Useful Research Books


  1. Babbie, E, 13th ed, The Practice of Social Research, Belmont, CA., Wadsworth Publishing
    This book is about research methods more than research methodology. It is an excellent book for researchers in social sciences, psychology, public administration, urban studies, communications, education, sociology, and political science. It includes 16 chapters, divided between 4 parts: (I) An Introduction to Inquiry, (II) The Structuring of Inquiry: Quantitative and Qualitative, (III) Modes of Observation: Quantitative and Qualitative, and (IV) Analysis of Data: Quantitative and Qualitative.

  2. Cresswell, J. W. , 3rd ed., Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Los Angeles: Sage
    This book enables researchers to compare and use three approaches to research: quantitative, qualitative, and mixed models- in a single research methods text. It examines these three approaches side by side within the research process, from the beginning steps of assumptions to the writing and presenting the research findings. This book is appropriate for graduate and undergraduate students taking research design and research methods classes in social and behavioral sciences.

  3. Neuman. W. L (2011) Social Research Methods: Qualitative and Quantitative Approaches, 7th ed., Boston: Allyn & Bacon
    This book is about research methodology more than research methods. Its emphasis is to understand the entire research process, in contrast to research methods which are techniques of research design, measurement, data collection, and data analysis. It includes 16 chapters, divided between 5 parts: (I) Foundations, (II) Planning and Preparation, (III) Quantitative Data Collection and Analysis, (IV) Qualitative Data Collection and Analysis, and (V) Communicating with Others. The book presents a comprehensive and balanced introduction to both quantitative and qualitative approaches for social research, and highlights where the two approaches overlap and where they differ.

  4. Categorical Data Analysis by Alan Agresti, 3rd edition. Published by Wiley.
    This book provides an overview of methods for analyzing categorical data. It gives special emphasis to generalized linear modeling techniques, which extend linear model methods for continuous variables, and their extensions for multivariate responses. Core methods for analyzing categorical response variable are covered, including two-way contingency tables, logistic regression, and related models such as the probit model for binary and multicategory response variables. In addition to the core methods of categorical data analysis, the author explores a new area of research covering repeated measurements and other forms of clustered categorical data.

  5. Milliken, G. & Johnson, D. (2004) Analysis of Messy Data Volume 1: Designed Experiments. Second Edition. Chapman and Hall/
    This book is an excellent reference for designed experiments. It covers several techniques for multiple comparison procedures including random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors distinguish between the design structure and treatment structure of any experiment, making the appropriate statistical analysis easier to implement. Examples and case studies are included with each topic, making the material easy to understand, and the techniques are implemented with the statistical software package SAS.

  6. Abhaya Indrayan , Medical Biostatistics, 2nd Edition, CRC Press, 2008.
    This book emphasizes statistical concepts used in medicine with detailed discussion of methods used and interpretation of statistical results. It shows how bio-statistical methods are important tools in managing uncertainties in medicine and the health sciences. With coverage ranging from elementary topics, such as mean and standard deviation, to advanced approaches, such as logistic regression, multivariate methods, survival analysis, clinical trials, observational studies, and clinimetrics, this is an excellent biostatistics reference.