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Causal Models in Educational Research

Recursive Models

Bibliographic Data

ID8221024
AuthorsJames G Anderson (0000-0001-9690-6074, Purdue University), Francis B Evans (University of Wisconsin–Green Bay)
Year1974
Volume11
Issue1
Pages29
Publication date1974-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Educational Research Journal (JOURNAL)
Journal identifiersISSN: 0002-8312 • E-ISSN: 1935-1011
PublisherSAGE Publications (PUBLISHER • US)
DOI10.2307/1162142
OpenAlexW4252853427
LanguageEN
Citations received12
References cited24

Causal modelling procedures developed in economics and biology provide social scientists with powerful methodological tools that permit them to bridge the gap between theory and research. In this paper one type of causal modelling technique involving a structural set of equations that are recursive in form has been used to reanalyze the data from two empirical studies that have appeared in the literature. The paper demonstrates how models of this form broaden the scope of the usual regression analysis

Bridge (graph theory · Causal model · Data science · Econometrics · Economics · Empirical research · Machine learning · Management science · Mathematical economics · Mathematical model · Programming language · Regression analysis · Scope (computer science · Set (abstract data type · Statistics · Bayesian Modeling and Causal Inference · Computer Science · Mathematics

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Unique citing works12
Citations per year0,24
Citation span1975 - 2003 (29)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 12
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