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EBOOKCENTRAL_ocn889302750 |
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OCoLC |
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20240329122006.0 |
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|a (OCoLC)889302750
|z (OCoLC)1050595492
|z (OCoLC)1103255294
|z (OCoLC)1228611022
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|a QA276.4
|b .F563 2014eb
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|a MAT
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|a 519.502855369
|2 23
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|a UAMI
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100 |
1 |
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|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 |
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|a Applied psychometrics using statistical analysis system
|
264 |
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1 |
|a Charlotte, North Carolina :
|b IAP,
|c [2014]
|
264 |
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4 |
|c ©2014
|
300 |
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|a 1 online resource :
|b illustrations, graphs
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336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references.
|
588 |
0 |
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|a Online resource; title from PDF title page (ebrary, viewed August 13, 2014).
|
505 |
0 |
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|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 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
|
590 |
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|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 |
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0 |
|a Educational psychology.
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650 |
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2 |
|a Psychometrics
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650 |
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2 |
|a Psychology, Educational
|
650 |
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6 |
|a Statistique mathématique
|x Informatique.
|
650 |
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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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