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Tang, Yun – ProQuest LLC, 2018
Propensity and prognostic score methods are two statistical techniques used to correct for the selection bias in nonexperimental studies. Recently, the joint use of propensity and prognostic scores (i.e., two-score methods) has been proposed to improve the performance of adjustments using propensity or prognostic scores alone for bias reduction.…
Descriptors: Statistical Analysis, Probability, Bias, Program Evaluation
Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
Hong, Guanglei; Qin, Xu; Yang, Fan – Journal of Educational and Behavioral Statistics, 2018
Through a sensitivity analysis, the analyst attempts to determine whether a conclusion of causal inference could be easily reversed by a plausible violation of an identification assumption. Analytic conclusions that are harder to alter by such a violation are expected to add a higher value to scientific knowledge about causality. This article…
Descriptors: Statistical Inference, Probability, Statistical Bias, Statistical Analysis
Feller, Avi; Mealli, Fabrizia; Miratrix, Luke – Journal of Educational and Behavioral Statistics, 2017
Researchers addressing posttreatment complications in randomized trials often turn to principal stratification to define relevant assumptions and quantities of interest. One approach for the subsequent estimation of causal effects in this framework is to use methods based on the "principal score," the conditional probability of belonging…
Descriptors: Scores, Probability, Computation, Program Evaluation
Sude, Yujie; DeAngelis, Corey A.; Wolf, Patrick J. – Journal of School Choice, 2018
Since school voucher funds are public, policymakers fiercely debate how those funds should be spent. A goal of many decision-makers is to ensure that every private school option is "high-quality" through program accountability regulations. Private schools, however, decide whether to participate in a private school choice program and…
Descriptors: School Involvement, Educational Vouchers, Decision Making, Public Schools
Rein, Benjamin A.; McNeil, Daniel W.; Hayes, Allison R.; Hawkins, T. Anne; Ng, H. Mei; Yura, Catherine A. – Journal of American College Health, 2018
Objective: Training programs exist that prepare college students, faculty, and staff to identify and support students potentially at risk for suicide. Kognito is an online program that trains users through simulated interactions with virtual humans. This study evaluated Kognito's effectiveness in preparing users to intervene with at-risk students.…
Descriptors: College Students, Program Evaluation, Suicide, Prevention
Friedman-Krauss, Allison H.; Connors, Maia C.; Morris, Pamela A. – Journal of Research on Educational Effectiveness, 2017
Attending high-quality early childhood care and education (ECCE) is associated with higher cognitive and social-emotional skills, especially for children growing up in poverty, but access to high-quality ECCE is limited. This study capitalizes on the random assignment design of the Head Start Impact Study to better understand whether the…
Descriptors: Early Intervention, Early Childhood Education, Educational Quality, Program Evaluation
Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok – International Journal of Training Research, 2012
Evaluations of vocational education and training (VET) programs play a key role in informing training policy in Australia and elsewhere. Increasingly, such evaluations use observational data from surveys or administrative collections to assess the effectiveness of VET programs and interventions. The difficulty associated with using observational…
Descriptors: Vocational Education, Educational Research, Probability, Statistical Analysis
Stone, Clement A.; Tang, Yun – Practical Assessment, Research & Evaluation, 2013
Propensity score applications are often used to evaluate educational program impact. However, various options are available to estimate both propensity scores and construct comparison groups. This study used a student achievement dataset with commonly available covariates to compare different propensity scoring estimation methods (logistic…
Descriptors: Comparative Analysis, Probability, Sample Size, Program Evaluation
Taylor, Lauren Christine – ProQuest LLC, 2013
Considering the amount of funding that is distributed to educational research each year, leaders and policymakers have a vested interest in finding scientifically based evidence that answers causal questions regarding program effectiveness. The importance of program evaluation has long been recognized in many fields of research; however, the most…
Descriptors: Program Evaluation, Evaluation Methods, Comparative Analysis, Multivariate Analysis
Warner-Richter, Mallory; Lowe, Claire; Tout, Kathryn; Epstein, Dale; Li, Weilin – Child Trends, 2016
The Success By 6® (SB6) initiative is designed to support early care and education centers in improving and sustaining quality in Pennsylvania's Keystone STARS Quality Rating and Improvement System (QRIS). The SB6 evaluation report examines implementation and outcomes. The findings have implications for SB6 continous quality improvement process…
Descriptors: Success, Research Reports, Child Care Centers, Quality Assurance
Khan, Shahzad; Lurhathaiopath, Puangkaew; Matsushita, Shusuke – Educational Research and Reviews, 2017
This study aims to study households' expectations for their children's academic performance in Khyber Pakhtunkhwa, Pakistan. Education has a significant role in increasing the productivity and income level of an individual in a society. Household education, income, distance from school, gender discrimination within household and cost of education…
Descriptors: Foreign Countries, Scores, Educational Attainment, Probability
Penedo, Janaina Rodrigues; Diniz, Morganna; Ferreira, Simone Bacellar Leal; Silveira, Denis S.; Capra, Eliane – Interactive Technology and Smart Education, 2012
Purpose: The purpose of this paper is to analyze the usability of a remote learning system in its initial development phase, using a quantitative usability evaluation method through Markov models. Design/methodology/approach: The paper opted for an exploratory study. The data of interest of the research correspond to the possible accesses of users…
Descriptors: Markov Processes, Evaluation Methods, Probability, Evaluation Research
HUSEK, T.R.; SIROTNIK, KEN – 1967
A DESCRIPTION IS GIVEN OF ITEM SAMPLING, OR "PSYCHOMETRIC-STATISTICAL INFERENCE," AN APPROACH TO GATHERING AND USING EDUCATIONAL DATA THAT ALLOWS STATISTICAL INFERENCES TO BE MADE SIMULTANEOUSLY WITH PSYCHOMETRIC INFERENCES. THIS IS A PROCEDURE IN WHICH BOTH PEOPLE AND ITEMS ARE SAMPLED AND THE DATA FROM A SAMPLE OF PEOPLE TAKING A SAMPLE OF ITEMS…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
Magidson, Jay – 1977
In evaluation research studies, it often occurs that several program participants (experimentals) drop out of the program prior to completion. Since noncompleters generally differ substantially from completers in many respects, a control group which originally was representative of the participant group will most likely not be representative of…
Descriptors: Attrition (Research Studies), Career Education, Control Groups, Discriminant Analysis
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