Midlands State University Library

Ideal, nonideal, and no-marker variables: The confirmatory factor analysis (CFA) marker technique works when it matters (Record no. 160073)

MARC details
000 -LEADER
fixed length control field 02153nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221104123612.0
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fixed length control field 221104b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name WILLIAMS, Larry J.
245 ## - TITLE STATEMENT
Title Ideal, nonideal, and no-marker variables: The confirmatory factor analysis (CFA) marker technique works when it matters
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Washington
Name of producer, publisher, distributor, manufacturer American Psychological Association
Date of production, publication, distribution, manufacture, or copyright notice 2015
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. A persistent concern in the management and applied psychology literature is the effect of common method variance on observed relations among variables. Recent work (i.e., Richardson, Simmering, & Sturman, 2009) evaluated 3 analytical approaches to controlling for common method variance, including the confirmatory factor analysis (CFA) marker technique. Their findings indicated significant problems with this technique, especially with nonideal marker variables (those with theoretical relations with substantive variables). Based on their simulation results, Richardson et al. concluded that not correcting for method variance provides more accurate estimates than using the CFA marker technique. We reexamined the effects of using marker variables in a simulation study and found the degree of error in estimates of a substantive factor correlation was relatively small in most cases, and much smaller than error associated with making no correction. Further, in instances in which the error was large, the correlations between the marker and substantive scales were higher than that found in organizational research with marker variables. We conclude that in most practical settings, the CFA marker technique yields parameter estimates close to their true values, and the criticisms made by Richardson et al. are overstated.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element marker variable
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element common method variance
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element confirmatory factor analysis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name O'BOYLE, Ernest H.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1037/a0038855
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 04/11/2022 Vol100 , No.5 (September 2015)   BF636 JOU 04/11/2022 04/11/2022 Journal Article For In House Use Only