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Cited by 49 publications
(20 citation statements)
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“…Another example of the integration and adaptation of methods is the use of quasi-experimental research designs based on naturally occurring experiments to produce causal claims. In the wake of the “credibility revolution” in economics (Angrist & Pischke, 2010) and the strong emphasis on an evidence-based approach to policy and interventions by the government (No Child Left Behind, 2002), an increased number of education researchers have utilized quasi-experimental research designs (Angrist, 2004). In Chapter 8, Gopalan et al describe the methods and standards for causal inference in education research formalized by the What Works Clearinghouse (WWC).…”
Section: Expanding the Boundaries Of Education Research By Borrowingmentioning
confidence: 99%
“…Another example of the integration and adaptation of methods is the use of quasi-experimental research designs based on naturally occurring experiments to produce causal claims. In the wake of the “credibility revolution” in economics (Angrist & Pischke, 2010) and the strong emphasis on an evidence-based approach to policy and interventions by the government (No Child Left Behind, 2002), an increased number of education researchers have utilized quasi-experimental research designs (Angrist, 2004). In Chapter 8, Gopalan et al describe the methods and standards for causal inference in education research formalized by the What Works Clearinghouse (WWC).…”
Section: Expanding the Boundaries Of Education Research By Borrowingmentioning
confidence: 99%
“…However, even though education researchers tended to turn away from research problems involving causality in the early 1980s, Angrist (2004) observed that this did not happen in all fields of social science. In particular, researchers within the field of economy have kept this interest, and they have picked up many of those issues put aside by the education researchers.…”
Section: Approaches To Valid Causal Inferencementioning
confidence: 99%
“…This is not the proper time and place to go into details about techniques for causal inference from observational data, but there may be reason to mention briefly some recent approaches. One statistical technique, which can be applied to cross-sectional data, is what is called 'instrumental variable' estimation (Angrist, 2004). This method can be used to overcome problems of omitted variables, and it is based on the idea that we should find a variable which is correlated with the independent variable that we try to determine the effect of, but which is uncorrelated with the omitted variables.…”
Section: Approaches To Valid Causal Inferencementioning
confidence: 99%
“…Angrist, 2004). Educational research has been strongly criticised for its weakness in not even attempting to supply rigorous evidence on the effects of education (e.g.…”
Section: Explaining or Describing? Causality Confidence And Capacitymentioning
confidence: 99%