Recommended resources (online tutorials and books) for social science data analysis, complied by software packages and level of proficiency.
Last Updated: Sep 23, 2013
Where to find the data for your analysis?
Social Science Data Services is located in the Government Information Department - find us here (below). You are also welcome to set an appointment.
There is no workshop scheduled. For other workshops and events in the library, please visit the library calendar.
Books are ordered by the depth of covered topics. These books are not on statistical theories per se, but are of great practical value in social science research.
The Practice of Social Research
Call Number: New Edition Coming Soon
The book is a comprehensive, straightforward introduction to the field of research as practiced by social scientists. It emphasizes the research process by demonstrating how to design research studies, introducing the various observation modes in use today, and answering questions about research methods--such as how to conduct online surveys, and analyze both qualitative and quantitative data.
Investigating the Social World: The Process and Practice of Research
Call Number: Soon
The book provides clear identification of key issues in research design (i.e. measurement, sampling and causation) as well as major data collection techniques. Excellent balance between qualitative and quantitative methods. Integration of research ethics with the pertinent methodological topics.
Foundations of Behavioral Statistics
Call Number: 150.15195 T468f
Bruce Thompson shows readers how to use the latest techniques for interpreting research outcomes as well as how to make statistical decisions that result in better research.
Thompson integrates a broad array of methods involving only a single dependent variable, ranging from classical and robust location descriptive statistics, through effect sizes, and on through ANOVA, multiple regression, loglinear analysis and logistic regression
. Special features include SPSS and Excel demonstrations that offer opportunities, in the book’s datasets and on Thompson’s website
Linear mixed models: a practical guide using statistical software
Call Number: NUL Ebook
This easy-to-use resource provides a clear explanation of mixed modeling techniques and theories and demonstrates the use of five popular statistical software procedures (SAS, SPSS, Stata, R/S-plus, and HLM) for fitting linear mixed models (LMMs) using real-world data.
The authors fit LMMs based on both general and hierarchical model specifications, develop the model-building process step-by-step, and demonstrate the estimation, testing, and interpretation of fixed-effect parameters and covariance parameters associated with random effects.
Longitudinal and panel data: analysis and applications in the social sciences
Call Number: NUL Ebook
Focusing on an analysis of models and data that arise from repeated observations of a cross-section of individuals, households or firms, this book also covers important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also demonstrates substantive applications from across the social sciences. These applications are enhanced by real-world data sets and software programs in SAS and Stata.
Data analysis using regression and multilevel/hierarchical models
Call Number: 519.536 G319d
The book carefully designs its approach, starting from single-level then to multi-level models, also provides the methodologies with broad practical examples (using R) and graphical displays. It gives useful guidance for social scientist and other applied statisticians into linear regression, logistic regression, GLM, and hierarchical models.
Analysis of Financial Time Series
Call Number: 332.01519 T877a
An introductory book provides theoretical concepts on time series analysis with plenty of intuitive insight of how exactly these models work. It covers a comprehensive and systematic account of financial econometric models: classic one-factor linear models (AR, MA, ARMA, Unit-root, ARCH, VAR, etc), and also multi-factor models and non-linear models. New edition adds chapters for PCA and MCMC too.
Dyadic Data Analysis
Call Number: Not in NUL
Dyadic data is a commonly found data structure in social psychology and social relations research. The authors describe and demonstrate several statistical methods, including multilevel and structural equation modeling approaches.
A Guide to Econometrics
Call Number: 330.0151 K36g 2008
One of the best understandable econometrics books. Excellent discussions on classical linear regression model, and also explanations on other quatitative methods: survival models, Bayesian approach, panel data, neural networks, time series, etc.