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Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Cunningham, James W.; Hiebert, Elfrieda H.; Mesmer, Heidi Anne – Reading and Writing: An Interdisciplinary Journal, 2018
In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…
Descriptors: Readability, Readability Formulas, Evaluation Methods, Correlation
Matthews, Michael S.; Farmer, Jennie – Australasian Journal of Gifted Education, 2017
Dynamic assessment methods, initially developed by Feuerstein in the 1970s, have been recommended as being more equitable for identifying the academic abilities of students who may not perform well on traditional assessments due to these learners' cultural, linguistic, or economic differences from the population for whom the traditional measures…
Descriptors: Academic Achievement, Achievement Gains, Predictive Measurement, Hispanic American Students
Ngo, Federick; Kwon, William W. – Research in Higher Education, 2015
Community college students are often placed in developmental math courses based on the results of a single placement test. However, concerns about accurate placement have recently led states and colleges across the country to consider using other measures to inform placement decisions. While the relationships between college outcomes and such…
Descriptors: Access to Education, Success, Community Colleges, Mathematics Education
Choi, Seung W.; Grady, Matthew W.; Dodd, Barbara G. – Educational and Psychological Measurement, 2011
The goal of the current study was to introduce a new stopping rule for computerized adaptive testing (CAT). The predicted standard error reduction (PSER) stopping rule uses the predictive posterior variance to determine the reduction in standard error that would result from the administration of additional items. The performance of the PSER was…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Evaluation Methods
Ahlgren Reddy, Alison; Harper, Marc – PRIMUS, 2013
Data from the ALEKS-based placement program at the University of Illinois is presented visually in several ways. The placement exam (an ALEKS assessment) contains precise item-specific information and the data show many interesting properties of the student populations of the placement courses, which include Precalculus, Calculus, and Business…
Descriptors: Mathematics Education, College Mathematics, Student Placement, Scores
Wolters, Christopher A.; Benzon, Maria B. – Journal of Experimental Education, 2013
College students ("N" = 215) completed a self-report instrument designed to assess different regulation of motivation strategies as well as aspects of their motivational beliefs, use of cognitive and metacognitive learning strategies, and procrastination. The study serves to extend the research on the self-regulation of motivation…
Descriptors: College Students, Self Disclosure (Individuals), Self Management, Self Motivation
Kass, Darrin; Grandzol, Christian; Bommer, William – Journal of Education for Business, 2012
Consistent with previous research, the authors found that the combined use of undergraduate grade point average and the Graduate Management Admission Test (GMAT) verbal and quantitative sections successfully predicted performance in a master of business administration (MBA) program. However, these measures did not successfully predict the…
Descriptors: College Entrance Examinations, Grade Point Average, Program Effectiveness, Business Administration Education
Francesconi, Marco; Aina, Carmen; Cappellari, Lorenzo – Evaluation & Research in Education, 2011
We use unique administrative data from a leading Italian university to estimate whether the use of admission tests and conditional progression schemes are effective strategies to select high-performing students. Previous work, which has been predominantly correlational, has focused on the effect of selectivity policies on widening university…
Descriptors: Academic Achievement, Evaluation Methods, Admission Criteria, College Admission
Killeen, Peter R. – Psychological Methods, 2010
Lecoutre, Lecoutre, and Poitevineau (2010) have provided sophisticated grounding for "p[subscript rep]." Computing it precisely appears, fortunately, no more difficult than doing so approximately. Their analysis will help move predictive inference into the mainstream. Iverson, Wagenmakers, and Lee (2010) have also validated…
Descriptors: Replication (Evaluation), Measurement Techniques, Research Design, Research Methodology
Cohen, Ayala; Nahum-Shani, Inbal; Doveh, Etti – Multivariate Behavioral Research, 2010
In their seminal paper, Edwards and Parry (1993) presented the polynomial regression as a better alternative to applying difference score in the study of congruence. Although this method is increasingly applied in congruence research, its complexity relative to other methods for assessing congruence (e.g., difference score methods) was one of the…
Descriptors: Behavioral Sciences, Evaluation Methods, Social Sciences, Social Support Groups
Lecoutre, Bruno; Lecoutre, Marie-Paule; Poitevineau, Jacques – Psychological Methods, 2010
P. R. Killeen's (2005a) probability of replication ("p[subscript rep]") of an experimental result is the fiducial Bayesian predictive probability of finding a same-sign effect in a replication of an experiment. "p[subscript rep]" is now routinely reported in "Psychological Science" and has also begun to appear in…
Descriptors: Research Methodology, Guidelines, Probability, Computation
Iverson, Geoffrey J.; Wagenmakers, Eric-Jan; Lee, Michael D. – Psychological Methods, 2010
The purpose of the recently proposed "p[subscript rep]" statistic is to estimate the probability of concurrence, that is, the probability that a replicate experiment yields an effect of the same sign (Killeen, 2005a). The influential journal "Psychological Science" endorses "p[subscript rep]" and recommends its use…
Descriptors: Effect Size, Evaluation Methods, Probability, Experiments
Serlin, Ronald C. – Psychological Methods, 2010
The sense that replicability is an important aspect of empirical science led Killeen (2005a) to define "p[subscript rep]," the probability that a replication will result in an outcome in the same direction as that found in a current experiment. Since then, several authors have praised and criticized 'p[subscript rep]," culminating…
Descriptors: Epistemology, Effect Size, Replication (Evaluation), Measurement Techniques
Cumming, Geoff – Psychological Methods, 2010
This comment offers three descriptions of "p[subscript rep]" that start with a frequentist account of confidence intervals, draw on R. A. Fisher's fiducial argument, and do not make Bayesian assumptions. Links are described among "p[subscript rep]," "p" values, and the probability a confidence interval will capture…
Descriptors: Replication (Evaluation), Measurement Techniques, Research Methodology, Validity

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