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Assessments and Surveys
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James Soland; Megan Kuhfeld – Annenberg Institute for School Reform at Brown University, 2020
Survey respondents use different response styles when they use the categories of the Likert scale differently despite having the same true score on the construct of interest. For example, respondents may be more likely to use the extremes of the response scale independent of their true score. Research already shows that differing response styles…
Descriptors: Social Emotional Learning, Scores, Likert Scales, Surveys
Plieninger, Hansjörg – Educational and Psychological Measurement, 2017
Even though there is an increasing interest in response styles, the field lacks a systematic investigation of the bias that response styles potentially cause. Therefore, a simulation was carried out to study this phenomenon with a focus on applied settings (reliability, validity, scale scores). The influence of acquiescence and extreme response…
Descriptors: Response Style (Tests), Test Bias, Item Response Theory, Correlation
Halpin, Peter F. – Measurement: Interdisciplinary Research and Perspectives, 2017
The target paper, "Rethinking Traditional Methods of Survey Validation" (Andrew Maul), raises some interesting critical ideas, both old and new, about the validation of self-report surveys. As indicated by Dr. Maul, recent policy initiatives in the United States (e.g., ESSA) have led to a demand for assessments of…
Descriptors: Self Evaluation (Individuals), Evaluation Methods, Measurement Techniques, Response Style (Tests)
Kim, Nana; Bolt, Daniel M. – Educational and Psychological Measurement, 2021
This paper presents a mixture item response tree (IRTree) model for extreme response style. Unlike traditional applications of single IRTree models, a mixture approach provides a way of representing the mixture of respondents following different underlying response processes (between individuals), as well as the uncertainty present at the…
Descriptors: Item Response Theory, Response Style (Tests), Models, Test Items
Hedlefs-Aguilar, Maria Isolde; Morales-Martinez, Guadalupe Elizabeth; Villarreal-Lozano, Ricardo Jesus; Moreno-Rodriguez, Claudia; Gonzalez-Rodriguez, Erick Alejandro – European Journal of Educational Research, 2021
This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios,…
Descriptors: Test Anxiety, Engineering Education, Algebra, College Students
Kolski, Tammi; Weible, Jennifer L. – Community College Journal of Research and Practice, 2019
eLearning instruction has become an accepted means of delivering a quality education to higher education students, with community college online learning enrollment rates rising annually. Consistent with the desires of eLearning students for convenience and flexibility, educators utilize virtual proctored exams to safeguard against academic…
Descriptors: Community Colleges, Two Year College Students, College Students, Student Behavior
Guo, Hongwen; Ercikan, Kadriye – Educational Research and Evaluation, 2020
Rapid response behaviour, a type of test disengagement, cannot be interpreted as a true indicator of the targeted constructs and may compromise score accuracy as well as score validity for interpretation. Rapid responding may be due to multiple factors for diverse populations. In this study, using Programme for International Student Assessment…
Descriptors: Response Style (Tests), Foreign Countries, International Assessment, Achievement Tests
von Davier, Matthias – Quality Assurance in Education: An International Perspective, 2018
Purpose: Surveys that include skill measures may suffer from additional sources of error compared to those containing questionnaires alone. Examples are distractions such as noise or interruptions of testing sessions, as well as fatigue or lack of motivation to succeed. This paper aims to provide a review of statistical tools based on latent…
Descriptors: Statistical Analysis, Surveys, International Assessment, Error Patterns
Liao, Xiangyi; Bolt, Daniel M. – Journal of Educational and Behavioral Statistics, 2021
Four-parameter models have received increasing psychometric attention in recent years, as a reduced upper asymptote for item characteristic curves can be appealing for measurement applications such as adaptive testing and person-fit assessment. However, applications can be challenging due to the large number of parameters in the model. In this…
Descriptors: Test Items, Models, Mathematics Tests, Item Response Theory
Harbaugh, Allen G.; Liu, Min – AERA Online Paper Repository, 2017
This research examines the effects of nonattending response pattern contamination and select response style patterns on measures of model fit (CFI) and internal reliability (Cronbach's [alpha]). A simulation study examines the effects resulting from percentage of contamination, number of manifest items measured and sample size. Initial results…
Descriptors: Factor Analysis, Response Style (Tests), Goodness of Fit, Test Reliability
Man, Kaiwen; Harring, Jeffrey R. – Educational and Psychological Measurement, 2019
With the development of technology-enhanced learning platforms, eye-tracking biometric indicators can be recorded simultaneously with students item responses. In the current study, visual fixation, an essential eye-tracking indicator, is modeled to reflect the degree of test engagement when a test taker solves a set of test questions. Three…
Descriptors: Test Items, Eye Movements, Models, Regression (Statistics)
Soland, James; Kuhfeld, Megan – Educational Assessment, 2019
Considerable research has examined the use of rapid guessing measures to identify disengaged item responses. However, little is known about students who rapidly guess over the course of several tests. In this study, we use achievement test data from six administrations over three years to investigate whether rapid guessing is a stable trait-like…
Descriptors: Testing, Guessing (Tests), Reaction Time, Achievement Tests
Dibek, Munevver Ilgun – International Journal of Assessment Tools in Education, 2019
In the literature, response style is one of the factors causing an achievement-attitude paradox and threatens the validity of the results obtained from studies. In this regard, the aim of this study is two-fold. Firstly, it attempts to determine which item response tree (IRTree) models based on the generalized linear mixed model (GLMM) approach…
Descriptors: Response Style (Tests), Achievement Tests, Elementary Secondary Education, Foreign Countries
Fryer, Luke K.; Nakao, Kaori – Frontline Learning Research, 2020
Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…
Descriptors: Measurement Techniques, Research Methodology, Surveys, Online Surveys
NWEA, 2017
This document describes the following two new student engagement metrics now included on NWEA™ MAP® Growth™ reports, and provides guidance on how to interpret and use these metrics: (1) Percent of Disengaged Responses; and (2) Estimated Impact of Disengagement on RIT. These metrics will inform educators about what percentage of items from a…
Descriptors: Achievement Tests, Achievement Gains, Test Interpretation, Reaction Time