Qualitative Data Analysis
Call Number: JS Gericke Library Lower Level (300.721 BAZ)
Publication Date: 2013-03-06
An overview to analysing qualitative data, addressing stages: (1) designing and managing qualitative data for analysis (2) working with data through interpretive, comparative, pattern and relational analyses (3) developing explanatory theory and coherent conclusions, based on qualitative data.
Qualitative Data Analysis from Start to Finish
Call Number: Available at JS Gericke Library Lower level (001.42 HAR)
Publication Date: 2013-03-06
This book takes the reader on a step by step journey through the different stages of analysis, from first reading transcripts to presenting findings in a report or dissertation. For each stage of the process there are demonstrations using real data and exercises for the reader to perform. While acknowledging that there are many different forms that qualitative data analysis can take, the book provides a series of ideas and examples that readers will find helpful when analysing their own data.
Multivariate Data Analysis
Call Number: Short Loans
Publication Date: 2009-02-13
This book provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. New chapters address structural equations modeling, and all sections reflect advances in technology, capability, and mathematical techniques.
SPSS Survival Manual
Call Number: Available at JS Gericke Library Upper Level (519.50285536 PAL )
Publication Date: 2010-11-01
The SPSS Survival Manual simplifies statistics and data analysis, guiding you through the entire research process and helping you to choose the right statistical technique for your project.
Adventures in Social Research
Call Number: Available at JS Gericke Library Research Commons (RCOM 300.285555 ADV )
Publication Date: 2010-07-28
A hands-on workbook encouraging students to practice SPSS as they read about it and provides a practical, hands-on introduction to conceptualization, measurement, and association through active learning. Arranged to parallel most introductory research methods texts, this text starts with an introduction to computerised data analysis and the social research process, then walks readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics.
An R Companion to Linear Statistical Models
Call Number: JS Gericke Library Upper Level (519.50285 HAY )
Publication Date: 2011-10-19
Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.
Examples of how to write programs using the R programming language are provided. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures.
Understanding the New Statistics
Call Number: JS Gericke Library Lower Level (300.727 CUM )
Publication Date: 2011-07-14
This book introduces the new statistics - effect sizes, confidence intervals, and meta-analysis. Practical examples and tips are provided on how to analyze and report research results using these techniques. Of interest in terms of meeting the new APA Publication Manual guidelines by adopting the new statistics.
The Handbook of Advanced Multilevel Analysis
Call Number: JS Gericke Library Upper Level (519.536 HAN )
Publication Date: 2010-07-19
Addresses the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets.