ISBN: 9781848728134 - cognitive assessment: an introduction to the rule space method (multivariate applications series) (22 resultados)

Softcover (Stiff Card). Condición: Very Good. No Dust Jacket. Edition Unstated. Size: Octavo (standard book size). Text body is clean, and free from previous owner annotation, underlining and highlighting. Binding is tight, covers and spine fully intact. No foxing in this copy. All edges clean, neat and free of foxing. Quantity Available: 1. Shipped Weight: Under 1 kilogram. Category: Education; Modern; Psychology & Psychiatry. ISBN: . ISBN/EAN: 9781848728134. All our pictures shown here are of the actual item, not stock photos. Inventory No: 24216. For further info on this title, click on the "Contact Seller" button within this listing. We will try to reply within 24 hours. Otherwise you can order right now (inclusive of shipping options) from the "Add to Basket" button to the right.…

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: New.

Condición: New.

Condición: New. pp. 334 1st Edition.

Condición: New. pp. 334.

Condición: New. Introduces readers to the Rule Space Method (RSM) a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. This book also presents an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. Series: Multivariate Applications Series. Num Pages: 334 pages, illustrations. BIC Classification: JMBT; JMRN. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 22. Weight in Grams: 544. . 2009. Paperback. . . . .…

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Condición: New. In English.

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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condición: New. 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. …

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 1st edition. 330 pages. 9.00x6.00x0.75 inches. In Stock.

Condición: New. Introduces readers to the Rule Space Method (RSM) a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. This book also presents an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. Series: Multivariate Applications Series. Num Pages: 334 pages, illustrations. BIC Classification: JMBT; JMRN. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 22. Weight in Grams: 544. . 2009. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condición: New. 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. …

Condición: New. pp. 334 This item is printed on demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…