Librarian View
LEADER 02816cam a22004458i 4500
001
991008215669507546
005
20240411095334.0
008
210424t20232021enka b 001 0 eng d
010
a| 2021011997
020
z| 9781108485227
q| (hardback)
020
a| 9781108719278
q| (paperback)
020
z| 9781108750561
q| (epub)
040
a| LBSOR/DLC
b| eng
e| rda
c| DLC
d| HK-SYU
042
a| pcc
050
0
4
a| BF39.2.A52
b| W46 2021
082
0
0
a| 150.1/5195
2| 23
092
0
a| 150.15195
b| WEL 2023
100
1
a| Wells, Craig,
d| 1970-
e| author.
245
1
0
a| Assessing measurement invariance for applied research /
c| Craig S. Wells.
250
a| First paperback edition.
263
a| 2108
264
1
a| Cambridge :
b| Cambridge University Press,
c| 2023.
264
4
c| ©2021
300
a| xxii, 394 pages :
b| illustrations ;
c| 23 cm.
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
490
1
a| Educational and psychological testing in a global context
504
a| Includes bibliographical references (pages 376-387) and indexes.
505
0
a| Observed score methods -- Item response theory -- Methods based on item response theory -- Confirmatory factor analysis -- Methods based on confirmatory factor analysis.
520
a| "Assessing Measurement Invariance for Applied Research will provide psychometricians and researchers across diverse disciplines in the social sciences the necessary knowledge and skills to select and apply appropriate methods to assess measurement invariance. It is a user-friendly guide that describes a variety of statistical methods using a pedagogical framework emphasizing conceptual understanding with extensive illustrations that demonstrate how to use software to analyze real data. A companion website (people.umass.edu/cswells) provides downloadable computer syntax and the data sets demonstrated in this book so readers can use them to become familiar with the analyses and understand how to apply the methods with proficiency to their own work. Evidence-supported methods that can be readily applied to real world data are described and illustrated, providing researchers with many options from which to select given the characteristics of their data. The approaches include observed-score methods and those that use item response theory models and confirmatory factor analysis,"--
c| Provided by publisher.
650
0
a| Psychometrics.
650
0
a| Invariant measures.
650
0
a| Psychology
x| Statistical methods.
650
0
a| Item response theory.
650
0
a| Confirmatory factor analysis.
830
0
a| Educational and psychological testing in a global context.
910
b| wlc
c| wsl
998
a| book
b| 11-04-24
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| CP605