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049 |a UAMI 
100 1 |a Finch, W. Holmes  |q (William Holmes),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjBQmJgwgCxR9WprYhpVmd 
245 1 0 |a Applied psychometrics using SAS /  |c W. Holmes Finch, Brian F. French, James C. Immekus. 
246 3 |a Applied psychometrics using statistical analysis system 
264 1 |a Charlotte, North Carolina :  |b IAP,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource :  |b illustrations, graphs 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed August 13, 2014). 
505 0 |6 880-01  |a Cover; Applied Psychometrics Using SAS; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Introduction to Psychometric Concepts; Chapter 2: Item Analysis; Chapter 3: Reliability; Chapter 4: Generalizability Theory; Chapter 5: Validity; Chapter 6: Issues in Scoring; Chapter 7: Item Response Theory; Chapter 8: Differential Item Functioning; Chapter 9: Equating; References. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
630 0 0 |a SAS (Computer file) 
630 0 7 |a SAS (Computer file)  |2 fast 
650 0 |a Mathematical statistics  |x Data processing. 
650 0 |a Psychometrics. 
650 0 |a Educational psychology. 
650 2 |a Psychometrics 
650 2 |a Psychology, Educational 
650 6 |a Statistique mathématique  |x Informatique. 
650 6 |a Psychométrie. 
650 6 |a Psychopédagogie. 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Mathematical statistics  |x Data processing  |2 fast 
700 1 |a French, Brian F.  |q (Brian Forrest),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjHRqKDgFTjDQqWVyRr9wy 
700 1 |a Immekus, James C.,  |e author. 
758 |i has work:  |a Applied psychometrics using SAS (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGQfX7J673rP9xMyQjWx6q  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Finch, W. Holmes.  |t Applied psychometrics using SAS  |z 9781623966959 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3316032  |z Texto completo 
880 0 0 |6 505-01/(S  |g Machine generated contents note:  |g 1.  |t Introduction to Psychometric Concepts --  |t Measurement Basics --  |t Classical Test Theory --  |t Item Response Theory --  |t Dichotomous Items --  |t Polytomous Items --  |g 2.  |t Item Analysis --  |t Introduction --  |t Classical Test Theory Item Difficulty --  |t CTT Item Difficulty for Dichotomous Items --  |t CTT Item Difficulty for Polytomous Items --  |t Classical Test Theory Item Discrimination --  |t Extreme Groups Calculation Method --  |t Biserial/Point Biserial Correlations --  |t Proc Corr Nocorr Alpha --  |t Developing an Automatic Scoring Routine for a Test/Survey --  |g 3.  |t Reliability --  |t Introduction --  |t Measures of Internal Consistency --  |t KR-20 --  |t Cronbach's α for Ordinal Data --  |t Split-Half Reliability --  |t Test--Retest Reliability --  |t Chapter Summary --  |g 4.  |t Generalizability Theory --  |t Introduction --  |t G-studies/D-studies --  |t Variance Components --  |t Generalizability Coefficient/Phi Coefficient --  |g Example 1  |t One Facet Crossed Design --  |g Example 2  |t Two Facet Crossed Design --  |g 5.  |t Validity --  |t Introduction --  |t Types or Sources of Validity Evidence --  |t Associations with Other Variables: Concurrent Validity --  |t Considerations in Concurrent Validity Assessment --  |t Associations with Other Variables: Predictive Validity --  |t Discriminant Groups Validity --  |t Construct Validity --  |t Exploratory Factor Analysis as a Tool for Investigating Construct Validity --  |t Confirmatory Factor Analysis as a Tool for Investigating Construct Validity --  |t Fitting a CPA Model Using SAS --  |t Chapter Summary --  |g 6.  |t Issues in Scoring --  |t Introduction --  |t Types of Scores --  |t Raw Scores --  |t Weighted Scores --  |t Percentile Scores --  |t Standard Scores --  |t Calculation of Raw Scores Using SAS --  |t Calculation of Weighted Scores Using SAS --  |t Calculation of Percentiles Using SAS --  |t Calculation of Standardized Scores Using SAS --  |t Chapter Summary --  |g 7.  |t Item Response Theory --  |t Introduction --  |t IRT versus CTT --  |t Dichotomous IRT Models --  |t Rasch Model --  |t One-Parameter Logistic Model --  |t 2PL Model --  |t Fitting the 3PL Model in SAS --  |t Polytomous IRT Models --  |t Partial Credit Model --  |t Generalized Partial Credit Model --  |t Graded Response Model --  |t Comparing Fit for IRT Models --  |t Chapter Summary --  |g 8.  |t Differential Item Functioning --  |t Introduction --  |t DIF versus Impact --  |t Mantel-Haenszel Test --  |t Logistic Regression --  |t Examples --  |t Logistic Regression Example --  |t Chapter Summary --  |g 9.  |t Equating --  |t Introduction --  |t Equating Sampling Designs --  |t Mean Equating --  |t Linear Equating --  |t Equipercentile Equating --  |t Chapter Summary. 
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