NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 104 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Anthony Fernandes; Ksenija Simic-Muller; Travis Weiland – Mathematics Teacher Educator, 2025
Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real…
Descriptors: Preservice Teachers, Racism, Statistical Data, Statistics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Lem, Stephanie; Baert, Kathy; Ceulemans, Eva; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2017
The ability to interpret graphs is highly important in modern society, but has proven to be a challenge for many people. In this paper, two teaching methods were used to remediate one specific misinterpretation: the area misinterpretation of box plots. First, we used refutational text to explicitly state and invalidate the area misinterpretation…
Descriptors: Graphs, Teaching Methods, Misconceptions, Statistical Data
Peer reviewed Peer reviewed
Direct linkDirect link
Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Kwiatkowska-White, Bozena; Kirby, John R.; Lee, Elizabeth A. – Journal of Psychoeducational Assessment, 2016
This longitudinal study of 78 Canadian English-speaking students examined the applicability of the stability, cumulative, and compensatory models in reading comprehension development. Archival government-mandated assessments of reading comprehension at Grades 3, 6, and 10, and the Canadian Test of Basic Skills measure of reading comprehension…
Descriptors: Longitudinal Studies, Reading Comprehension, Reading Achievement, Models
Ahn, June – Thomas B. Fordham Institute, 2016
This Fordham study, conducted by learning technology researcher June Ahn from NYU, dives into one of the most promising-and contentious-issues in education today: virtual schools. What type of students choose them? Which online courses do students take? Do virtual schools lead to improved outcomes for kids? With over thirty-five thousand students…
Descriptors: Charter Schools, Virtual Classrooms, Enrollment Rate, Academic Achievement
Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
Peer reviewed Peer reviewed
Direct linkDirect link
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Peer reviewed Peer reviewed
Direct linkDirect link
Echon, Roger M. – Journal of Child Nutrition & Management, 2014
Purpose/Objectives: The purpose of this paper is to provide baseline data and characteristics of food served and consumed prior to the recently mandated nutrition standards as authorized by the Healthy, Hunger-Free Kids Act of 2010 (HHFKA). Methods: Over 600,000 school lunch menus with associated food production records from 61 elementary schools…
Descriptors: Lunch Programs, Food Service, Food Standards, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
DeFina, Robert; Hannon, Lance – Crime & Delinquency, 2013
During the past 30 years, U.S. poverty has remained high despite overall economic growth. At the same time, incarceration rates have risen by more than 300%, a phenomenon that many analysts have referred to as mass incarceration. This article explores whether the mass incarceration of the past few decades impeded progress toward poverty reduction.…
Descriptors: Poverty, Institutionalized Persons, Correctional Institutions, Crime
Peer reviewed Peer reviewed
Direct linkDirect link
Eshetu, Amogne Asfaw – Educational Research and Reviews, 2015
Gender is among the determinant factors affecting students' academic achievement. This paper tried to investigate the impact of gender on academic performance of preparatory secondary school students based on 2014 EHEECE result. Ex post facto research design was used. To that end, data were collected from 3243 students from eight purposively…
Descriptors: Academic Achievement, Gender Differences, Case Studies, Secondary School Students
Kaplan, David; Turner, Alyn – OECD Publishing (NJ1), 2012
The OECD Program for International Student Assessment (PISA) and the OECD Teaching and Learning International Survey (TALIS) constitute two of the largest ongoing international student and teacher surveys presently underway. Data generated from these surveys offer researchers and policy-makers opportunities to identify particular educational…
Descriptors: Outcomes of Education, Teacher Surveys, Policy Analysis, Educational Change
Peer reviewed Peer reviewed
Direct linkDirect link
Nordstokke, David W.; Zumbo, Bruno D.; Cairns, Sharon L.; Saklofske, Donald H. – Practical Assessment, Research & Evaluation, 2011
Many assessment and evaluation studies use statistical hypothesis tests, such as the independent samples t test or analysis of variance, to test the equality of two or more means for gender, age groups, cultures or language group comparisons. In addition, some, but far fewer, studies compare variability across these same groups or research…
Descriptors: Nonparametric Statistics, Statistical Analysis, Error of Measurement, Statistical Data
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hu, Shouping; Park, Toby J.; Woods, Chenoa S.; Tandberg, David A.; Richard, Keith; Hankerson, Dava – Regional Educational Laboratory Southeast, 2016
Developmental education courses in college--defined as classes taken in college that are below college level (Bautsch, 2013)--have come under increased scrutiny in recent years. Concerns focus on the large number of students enrolled in developmental education courses, the high cost of providing them, and the low success rates among students who…
Descriptors: Developmental Programs, Educational Change, Educational Policy, Investigations
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7