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Direct linkElwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
Jarosz, Andrew F.; Wiley, Jennifer – Journal of Problem Solving, 2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the "Journal of Problem Solving." The Bayes factor provides information with a similar purpose to the "p"-value--to allow the researcher to make…
Descriptors: Problem Solving, Bayesian Statistics, Statistical Inference, Computation
Montague, Marjorie; Dietz, Samantha – Exceptional Children, 2009
This review considers both the content and methodologies of 5 single-subject and 2 group experimental design studies investigating the effects of cognitive strategy instruction on the mathematical problem solving of students with disabilities, using quality indicators proposed by Horner et al. (2005) and Gersten et al. (2005). Findings indicated…
Descriptors: Problem Solving, Intervention, Learning Disabilities, Theory Practice Relationship
Harrington, LaDawna – Linworth, 2011
A little imagination, a little drama, a little mystery. Using the guided inquiry model in this updated, second edition, students become detectives at Information Headquarters. They solve a mystery-and enhance their problem-solving and literacy skills. Middle school is a crucial time in the development of problem-solving, critical-thinking, and…
Descriptors: Reading Strategies, Problem Solving, Information Literacy, Inferences
Download full textKuipers, Benjamin – 1985
The relationship between cognitive psychologists and researchers in artificial intelligence carries substantial benefits for both. An ongoing investigation in causal reasoning in medical problem solving systems illustrates this interaction. This paper traces a dialectic of sorts in which three different types of causal resaoning for medical…
Descriptors: Artificial Intelligence, Clinical Diagnosis, Cognitive Processes, Computer Simulation
Sugrue, Brenda – 1993
This report describes a methodology for increasing the validity and reliability of inferences made about the problem-solving ability of science students that is based on performance on different kinds of tests. The generalizable cognitive components of problem solving that might be targeted by assessment are described, and specifications are…
Descriptors: Chemistry, Educational Assessment, Inferences, Models
