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Svetina, Dubravka; Liaw, Yuan-Ling; Rutkowski, Leslie; Rutkowski, David – Journal of Educational Measurement, 2019
This study investigates the effect of several design and administration choices on item exposure and person/item parameter recovery under a multistage test (MST) design. In a simulation study, we examine whether number-correct (NC) or item response theory (IRT) methods are differentially effective at routing students to the correct next stage(s)…
Descriptors: Measurement, Item Analysis, Test Construction, Item Response Theory
Casanova, Joana R.; Almeida, Leandro S.; Peixoto, Francisco; Ribeiro, Rui-Bártolo; Marôco, João – SAGE Open, 2019
Academic expectations play a significant role in the quality of student adaptation and academic success. Previous research suggests that expectations are a multidimensional construct, making it crucial to test the measures used for this important characteristic. Because assessment of student adaptation to higher education comprises a multitude of…
Descriptors: Foreign Countries, College Freshmen, Questionnaires, Expectation
Murphy, Michael – Australian Mathematics Education Journal, 2022
South Australian Secondary Mathematics teachers consider their testing parameters (duration and frequency) to be consistent with teachers elsewhere in the state, however, formal evidence is not available. A review of literature presented similar gaps in this evidence in other jurisdictions in Australia. The logic model that underpins the resource…
Descriptors: Foreign Countries, Secondary School Teachers, Secondary School Mathematics, Mathematics Tests
Mousavi, Amin; Cui, Ying – Education Sciences, 2020
Often, important decisions regarding accountability and placement of students in performance categories are made on the basis of test scores generated from tests, therefore, it is important to evaluate the validity of the inferences derived from test results. One of the threats to the validity of such inferences is aberrant responding. Several…
Descriptors: Student Evaluation, Educational Testing, Psychological Testing, Item Response Theory
Baris Pekmezci, Fulya; Gulleroglu, H. Deniz – Eurasian Journal of Educational Research, 2019
Purpose: This study aims to investigate the orthogonality assumption, which restricts the use of Bifactor item response theory under different conditions. Method: Data of the study have been obtained in accordance with the Bifactor model. It has been produced in accordance with two different models (Model 1 and Model 2) in a simulated way.…
Descriptors: Item Response Theory, Accuracy, Item Analysis, Correlation
Vispoel, Walter Peter; Morris, Carrie Ann; Sun, Linan – Journal of Experimental Education, 2019
In two independent studies of questionnaire administration, respondents completed multidimensional self-concept inventories within four randomized research conditions that mirrored the most common administration formats used in practice: paper booklets with and without answer sheets and computer questionnaires with single versus multiple items per…
Descriptors: Self Concept Measures, Computer Assisted Testing, Questionnaires, Psychometrics
Sunbul, Onder; Yormaz, Seha – International Journal of Evaluation and Research in Education, 2018
In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…
Descriptors: Difficulty Level, Cheating, Duplication, Test Length
Rueger, Sandra Y.; Cipra, Alli; Choe, Hyungjoon; Steggerda, Jake C.; Kirby, Andrea E.; Stone, Lauren B. – Journal of Psychoeducational Assessment, 2021
Measurement limitations have hindered research on learned helplessness (LH) and mastery orientation (MO) in the classroom. We reduced the 24-item Student Behavior Checklist to a 6-item scale and tested the abbreviated measure for evidence of reliability and validity in a sample of 5th and 6th graders (N = 299). We then replicated findings in an…
Descriptors: Student Behavior, Check Lists, Helplessness, Orientation
Precision of Single-Skill Math CBM Time-Series Data: The Effect of Probe Stratification and Set Size
Solomon, Benjamin G.; Payne, Lexy L.; Campana, Kayla V.; Marr, Erin A.; Battista, Carmela; Silva, Alex; Dawes, Jillian M. – Journal of Psychoeducational Assessment, 2020
Comparatively little research exists on single-skill math (SSM) curriculum-based measurements (CBMs) for the purpose of monitoring growth, as may be done in practice or when monitoring intervention effectiveness within group or single-case research. Therefore, we examined a common variant of SSM-CBM: 1 digit × 1 digit multiplication. Reflecting…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Mathematics Skills, Multiplication
Ames, Allison J.; Leventhal, Brian C.; Ezike, Nnamdi C. – Measurement: Interdisciplinary Research and Perspectives, 2020
Data simulation and Monte Carlo simulation studies are important skills for researchers and practitioners of educational and psychological measurement, but there are few resources on the topic specific to item response theory. Even fewer resources exist on the statistical software techniques to implement simulation studies. This article presents…
Descriptors: Monte Carlo Methods, Item Response Theory, Simulation, Computer Software
Blumenberg, Cauane; Menezes, Ana M. B.; Gonçalves, Helen; Assunção, Maria Cecília Formoso; Wehrmeister, Fernando C.; Barros, Fernando C.; Barros, Aluisio J. D. – International Journal of Social Research Methodology, 2019
Introduction: Web-based epidemiologic surveys are being widely used, but still present lower response rates compared to traditional methods. Their design can influence survey response rates. Objective: Analyse the influence of questionnaire length, frequency of reminders, and the interaction between them, on the response rates of five web-based…
Descriptors: Questionnaires, Test Length, Response Rates (Questionnaires), Online Surveys
Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
Patton, Jeffrey M.; Cheng, Ying; Hong, Maxwell; Diao, Qi – Journal of Educational and Behavioral Statistics, 2019
In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…
Descriptors: Test Items, Response Style (Tests), Identification, Computation
Rice, Kenneth G.; Srisarajivakul, Emily N.; Meyers, Joel; Varjas, Kris – School Psychology, 2019
One evaluation measure available through the Positive Behavioral Interventions and Supports framework is the Effective Behavior Support Self-Assessment Survey (SAS). Evaluations of the SAS have supported its factor structure. However, the SAS is designed to be completed by school personnel who are nested within other levels of analysis (e.g.,…
Descriptors: Factor Analysis, Factor Structure, Self Evaluation (Individuals), Teacher Surveys
Mameli, Consuelo; Passini, Stefano – Journal of Psychoeducational Assessment, 2019
The elusive character of student agency makes it a relevant construct to be investigated and measured. An initial effort in this direction was represented by the Agentic Engagement Scale, a five-item instrument designed to assess the degree to which students constructively contribute to the flow of the instructions they receive from the teacher.…
Descriptors: Measures (Individuals), Test Construction, Test Validity, Learner Engagement

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