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The effectLiteR approach for analyzing average and conditional effects

Axel Mayer, Lisa Dietzfelbinger, Yves Rosseel UGent and Rolf Steyer (2016) MULTIVARIATE BEHAVIORAL RESEARCH. 51(2-3). p.374-391
abstract
We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
keyword
LATENT CURVE ANALYSIS, PROPENSITY SCORE, PROBING INTERACTIONS, TEST, STATISTICS, INCOMPLETE DATA, REGRESSION, MODEL, VARIABLES, COVARIANCE, MEDIATION, Average and conditional effects, multigroup structural equation, modeling, moderation, stochastic regressors, interactions
journal title
MULTIVARIATE BEHAVIORAL RESEARCH
Multivariate Behav. Res.
volume
51
issue
2-3
pages
18 pages
publisher
Routledge Journals, Taylor & Francis Ltd
place of publication
Abingdon
Web of Science type
Article
Web of Science id
000380886600014
JCR category
STATISTICS & PROBABILITY
JCR impact factor
2.593 (2016)
JCR rank
10/124 (2016)
JCR quartile
1 (2016)
ISSN
0027-3171
1532-7906
DOI
10.1080/00273171.2016.1151334
language
English
UGent publication?
yes
classification
A1
id
8507852
handle
http://hdl.handle.net/1854/LU-8507852
date created
2017-02-06 16:42:41
date last changed
2017-02-14 08:56:52
@article{8507852,
  abstract     = {We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers.},
  author       = {Mayer, Axel and Dietzfelbinger, Lisa and Rosseel, Yves and Steyer, Rolf},
  issn         = {0027-3171},
  journal      = {MULTIVARIATE BEHAVIORAL RESEARCH},
  keyword      = {LATENT CURVE ANALYSIS,PROPENSITY SCORE,PROBING INTERACTIONS,TEST,STATISTICS,INCOMPLETE DATA,REGRESSION,MODEL,VARIABLES,COVARIANCE,MEDIATION,Average and conditional effects,multigroup structural equation,modeling,moderation,stochastic regressors,interactions},
  language     = {eng},
  number       = {2-3},
  pages        = {374--391},
  publisher    = {Routledge Journals, Taylor \& Francis Ltd},
  title        = {The effectLiteR approach for analyzing average and conditional effects},
  url          = {http://dx.doi.org/10.1080/00273171.2016.1151334},
  volume       = {51},
  year         = {2016},
}

Chicago
Mayer, Axel, Lisa Dietzfelbinger, Yves Rosseel, and Rolf Steyer. 2016. “The effectLiteR Approach for Analyzing Average and Conditional Effects.” Multivariate Behavioral Research 51 (2-3): 374–391.
APA
Mayer, A., Dietzfelbinger, L., Rosseel, Y., & Steyer, R. (2016). The effectLiteR approach for analyzing average and conditional effects. MULTIVARIATE BEHAVIORAL RESEARCH, 51(2-3), 374–391.
Vancouver
1.
Mayer A, Dietzfelbinger L, Rosseel Y, Steyer R. The effectLiteR approach for analyzing average and conditional effects. MULTIVARIATE BEHAVIORAL RESEARCH. Abingdon: Routledge Journals, Taylor & Francis Ltd; 2016;51(2-3):374–91.
MLA
Mayer, Axel, Lisa Dietzfelbinger, Yves Rosseel, et al. “The effectLiteR Approach for Analyzing Average and Conditional Effects.” MULTIVARIATE BEHAVIORAL RESEARCH 51.2-3 (2016): 374–391. Print.