Confirmatory and Exploratory Causal Measurement Models Regarding the Underlying Economic Dimensions Inherent in Annual Accounting Data PDF Download
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Author: David A. Ziebart
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
Author: David A. Ziebart
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
Author: David A. Ziebart
Publisher:
ISBN:
Category : Stock exchanges
Languages : en
Pages : 708
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Author:
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 564
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Book Description
Author: University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
Publisher:
ISBN:
Category : Economic research
Languages : en
Pages : 396
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Book Description
Author:
Publisher:
ISBN:
Category : Economic research
Languages : en
Pages : 172
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Book Description
Author: Lawrence R. James
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
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Book Description
This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.
Author: David Allen Ziebart
Publisher:
ISBN:
Category : Accounting
Languages : en
Pages : 320
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Book Description
Author: Hubert M. Blalock
Publisher: Transaction Publishers
ISBN: 0202364615
Category : Social Science
Languages : en
Pages : 300
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Book Description
This is a companion volume to the Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs--as compared with idealized ones that often become the basis of textbook discussions of design issues. In thinking about the revision of that volume, considerable literature has accumulated. As a result, this volume attempts to bridge the gap in time and substance to that earlier effort. Blalock examined articles that seemed to hold the most promise of expanding the variety of topics in research methods to the causal modeling approach, and addressing the design issues involved. The majority of these fell under the heading of panel designs involving repeated measurements; a smaller cluster involved discussions of how our understanding of experimental designs could be improved by paying explicit attention to causal models. Blalock presented five chapters bearing on experimental designs into Part I, since the issues with which they deal are more general than those that treat more specifically with the handling of change data. Although many readers may have more immediate interest in these latter papers, which appear in Part II, Blalock thought it wise to encourage such readers to examine broader issues before plunging specifically into discussions of panel designs. H.M. Blalock, Jr. (1926-1991) was professor of sociology at the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.
Author: Stephen F. LeRoy
Publisher: Cambridge Scholars Publishing
ISBN: 1527560600
Category : Business & Economics
Languages : en
Pages : 105
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Book Description
There exist applications in many research areas including (but not limited to) economics dealing with causation that are analyzed using multi-equation mathematical models. This book develops and describes a formal treatment of causation in such mathematical models. It serves to replace existing treatments of causation, which almost without exception are vague and otherwise unsatisfactory. Development of theory is accompanied here by extensive analysis of examples drawn from the economics literature: treatment evaluation, potential outcomes, applied econometrics. The theory outlined here will be extremely useful in economics and such related fields as biology and biomedicine.
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
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Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
