This accessible, hands-on text has now been revised and updated, with expanded coverage of topics including how theory may emerge from exploratory data analysis. The book prepares graduate students, new researchers, and even seasoned investigators to develop their own theories and build on existing ones. Concrete strategies are provided to help readers generate ideas, define constructs, and think through relationships and processes that link constructs. Compelling examples from multiple disciplines illustrate the use of quantitative, qualitative, and mixed methods orientations to theory construction. The text also offers practical advice for writing effectively about theories in papers and grant applications. Readers learn by doing via application and concept exercises, demonstration boxes, and practical guidelines. The extensive companion website includes (www.theory-construction.com) PowerPoint slides of all of the book’s figures, primers on advanced topics, video demonstrations, supplemental exercises, and other resources. New to This Edition *Emergent theory is now covered in mixed methods as well as qualitative approaches, plus in a new chapter on exploratory quantitative methods that can help generate new theory through data mining. *Chapter on whether and how to revise a theory when faced with disconfirmatory data. *Two chapters on the theoretical underpinnings of measurement practices. *New or expanded discussions of what constitutes a theoretical contribution, conceptual logic models, thought experiments, and more. Pedagogical Features *Application and concept exercises in every chapter. *Lists of key terms and engaging topical boxes. *Annotated suggestions for further reading. *New companion website with rich resources for students and instructors. *Chapters stand on their own and can be used in any order.
... the control group R i O of a variable or treatment significance inexpensive way to attempt dependent variable is low, on a behavior or measure to explain a causal relation- particularly with small sample ship between variables size.
Essential reading for students of social science research, this book traces theories from their most rudimentary building blocks (terminology and definitions) through multivariable theoretical statements, models, the role of creativity in ...
A guide for organizational and social research in business studies and the social sciences, providing a clear framework for research design and methodology.
Thoroughly revised and updated, the 4th Edition of this groundbreaking text traces the historical development of the foundations of modern occupational therapy theory; examines its status today; and looks to its future.
This Allyn and Bacon Classics Edition contains the complete text of the original copyright 1971 version, with new typography and page design.
... 94 Driskoll, M.142 Druckman, D.2,11,56, 59, 65, 156, 162, 163 Duguid, P.143 Dunlosky,J.10, 32, 34, 35 Duran, J.94,100, 156 Durlach, N.I.56 Dyck, J.L.22 Early, S.84,103, 104 Eastman,R.10 Ebbesen, E.B.69, 70 Ebbinghaus, 11, 66 Eccles, ...
On the importance of reliable covariate measurement in selection bias adjustments using propensity scores. ... advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.
The book provokes student interest in theory by providing examples of the scholarly application of family theory to compare how people use similar processes in everyday life.
It is the use of scientific logic, the characteristics of which are elaborated on in the book, that enables the scientific community to arrive at reliable consensus judgments in which the public can retain a high degree of confidence.
33 (pp. 77–92). San Francisco: Jossey-Bass. Journal Articles Birckmayer, J. D., & Weiss, C. H. (2000). Theory-based evaluation in practice: What do we learn? Evaluation Review, 24(8), 40–43. Bolduc, K., Buteau, E., Laughlin, G., Ragin, ...