EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"multiple informants"
Narrow search

Narrow search

Year of publication
Subject
All
multiple informants 3 Multiple informants 2 Research methods 2 Survey research 2 Systematic literature review 2 generalized estimating equations 2 missing data 2 ALSPAC study 1 Bibliometrics 1 Bibliometrie 1 Lieferkette 1 Market research 1 Marktforschung 1 Scientific method 1 Supply chain 1 Wissenschaftliche Methode 1 confirmatory analysis 1 eating disorders 1 missing at random 1 missing completely at random 1 multiple imputation 1 multiple-source predictors 1 organizational properties 1 regression analysis 1 weighted estimating equations 1
more ... less ...
Online availability
All
Undetermined 4
Type of publication
All
Article 5
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
All
Undetermined 3 English 2
Author
All
Horton, Nicholas J. 2 Kaufmann, Lutz 2 Aloisio, Kathryn M. 1 Anderson, James C. 1 Astou Saw, Aischa 1 Bellocco, Rino 1 Caria, Maria Paola 1 Field, Alison 1 Galanti, Maria Rosaria 1 Micali, Nadia 1 Saw, Aischa Astou 1 Swanson, Sonja A. 1
more ... less ...
Published in...
All
Stata Journal 2 International Journal of Physical Distribution & Logistics Management 1 International journal of physical distribution & logistics management : IJPD & LM 1 Management Science 1
Source
All
RePEc 3 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 5 of 5
Cover Image
Analysis of partially observed clustered data using generalized estimating equations and multiple imputation
Aloisio, Kathryn M.; Swanson, Sonja A.; Micali, Nadia; … - In: Stata Journal 14 (2014) 4, pp. 863-883
Clustered data arise in many settings, particularly within the social and biomedical sciences. For example, multiple-source reports are commonly collected in child and adolescent psychiatric epidemiologic studies where researchers use various informants (for instance, parents and adolescents) to...
Persistent link: https://www.econbiz.de/10011105649
Saved in:
Cover Image
Using a multiple-informant approach in SCM research
Kaufmann, Lutz; Astou Saw, Aischa - In: International Journal of Physical Distribution & … 44 (2014) 6, pp. 511-527
apply this approach to more fully understand complex SCM phenomena. It further shows that studies using multiple informants …
Persistent link: https://www.econbiz.de/10014794587
Saved in:
Cover Image
Using a multiple-informant approach in SCM research
Kaufmann, Lutz; Saw, Aischa Astou - In: International journal of physical distribution & … 44 (2014) 6, pp. 511-527
Persistent link: https://www.econbiz.de/10010387074
Saved in:
Cover Image
The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models
Caria, Maria Paola; Bellocco, Rino; Galanti, Maria Rosaria - In: Stata Journal 11 (2011) 3, pp. 386-402
Multiple-source data are often collected to provide better information of some underlying construct that is difficult to measure or likely to be missing. In this article, we describe regression-based methods for analyzing multiple-source data in Stata. We use data from the BROMS Cohort Study, a...
Persistent link: https://www.econbiz.de/10010631468
Saved in:
Cover Image
An Approach for Confirmatory Measurement and Structural Equation Modeling of Organizational Properties
Anderson, James C. - In: Management Science 33 (1987) 4, pp. 525-541
measurements taken from multiple informants and organization-level indicators of organizational constructs. This model provides an …
Persistent link: https://www.econbiz.de/10009208607
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...