Cognitive Assessment: A Link Between Statistical Pattern Recognition and Classification Problems and Psychometrics
Cognitive Assessment: A Link Between Statistical Pattern Recognition and Classification Problems and Psychometrics (Multivariate Applications Series) Kikumi Tatsuoka,
Publisher: Routledge
ISBN: 1848728131
DDC: 153.93
Edition: Paperback; 2009-05-22
Summary:
This book introduces a new methodology for the analysis of test
results. Free from ambiguous interpretations, the results truly
demonstrate an individual’s progress. The methodology is ideal for
highlighting patterns derived from test scores used in evaluating
progress. Dr. Tatsuoka introduces readers to the Rule Space Method
(RSM), a technique that transforms unobservable knowledge and skill
variables into observable and measurable attributes. RSM converts
item response patterns into attribute mastery probabilities. RSM is
the only up-to-date methodology that can handle large scale
assessment for tests such as the SAT and PSAT. PSAT used the results
from this methodology to create cognitively diagnostic scoring
reports. In this capacity, RSM helps teachers understand what scores
mean by helping them ascertain an individual’s cognitive strengths
and weaknesses. For example, two students may have the exact same
score, but for different reasons. One student might excel at
processing grammatically complex texts but miss the main idea of the
prose, while another excels at understanding the global message. Such
knowledge helps teachers customize a student’s education to his or
her cognitive abilities. RSM is also used for medical diagnoses,
genetics research, and to help classify music into various states of
emotions for treating mental problems. The book opens with an
overview of cognitive assessment research and nonparametric and
parametric person-fit statistics. The Q-matrix theory is then
introduced followed by the Rule Space method. Various properties of
attribute mastery probabilities are then introduced along with the
reliability theory of attributes and its connection to classical and
item response theory. The book concludes with a discussion of how the
construct validity of a test can be clarified with the Rule Space
method. Intended for researchers and graduate students in
quantitative, educational, and cognitive psychology, this book also
appeals to those in computer science, neuroscience, medicine, and
mathematics. The book is appropriate for advanced courses on
cognometrics, latent class structures, and advanced psychometrics as
well as statistical pattern recognition and classification courses
taught in statistics and/or math departments.
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