 3 CATEGORICAL INDEPENDENT VARIABLES Introduction · Categorical data: a special case · The t-test as regression · ANOVA as regression · Coding schemes for categorical data · Notes · Further reading PART II I NEED TO DO REGRESSION ANALYSIS NEXT WEEK 40 4 ASSUMPTIONS IN REGRESSION ANALYSIS Introduction · Assumptions about measures · Levels of measurement · Conservative interpretation of assumptions · A more liberal approach · Assumptions about data · A bit about normal distributions · Univariate distribution checks · Outliers and the mean · Normal distribution · Detecting and dealing with non-normality · Calculation-based methods · Skew and kurtosis · Outliers · Dealing with outliers, skew and kurtosis · Dealing with outliers · Effects of univariate skew and kurtosis · Multivariate distributions · Assumption 1 · Assumption 2 · Assumption 3 · Assumption 4 · Time-series designs · Clustered sampling designs · Notes · Further reading 58 5 ISSUES IN REGRESSION ANALYSIS Causality · Association · Direction of causality · Isolation · The role of theory in determining causation · Sample size · Why should we worry about sample sizes? · Rules of thumb · Power analysis · Collinearity · What is collinearity? Detecting collinearity · Dealing with collinearity · Measurement error · Notes · Further reading PART III I NEED TO KNOW MORE OF THE THINGS THAT REGRESSION CAN DO 113 6 NON-LINEAR AND LOGISTIC REGRESSION Non-linear regression · Linear and curvilinear relationships · Generating a curve · Carrying out non-linear regression · An example of non-linear regression · Logistic regression · The case of the dichotomous dependent variable · The logit transformation · Using the logit: logistic regression · An annotated example of logistic regression · Hierarchical logistic regression · Polynomial logistic regression · Further reading 136 7 MODERATOR AND MEDIATOR ANALYSIS Introduction · Moderator analysis · Two categorical variables · Categorical and continuous variables · Two continuous predictors · Mediator analysis · Example of mediation · Some concluding points on moderation and mediation · Note · Further reading 165 8 INTRODUCING SOME ADVANCED TECHNIQUES: MULTILEVEL MODELLING AND STRUCTURAL EQUATION MODELLING Multilevel modelling (MLM) · Algebraic formulation · Hierarchies everywhere · Even more hierarchies · Structural equation modelling · Why use SEM? · Identification · Latent variables · Estimation in SEM · Model testing · Structural models · Programs for MLM and SEM · MLM software · SEM software · Notes · Further reading 192 Appendix 1 Equations Appendix 2 Doing regression with SPSS Appendix 3 Statistical tables References Name index Subject index 216 228 237 245 249 251

There are no comments for this item.

Log in to your account to post a comment.
Koha 18.11 - INSEAD Catalogue
Home | Contact Us | What's Koha?