This is my go to resource when I need to better understand specific research methodologies, decide which methods work best for my research project or understand why a researcher chose a one method to test their data over another.
There is also a helpful project planner to guide you through the research process.
Sage Research Methods is the ultimate methods library with more than 1000 books, reference works, journal articles, and instructional videos by world-leading academics from across the social sciences, including the largest collection of qualitative methods books available online from any scholarly publisher. The site is designed to guide users to the content they need to learn a little or a lot about their method. The Methods Map can help those less familiar with research methods to find the best technique to use in their research. Built upon Sage’s legacy of methods publishing, Sage Research Methods is the essential online tool for researchers.
They explain why the researchers chose the methods they did, how they overcame problems in their research and what they might have done differently with hindsight: the realities of research that are missing from journal articles and textbooks. Cases are peer-reviewed and come with pedagogical tools including learning objectives and discussions questions. They can be used as a teaching tool to demonstrate a particular method and how it is applied in real research, or as inspiration to students who are preparing for their own research project."
The Libraries have access to Parts 1, 2, and Medicine and Health. Browse by method, discipline, or academic level.
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
The research articles in this volume cover timely; quantitative psychology topics, including ;new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling.
The Reviewer's Guide to Quantitative Methods in the Social Sciencesis designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail.
Call Number: UCF Main Library General Collection - 1st Floor -- BF39.S24 2009
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- Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance.
- Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis.
- Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next.
- Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis.
- Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models.
- Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis.
- Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
Call Number: UCF ONLINE General Collection -- BF76.5 2007
"Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods."
Call Number: UCF ONLINE General Collection -- BF76.5 .D628 2012
Coming Up with a Research Question -- Planning & Ethics -- Managing the Project -- Doing a Literature Review -- Collecting Your Data -- Analysing Your Data -- Evaluating Qualitative Research -- Writing Up a Qualitative Project
Fundamentals of Qualitative Research approaches qualitative inquiry as a strategically selected composite of genres, elements, and styles. This book presents a concise yet rigorous description of how to design and conduct fieldwork projects and how to examine data in multiple ways for interpretive insight.
The authors--noted scholars and researchers--provide an up-to-date guide to qualitative study design, data collection, analysis, and reporting. Step by step, the authors explain a range of methodologies and methods for conducting qualitative research focusing on how they are applied when conducting an actual study.
This book provides a useful guide for researchers, reviewers, and consumers who are charged with judging the quality of qualitative studies. For ease of use, all methodological chapters are organized around the following elements of inquiry which reviewers tend to examine: definition, sampling, data collection, data analysis, representation, and congruency.
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"This handbook covers the qualitative methods used in psychology combining 'how-to-do-it' summaries with examination of historical and theoretical foundations. Examples from recent research are used to illustrate how each method has been applied, the data analysed and the insights gained. The Handbook is divided into three parts.
- Part 1: Methodologies each chapter offers an up-to-date review of a specific methodology, each written by authors with considerable experience in using them.
- Part 2: Perspectives & Approaches includes chapters on Ethical Issues in Qualitative Research, key alternative standpoints such as Feminism and Post-Colonialism, the use of computer technologies and the internet in qualitative research.
- Part 3: Applications contains reviews of qualitative methods as used in nine of psychology's subdisciplines, each demonstrating the ways in which context interacts with methodological concerns."