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Li, Dongmei; Yi, Qing; Harris, Deborah – ACT, Inc., 2017
In preparation for online administration of the ACT® test, ACT conducted studies to examine the comparability of scores between online and paper administrations, including a timing study in fall 2013, a mode comparability study in spring 2014, and a second mode comparability study in spring 2015. This report presents major findings from these…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Comparative Analysis, Test Format
Burstein, Jill; McCaffrey, Dan; Beigman Klebanov, Beata; Ling, Guangming – Grantee Submission, 2017
No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…
Descriptors: Computer Software, Writing Evaluation, Writing Achievement, College Students
Peters, Joshua A. – ProQuest LLC, 2016
There is a lack of knowledge in whether there is a difference in results for students on paper and pencil high stakes assessments and computer-based high stakes assessments when considering race and/or free and reduced lunch status. The purpose of this study was to add new knowledge to this field of study by determining whether there is a…
Descriptors: Comparative Analysis, Computer Assisted Testing, Lunch Programs, High Stakes Tests
Welch, Matthew; Feygin, Amy; English, David – Midwest Comprehensive Center, 2018
This brief presents a review of research and current state practices as they relate to measures that Iowa might consider for its federal accountability indicator of school quality or student success--specifically, for inclusion within a composite index of postsecondary readiness. Section 1 of this brief introduces a framework for evaluating and…
Descriptors: College Readiness, Career Readiness, Educational Indicators, Accountability
Westrick, Paul A.; Allen, Jeff – ACT, Inc., 2014
We examined the validity of using Compass® test scores and high school grade point average (GPA) for placing students in first-year college courses and for identifying students at risk of not succeeding. Consistent with other research, the combination of high school GPA and Compass scores performed better than either measure used alone. Results…
Descriptors: Grade Point Average, College Readiness, College Entrance Examinations, Computer Assisted Testing
Pike, Gary R.; Hansen, Michele J.; Childress, Janice E. – Journal of College Student Retention: Research, Theory & Practice, 2014
The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…
Descriptors: Student Characteristics, Educational Experience, Correlation, Expectation
Davison, Mark L.; Semmes, Robert; Huang, Lan; Close, Catherine N. – Educational and Psychological Measurement, 2012
Data from 181 college students were used to assess whether math reasoning item response times in computerized testing can provide valid and reliable measures of a speed dimension. The alternate forms reliability of the speed dimension was .85. A two-dimensional structural equation model suggests that the speed dimension is related to the accuracy…
Descriptors: Computer Assisted Testing, Reaction Time, Reliability, Validity
Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
Ryan, Barbara A. – ProQuest LLC, 2012
Beginning with the No Child Left Behind federal legislation, states were required to use data to monitor and improve student achievement. For high schools, the Missouri Department of Elementary and Secondary Education chose End of Course Exams (EOC) to demonstrate levels of student achievement. The policy changed from school choice of paper-pencil…
Descriptors: Federal Government, Testing, Grade Point Average, Predictor Variables
Kurby, Christopher A.; Magliano, Joseph P.; Dandotkar, Srikanth; Woehrle, James; Gilliam, Sara; McNamara, Danielle S. – Journal of Educational Computing Research, 2012
This study assessed whether and how self-explanation reading training, provided by iSTART (Interactive Strategy Training for Active Reading and Thinking), improves the effectiveness of comprehension processes. iSTART teaches students how to self-explain and which strategies will most effectively aid comprehension from moment-to-moment. We used…
Descriptors: Computer Assisted Testing, Federal Aid, Control Groups, Experimental Groups
Yin, Alexander C.; Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
After surveying 1,827 students in their final year at eighty randomly selected two-year and four-year public and private institutions, American Institutes for Research (2006) reported that approximately 30 percent of students in two-year institutions and nearly 20 percent of students in four-year institutions have only basic quantitative…
Descriptors: Standardized Tests, Basic Skills, College Admission, Educational Testing
McPherson, Douglas – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to describe how and why Texas A&M University at Qatar (TAMUQ) has developed a system aiming to effectively place students in freshman and developmental English programs. The placement system includes: triangulating data from external test scores, with scores from a panel-marked hand-written essay (HWE),…
Descriptors: Student Placement, Educational Testing, English (Second Language), Second Language Instruction
Peer reviewedArmstrong, R. D.; And Others – Applied Psychological Measurement, 1996
When the network-flow algorithm (NFA) and the average growth approximation algorithm (AGAA) were used for automated test assembly with American College Test and Armed Services Vocational Aptitude Battery item banks, results indicate that reasonable error in item parameters is not harmful for test assembly using NFA or AGAA. (SLD)
Descriptors: Algorithms, Aptitude Tests, College Entrance Examinations, Computer Assisted Testing
Ackerman, Terry A. – 1989
The purpose of this paper is to report results on the development of a new computer-assisted methodology for creating parallel test forms using the item response theory (IRT) information function. Recently, several researchers have approached test construction from a mathematical programming perspective. However, these procedures require…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Computer Software, Higher Education
Spray, Judith A.; Abdel-fattah, Abdel-fattah A.; Huang, Chi-Yu; Lau, C. Allen – 1997
The primary concern or focus of a certification or licensure test is to obtain valid criterion-referenced information regarding a candidate's competence to practice. When the test is administered by computer, a valid pass/fail decision can be made with fewer items than an equivalent paper/pencil test by targeting items at the passing score and…
Descriptors: Classification, Competence, Computer Assisted Testing, Item Banks

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