The Excluded Variable Problem in Nonrandomized Control Group Designs.

Alert:

Limited Availability of Full-Text Documents. Click here for more information, or here to request the return of a PDF online.

Help

Tutorial

Help |

Tutorial

Help |

Tutorial

Help With This Page

More Info:
Help 0 items in My Clipboard | Add record to My Clipboard

Record Details - EJ307831

Title: The Excluded Variable Problem in Nonrandomized Control Group Designs.

Full-Text Availability Options:

More Info:
Help | Tutorial Help Finding Full Text

Related Items: Show Related Items

Click on any of the links below to perform a new search
Title:	The Excluded Variable Problem in Nonrandomized Control Group Designs.
Authors:	Dwyer, James H.
Descriptors:	Control Groups; Mathematical Models; Maximum Likelihood Statistics; Monte Carlo Methods; Program Evaluation; Quasiexperimental Design; Research Design; Research Methodology; Research Problems; Statistical Bias; Statistical Studies
Source:	Evaluation Review, v8 n4 p559-72 Aug 1984
More Info: Help Peer Reviewed:	Yes
Publisher:	N/A
Publication Date:	1984-00-00
Pages:	N/A
Pub Types:	Journal Articles; Opinion Papers
Abstract:	A solution to the problem of specification error due to excluded variables in statistical models of treatment effects in nonrandomized (nonequivalent) control group designs is presented. It involves longitudinal observation with at least two pretests. A maximum likelihood estimation program such as LISREL may provide reasonable estimates of treatment effects. (Author/BS)
Abstractor:	N/A
Reference Count:	0

Note:	N/A
Identifiers:	Evaluation Problems; LISREL Computer Program
Record Type:	Journal
Level:	N/A
Institutions:	N/A
Sponsors:	N/A
ISBN:	N/A
ISSN:	N/A
Audiences:	N/A
Languages:	English
Education Level:	N/A