Kristine Y. Hogarty

Risky Predictions and Damn Strange Coincidences in Theory Appraisal

An Examination of a Multivariate Corroboration Index for Path Analytic Models

• Broschiertes Buch

Produktbeschreibung

The elucidation and empirical testing of theories are
vital components of research in any field. However,
the extent to which theories are supported or
contradicted by the results of empirical research
remains ill defined. Commonly, support or
contradiction is based solely on the reject or fail to reject decisions that result from null
hypothesis tests derived from aspects of theory.
Decisions and recommendations based on this forced
and often artificial dichotomy have been scrutinized
in the past. This overly simplified approach to
theory testing has been challenged on logical grounds
(Meehl, 1997, 1990, 1978; Serlin & Lapsley, 1985).
Theories differ in the extent to which they provide
precise predictions about observations and the
precision derived from theories is proportional to
the strength of support that may be provided by
empirical evidence congruent with the prediction.
The notion of linking precision to strength of
support is surprisingly absent from many discussions
in this realm. Using Monte Carlo methods, this study
examined the performance of a multivariate extension
of Meehl s Corroboration Index. Implications for
theory and practice are discussed.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 152
• Englisch
• ISBN-13: 9783639144895
• ISBN-10: 3639144899
• Artikelnr.: 26759047

Autorenporträt

Kristine Y. Hogarty is the Director of Assessment for the College
of Education at the University of South Florida. Her experiences
include instrument development,research design and data analysis
in Education and Industry. Her research interests are focused on
applied statistics analysis. Her work has been published in a
host of scholarly journals.