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Download full textAkhtar, Hanif – International Association for Development of the Information Society, 2022
When examinees perceive a test as low stakes, it is logical to assume that some of them will not put out their maximum effort. This condition makes the validity of the test results more complicated. Although many studies have investigated motivational fluctuation across tests during a testing session, only a small number of studies have…
Descriptors: Intelligence Tests, Student Motivation, Test Validity, Student Attitudes
Direct linkEitel, Alexander; Prinz, Anja; Kollmer, Julia; Niessen, Lea; Russow, Jessica; Ludäscher, Marvin; Renkl, Alexander; Lindner, Marlit Annalena – Psychology Learning and Teaching, 2021
In this study, we present the newly developed "Misconceptions about Multimedia Learning Questionnaire" (MMLQ), we evaluate its psychometric properties (item difficulties, scale reliabilities, and internal structure), and we use it to examine the prevalence of four different misconceptions about multimedia learning in student teachers and…
Descriptors: Multimedia Instruction, Misconceptions, Questionnaires, Test Reliability
Kormos, Judit; Brunfaut, Tineke; Michel, Marije – Language Assessment Quarterly, 2020
Previous studies examined the association between motivational characteristics and language learning achievement, but considerably less is known about young language learners' task-specific motivation in assessment contexts. Our study investigated the task motivation of young learners of English when completing computer-administered integrated…
Descriptors: Computer Assisted Testing, English (Second Language), Second Language Learning, Student Motivation
Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
Ring, Malte; Brahm, Taiga; Randler, Christoph – International Journal of Science Education, 2019
In science, graphs are used to visualise data, relationships and scientific principles. Basic graph reading operations, i.e. reading single data points, recognising trends as well as conducting small extrapolations from the data are important skills for pupils and lay the groundwork for a comprehensive understanding of data visualisations across…
Descriptors: Graphs, Difficulty Level, Data Interpretation, Test Items
Lesnov, Roman O. – ProQuest LLC, 2018
Despite the growing recognition that second language (L2) listening is a skill incorporating the ability to process visual information along with the auditory stimulus, standardized L2 listening assessments have been predominantly operationalizing this language skill as visual-free (Buck, 2001; Kang, Gutierrez Arvizu, Chaipuapae, & Lesnov,…
Descriptors: Academic Discourse, Second Language Learning, Listening Comprehension Tests, Video Technology
Peer reviewedGerow, Joshua R. – Teaching of Psychology, 1980
Discusses a study to evaluate how test design influences student performance in elementary psychology courses. Findings indicated that the order in which test items appeared on an exam was less significant with regard to student performance than the extent to which test items were well-written and contained some measure of content validity.…
Descriptors: Academic Achievement, Difficulty Level, Higher Education, Psychology
Peck, Andrew C.; Ali, Rahan S.; Matchock, Robert L.; Levine, Max E. – Teaching of Psychology, 2006
Conventional wisdom is that some topics in introductory psychology are more difficult for students than others. Such wisdom seems reasonable given mismatches between students' and instructors' expectations and variations in both instructor expertise and student motivation across topical areas. Five instructors pooled students' exam performance…
Descriptors: Introductory Courses, Psychology, Academic Achievement, Scores
Peer reviewedWolf, Lisa F.; And Others – Applied Measurement in Education, 1995
The relationship between characteristics of test takers and characteristics of test items was examined in a quasiexperimental study involving 301 high school juniors and sophomores taking a mathematics examination that was consequential to sophomores but not juniors. Results are interpreted in relation to the expectancy value model of motivation.…
Descriptors: Difficulty Level, Grade 10, Grade 11, High School Students
Prestwood, J. Stephen; Weiss, David J. – 1978
Volunteer college students were assigned to one of six computer administered vocabulary tests, one half with immediate knowledge of results (KR) after responding to each item, and the other half without knowledge of results. The six tests were designed to be at one of three levels of difficulty and consisted either of 50 preselected items…
Descriptors: Academic Ability, Adaptive Testing, Anxiety, Computer Assisted Testing
Yepes-Baraya, Mario – 1996
The cognitive processes students use in doing the 1996 science assessment of the National Assessment of Educational Progress (NAEP) were studied using two booklets from the 1993 NAEP science field test. Blocks of items from these booklets, a hands-on task block and either a conceptual/problem solving block or a theme block, were administered to 16…
Descriptors: Cognitive Processes, Construct Validity, Difficulty Level, Grade 8
Peer reviewedClifford, Margaret M.; And Others – Journal of Experimental Education, 1990
Academic risk taking--the selection of schoollike tasks ranging in difficulty and probability of success--was examined for 602 students in grades 4, 6, and 8 in Taiwan. Results of a self-report measure of tolerance for failure and a risk-taking task are discussed concerning self-enhancement versus self-assessment goals, metacognitive skills, and…
Descriptors: Academic Achievement, Age Differences, Child Development, Cognitive Processes
