Factors versus composites: guidelines for choosing the right structural equation modeling method (Record no. 514280)

000 -LEADER
fixed length control field 01084nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201023b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hair, Joseph F. and Sarstedt, Marko
245 ## - TITLE STATEMENT
Title Factors versus composites: guidelines for choosing the right structural equation modeling method
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Project Management Journal
300 ## - PHYSICAL DESCRIPTION
Extent 50(6), 2019: p.619-624
520 ## - SUMMARY, ETC.
Summary, etc Structural equation modeling (SEM) is a widely applied and useful tool for project management scholars. In this Thoughtlet article, we critically reflect on the measurement philosophy underlying the two streams of SEM and their adequacy for estimating relationships among concepts commonly encountered in the field (e.g., team performance). We also discuss considerations to ponder when making the choice between the two types of SEM as well as between SEM and regression analysis.- Reproduced
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Composites, Factors, Partial least squares (PLS), Structural equation modeling (SEM)
9 (RLIN) 18837
773 ## - HOST ITEM ENTRY
Main entry heading Project Management Journal
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP PROJECT MANAGEMENT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2020-10-23 50(6), 2019: p. 619-624 AR123311 2020-10-23 Articles

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