Showing results for "peter lynn"
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Improving Survey Methods
Lessons from Recent Research
2014
EN
Accessible
This state-of-the-art volume provides insight into the recent developments in survey research. It covers topics like: survey modes and response effects, bio indicators and paradata, interviewer and survey error, mixed-mode panels, sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. The authors are leading scientists in the field, and discuss the latest methods and challenges with respect to these topics.Each of the boo...
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Qualitative Research
Studying How Things Work
2010
EN
This book provides invaluable guidance for thinking through and planning a qualitative study. Rather than offering recipes for specific techniques, master storyteller Robert Stake stimulates readers to discover "how things work" in organizations, programs, communities, and other systems. Topics range from identifying a research question to selecting methods, gathering data, interpreting and analyzing the results, and producing a well-thought-through written report. In-depth examples from a...
When Research Goes Off the Rails
Why It Happens and What You Can Do About It
2011
EN
Few behavioral or health science studies proceed seamlessly. This refreshingly candid guide presents firsthand vignettes of obstacles on the bumpy road of research and offers feasible, easy-to-implement solutions. Contributors from a range of disciplines describe real-world problems at each stage of a quantitative or qualitative research project—from gaining review board approval to collecting and analyzing data—and discuss how these problems were resolved. A detailed summary chart helps r...
Structural Equation Modeling with Mplus
Basic Concepts, Applications, and Programming
2013
EN
Accessible
Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:
Writing the Qualitative Dissertation
Understanding by Doing
2001
EN
The purpose of this book is to share, in rich detail, an understanding of how it feels and what it means to do qualitative research, and to provide support for doctoral students who choose this form of inquiry for their dissertation research.
Introductory Statistics
A Conceptual Approach Using R
2013
EN
Accessible
This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. ...
Evaluation in Distance Education and E-Learning
The Unfolding Model
2008
EN
With the rapid proliferation of distance education and e-learning courses, the need is growing for a comprehensive, professional approach to evaluating their effectiveness. This indispensable book offers a road map to guide evaluation practice in these innovative learning environments. Providing practical, step-by-step guidelines and tools for conducting evaluation studies—including how to deal with stakeholders, develop surveys and interview protocols, collect other scientific evidence, a...
Teachers Doing Research
The Power of Action Through Inquiry
2000
EN
This popular text describes the processes of doing teacher action research. But it is much more than a dry presentation of "methods." Filled with examples of teacher action research projects, provided by teachers themselves, the book places teachers at the heart of the action research process. Teachers' own writing about their work and research questions is featured in 11 examples of teacher action research conducted in a range of settings, grade levels, and content areas.The secon...
Evaluation in the Face of Uncertainty
Anticipating Surprise and Responding to the Inevitable
2011
EN
Unexpected events during an evaluation all too often send evaluators into crisis mode. This insightful book provides a systematic framework for diagnosing, anticipating, accommodating, and reining in costs of evaluation surprises. The result is evaluation that is better from a methodological point of view, and more responsive to stakeholders. Jonathan A. Morell identifies the types of surprises that arise at different stages of a program's life cycle and that may affect different aspects o...
2013
EN
Accessible
Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied s...
Interviewing for Qualitative Inquiry
A Relational Approach
2013
EN
Engagingly written, this book builds the reader's skills for conducting in-depth interviews designed to address a particular research question. With an emphasis on the dynamics of the research relationship, Ruthellen Josselson artfully demonstrates the steps of a successful interview. Each step is illustrated with excerpts from interviews on diverse topics. The book describes how to structure interviews effectively, develop questions that elicit meaningful narratives, cultivate skills for ...
What If There Were No Significance Tests?
Classic Edition
- Series -
- Multivariate Applications Series
2016
EN
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitat...











