Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 14 |
Descriptor
Source
Author
Pratt, Daniel J. | 3 |
Dever, Jill A. | 2 |
Fritch, Laura Burns | 2 |
Herget, Deborah R. | 2 |
Ingels, Steven J. | 2 |
Kitmitto, Sami | 2 |
Leinwand, Steve | 2 |
Ottem, Randolph | 2 |
Rogers, James E. | 2 |
Bennett, Trude | 1 |
Biber, Melissa | 1 |
More ▼ |
Publication Type
Education Level
Elementary Secondary Education | 5 |
Postsecondary Education | 4 |
Higher Education | 3 |
Adult Education | 2 |
High Schools | 2 |
Secondary Education | 2 |
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 1 | 1 |
Grade 2 | 1 |
Grade 3 | 1 |
More ▼ |
Audience
Researchers | 4 |
Practitioners | 3 |
Policymakers | 2 |
Teachers | 1 |
Laws, Policies, & Programs
Freedom of Information Act | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Molina, Julian – Evidence & Policy: A Journal of Research, Debate and Practice, 2019
This article describes how statistics are scrutinised as evidence. It focuses on the uses of a labour market statistic during House of Commons select committee evidence sessions. The statistic in question was '55.5% of economically active black men, aged 16-24, are unemployed'. The article describes how this individual piece of evidence was…
Descriptors: Statistical Data, Data Use, Labor Market, Unemployment
Northwest Evaluation Association, 2015
Northwest Evaluation Association™ (NWEA™) conducts norming studies every several years to provide the best and most up-to-date information we can about student achievement and growth to better support educational decision-making. It is an important part of our commitment to our partners. The most recent NWEA norms were released in July 2015. Just…
Descriptors: Benchmarking, Value Added Models, Academic Standards, Student Improvement
Moraveji, Behjat; Jafarian, Koorosh – International Journal of Education and Literacy Studies, 2014
The aim of this paper is to provide an introduction of new imputation algorithms for estimating missing values from official statistics in larger data sets of data pre-processing, or outliers. The goal is to propose a new algorithm called IRMI (iterative robust model-based imputation). This algorithm is able to deal with all challenges like…
Descriptors: Mathematics, Computation, Robustness (Statistics), Regression (Statistics)
Rom, Mark Carl – Journal of Political Science Education, 2015
Data visualization is the term used to describe the methods and technologies used to allow the exploration and communication of quantitative information graphically. Data visualization is a rapidly growing and evolving discipline, and visualizations are widely used to cover politics. Yet, while popular and scholarly publications widely use…
Descriptors: Teaching Methods, Research Methodology, Statistical Data, Visualization
Nordtveit, Bjorn Harald – Comparative Education, 2011
This article discusses how history, the cultural setting, and the political-ideological contexts may influence educational research in China. It seeks to demonstrate a dichotomy between official and popular discourses, and argues that there is a need for the researcher to understand and interpret the language style used in various interview…
Descriptors: Language Usage, Educational Research, Foreign Countries, Cultural Influences
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
This manual has been produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use of the public-use data…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
The manual that accompanies these appendices was produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
Weston, Margaret – Public Policy Institute of California, 2010
This document presents the technical appendices accompanying the report, "Funding California Schools: The Revenue Limit System." Included are: (1) Revenue Limit Calculation and Decomposition; (2) Data and Methods; and (3) Base Funding Alternative Simulation Results. (Contains 5 tables and 26 footnotes.) [For the main report,…
Descriptors: Income, Educational Finance, Statistical Data, Research Methodology
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
Maxwell, Joseph A. – Qualitative Inquiry, 2010
The use of numerical/quantitative data in qualitative research studies and reports has been controversial. Prominent qualitative researchers such as Howard Becker and Martyn Hammersley have supported the inclusion of what Becker called "quasi-statistics": simple counts of things to make statements such as "some," "usually," and "most" more…
Descriptors: Qualitative Research, Methods Research, Statistical Data, Data Collection
Harvey, Brian – National Centre for Vocational Education Research (NCVER), 2010
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER (National Centre for Vocational Education Research) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred…
Descriptors: Foreign Countries, Vocational Education, Trainees, Data Analysis
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Strange, Marty; Johnson, Jerry; Showalter, Daniel; Klein, Robert – Rural School and Community Trust, 2012
"Why Rural Matters 2011-12" is the sixth in a series of biennial reports analyzing the contexts and conditions of rural education in each of the 50 states and calling attention to the need for policymakers to address rural education issues in their respective states. While it is the sixth in a series, this report is not simply an…
Descriptors: Rural Schools, Rural Education, Educational Policy, Annual Reports

Wachter, Kenneth W. – Science, 1988
Defines meta-analysis as statistical procedures for combining results from previous separate studies. Discusses four charges promoted by some skeptics as it relates to this statistical procedure. States that many of the trends making a place for meta-analysis are disturbing. (RT)
Descriptors: Comparative Analysis, Effect Size, Higher Education, Meta Analysis

McMillan, Julie; Western, John – Higher Education, 2000
Criticizes the accuracy of the methodology currently used by the Australian Department of Education, Training and Youth Affairs for identifying socioeconomic status of higher education students. Proposes new individually based measures related to the occupation and education of parents when the student was in high school. (Author/DB)
Descriptors: College Students, Foreign Countries, Higher Education, Research Methodology