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Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
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Hays, Danica G.; Wood, Chris – Measurement and Evaluation in Counseling and Development, 2017
We present considerations for validity when a population outside of a normed sample is assessed and those data are interpreted. Using a career group counseling example exploring life satisfaction changes as evidenced by the Quality of Life Inventory (Frisch, 1994), we showcase qualitative and quantitative approaches to explore how normative data…
Descriptors: Data Interpretation, Scores, Quality of Life, Life Satisfaction
Singer, Judith D., Ed.; Braun, Henry I., Ed.; Chudowsky, Naomi, Ed. – National Academy of Education, 2018
Results from international large-scale assessments (ILSAs) garner considerable attention in the media, academia, and among policy makers. Although there is widespread recognition that ILSAs can provide useful information, there is debate about what types of comparisons are the most meaningful and what could be done to assure more sound…
Descriptors: International Education, Educational Assessment, Educational Policy, Data Interpretation
Reardon, Sean F.; Kalogrides, Demetra; Ho, Andrew D. – Stanford Center for Education Policy Analysis, 2017
There is no comprehensive database of U.S. district-level test scores that is comparable across states. We describe and evaluate a method for constructing such a database. First, we estimate linear, reliability-adjusted linking transformations from state test score scales to the scale of the National Assessment of Educational Progress (NAEP). We…
Descriptors: School Districts, Scores, Statistical Distributions, Database Design
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Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
Loveless, Tom – Brookings Institution, 2010
This year's Brown Center Report contains studies taking a long view. Part I examines national test data going back to 1971 from the National Assessment of Educational Progress (NAEP). The study in Part II compares the 1989 test scores of more than 1,000 schools to the same schools' scores in 2009. Part III compares the test scores of conversion…
Descriptors: Charter Schools, Academic Achievement, National Competency Tests, Comparative Analysis
Nahl, Diane; Harada, Violet H. – School Library Media Quarterly, 1996
A study of 191 juniors and seniors from 6 Oahu high schools tested their ability to interpret and construct search statements after reading brief instructions on concept analysis, Boolean operators, and search statement format. On average, students made two errors per statement; scores and types of errors are examined for influences of gender and…
Descriptors: Abstract Reasoning, Comparative Analysis, Data Interpretation, Error Analysis (Language)
Smith, Richard Alan – Computing Teacher, 1988
Discusses how to examine and evaluate claims of improved academic performance in advertisements for computer-assisted instruction. Highlights include the proper use of comparison groups; types of statistical analyses; the Hawthorne effect; the interpretation of scores; interpreting graphic presentations; tests of significance; and cost…
Descriptors: Academic Achievement, Achievement Gains, Advertising, Comparative Analysis