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Stradiotová, Eva; Némethová, Ildiko; Štefancík, Radoslav – Advanced Education, 2022
The article aims to find out the impact of online education on on-site education by analyzing the results achieved by the respondents in the tests. We used descriptive statistical methods to analyze the data. The reason was that such methods allow us to better understand the correlation between the results obtained in traditional testing and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Distance Education
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Evers, Arne; McCormick, Carina M.; Hawley, Leslie R.; Muñiz, José; Balboni, Giulia; Bartram, Dave; Boben, Dusica; Egeland, Jens; El-Hassan, Karma; Fernández-Hermida, José R.; Fine, Saul; Frans, Örjan; Gintiliené, Grazina; Hagemeister, Carmen; Halama, Peter; Iliescu, Dragos; Jaworowska, Aleksandra; Jiménez, Paul; Manthouli, Marina; Matesic, Krunoslav; Michaelsen, Lars; Mogaji, Andrew; Morley-Kirk, James; Rózsa, Sándor; Rowlands, Lorraine; Schittekatte, Mark; Sümer, H. Canan; Suwartono, Tono; Urbánek, Tomáš; Wechsler, Solange; Zelenevska, Tamara; Zanev, Svetoslav; Zhang, Jianxin – International Journal of Testing, 2017
On behalf of the International Test Commission and the European Federation of Psychologists' Associations a world-wide survey on the opinions of professional psychologists on testing practices was carried out. The main objective of this study was to collect data for a better understanding of the state of psychological testing worldwide. These data…
Descriptors: Testing, Attitudes, Surveys, Psychologists
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Mbalamula, Yazidu Saidi – Pedagogical Research, 2018
The study analyzes students' performance scores in formative assessments depicting the individual and group settings. A case study design was adopted using quantitative approach to extract data of 198 undergraduate students. Data were analyzed quantitatively using descriptive statistics--means and frequencies; spearman correlations, multiple…
Descriptors: Foreign Countries, Undergraduate Students, Formative Evaluation, Academic Achievement
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Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…
Descriptors: Test Items, Computation, Item Analysis, Nonparametric Statistics
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Peugh, James; Feldon, David F. – CBE - Life Sciences Education, 2020
Structural equation modeling is an ideal data analytical tool for testing complex relationships among many analytical variables. It can simultaneously test multiple mediating and moderating relationships, estimate latent variables on the basis of related measures, and address practical issues such as nonnormality and missing data. To test the…
Descriptors: Structural Equation Models, Goodness of Fit, Statistical Analysis, Computation
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
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Roy, Sudipta – Teaching Statistics: An International Journal for Teachers, 2019
The natural experiment proposed in this article extracts three stories from boxes of "100 paper clips". The activity requires students to apply three lessons from inferential statistics, starting with a hypothesis test and including confidence intervals as well as tolerance intervals.
Descriptors: Statistical Inference, Probability, Teaching Methods, Hypothesis Testing
Sinharay, Sandip – Grantee Submission, 2019
Benefiting from item preknowledge (e.g., McLeod, Lewis, & Thissen, 2003) is a major type of fraudulent behavior during educational assessments. This paper suggests a new statistic that can be used for detecting the examinees who may have benefitted from item preknowledge using their response times. The statistic quantifies the difference in…
Descriptors: Test Items, Cheating, Reaction Time, Identification
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Matošková, Jana; Kovárík, Martin – Journal of Psychoeducational Assessment, 2017
It has been suggested that tacit knowledge may be a good predictor of performance in college. The purpose of this study was to investigate the extent to which a situational judgment test developed to measure tacit knowledge correlates with predictors and indicators of college performance. This situational judgment test includes eight situations…
Descriptors: Academic Achievement, Undergraduate Students, Predictor Variables, Situational Tests
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Xiao, Jiaying; Bulut, Okan – Educational and Psychological Measurement, 2020
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…
Descriptors: Data, Computation, Ability, Maximum Likelihood Statistics
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Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2016
Meijer and van Krimpen-Stoop noted that the number of person-fit statistics (PFSs) that have been designed for computerized adaptive tests (CATs) is relatively modest. This article partially addresses that concern by suggesting three new PFSs for CATs. The statistics are based on tests for a change point and can be used to detect an abrupt change…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Goodness of Fit
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Mavridis, A.; Tsiatsos, T. – Journal of Computer Assisted Learning, 2017
The aim of this study is to assess the impact of a 3D educational computer game on students' test anxiety and exam performance when used in evaluative situations as compared to the traditional method of examination. The participants of the study were students in tertiary education who were examined using game-based assessment and traditional…
Descriptors: Computer Games, Teaching Methods, Test Anxiety, Statistical Analysis
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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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Guo, Hongwen; Dorans, Neil J. – ETS Research Report Series, 2019
The Mantel-Haenszel delta difference (MH D-DIF) and the standardized proportion difference (STD P-DIF) are two observed-score methods that have been used to assess differential item functioning (DIF) at Educational Testing Service since the early 1990s. Latentvariable approaches to assessing measurement invariance at the item level have been…
Descriptors: Test Bias, Educational Testing, Statistical Analysis, Item Response Theory
Hedges, Larry V.; Schauer, Jacob M. – Grantee Submission, 2019
Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have used different statistical approaches to determine if a finding has been replicated. The purpose of this article is to provide several alternative conceptual frameworks that lead to different…
Descriptors: Statistical Analysis, Replication (Evaluation), Meta Analysis, Hypothesis Testing
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