Universität zu Köln

Becker, Jan-Michael ORCID: 0000-0003-3013-3739 and Ismail, Ida Rosnita (2016). Accounting for sampling, weights in PLS path modeling: Simulations and empirical examples. Eur. Manag. J., 34 (6). S. 606 - 618. OXFORD: ELSEVIER SCI LTD. ISSN 1873-5681

Full text not available from this repository.

Abstract

Applications of partial least squares (PLS) path modeling usually focus on survey responses in management, social science, and market research studies, with researchers using their collected samples to estimate population parameters. For this purpose, the sample must represent the population. However, population members are often not equally likely to be included in the sample, which indicates that sampling units have different probabilities of being selected. Hence, sampling (post-stratification) weights should be used to obtain consistent estimates when estimating population parameters. We discuss alterations to the basic PLS path modeling algorithm to consider sampling weights in order to achieve better average population estimates in situations where researchers have a set of appropriate weights. We illustrate the effectiveness and usefulness of the approach with simulations and an empirical example of a job attitude model, using data from Ireland. (C) 2016 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Becker, Jan-Michael UNSPECIFIED orcid.org/0000-0003-3013-3739 UNSPECIFIED Ismail, Ida Rosnita UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-254510
DOI:	10.1016/j.emj.2016.06.009
Journal or Publication Title:	Eur. Manag. J.
Volume:	34
Number:	6
Page Range:	S. 606 - 618
Date:	2016
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	1873-5681
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PARTIAL LEAST-SQUARES; UNOBSERVED HETEROGENEITY; JOB-SATISFACTION; CRITICAL-LOOK; VALIDITY; SEM; MANAGEMENT Multiple languages Business; Management Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/25451