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Klemencic, Eva; Mirazchiyski, Plamen Vladkov – Comparative Education, 2018
International large-scale student assessments (ILSAs) in education represent a valuable source of information for policy-makers, not only on student achievements, but also on their relationship with different contextual factors. The results are partly described in the official studies' reports; more can be derived from the publicly released data…
Descriptors: Evidence Based Practice, Educational Administration, International Assessment, Policy Formation
Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
Whitfield, Christina; Armstrong, John; Weeden, Dustin – State Higher Education Executive Officers, 2019
Since 2010, the State Higher Education Executive Officers Association (SHEEO) has periodically administered the "Strong Foundations" survey, which documents the content, structure, and effective use of state postsecondary student unit record systems (PSURSs). This report highlights the results of the fourth administration of the survey,…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Armstrong, John; Whitfield, Christina – State Higher Education Executive Officers, 2016
This report addresses two key questions about postsecondary student unit record data systems (PSURSs): (1) What data are collected by various parties; and (2) how do these entities use the data to inform policy decisions? This 2016 report is both a follow-up and a redesign of two previous "Strong Foundations" reports by SHEEO (2010 and…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Creamer, Elizabeth G.; Ghoston, Michelle R.; Drape, Tiffany; Ruff, Chloe; Mukuni, Joseph – International Journal of Teaching and Learning in Higher Education, 2012
Popular movies were used in a doctoral-level qualitative research methods course as a way to help students learn about how to collect and analyze qualitative observational data in order to develop a grounded theory. The course was designed in such a way that collaboration was central to the generation of knowledge. Using media depictions had the…
Descriptors: Teaching Methods, Grounded Theory, Qualitative Research, Methods Courses
Mathies, Charles; Valimaa, Jussi – Tertiary Education and Management, 2013
Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…
Descriptors: Higher Education, Institutional Evaluation, Governance, Data Analysis
McGuinn, Patrick – State Education Standard, 2015
The "Race to the Top" competitive grant program initiated a wave of teacher evaluation reform, which scholars and policymakers have long identified as critical to improving teacher quality and student performance. State boards of education (SBEs) and state education agencies (SEAs) took different approaches to these reforms, and as a…
Descriptors: Teacher Evaluation, State Policy, Case Studies, Program Implementation
Parmer, Sondra M.; Parmer, Greg; Struempler, Barb – Journal of Extension, 2012
Using clickers to gauge student understanding in large classrooms is well documented. Less well known is the effectiveness of using clickers with youth for test taking in large-scale Extension programs. This article describes the benefits and challenges of collecting evaluation data using clickers with a third-grade population participating in a…
Descriptors: Data Collection, Audience Response Systems, Research Methodology, Technology Uses in Education
Puma, Michael J.; Olsen, Robert B.; Bell, Stephen H.; Price, Cristofer – National Center for Education Evaluation and Regional Assistance, 2009
This NCEE Technical Methods report examines how to address the problem of missing data in the analysis of data in Randomized Controlled Trials (RCTs) of educational interventions, with a particular focus on the common educational situation in which groups of students such as entire classrooms or schools are randomized. Missing outcome data are a…
Descriptors: Educational Research, Research Design, Research Methodology, Control Groups
Mallory, W. J. – Training and Development Journal, 1982
This article explains a performance-oriented approach to outlining technical training needs. The performance improvement cycle is discussed and the three main activities in that cycle are described. They include need detection, task identification, and collection of task performance data. (CT)
Descriptors: Data Collection, Needs Assessment, Performance Factors, Task Analysis
Brown, Mark G. – Training and Development Journal, 1980
Presents an evaluation design which, because of its simplicity and the ease with which the data collected may be analyzed, is ideal for use in the "real world" as a practical method for evaluating the impact of training on employee behavior. (CT)
Descriptors: Data Analysis, Data Collection, Employee Attitudes, Evaluation Methods

Carliner, Saul – Performance Improvement, 1997
Proposes a four-level model for adapting the Kirkpatrick model of training evaluation to suit technical manuals and services assessing: (1) user satisfaction; (2) user performance; (3) client performance; and (4) client satisfaction. Discusses assessing of the value of work, limitations in evaluating technical communication products, and the…
Descriptors: Data Collection, Employment Practices, Evaluation Criteria, Evaluation Methods
Stewart, E. Elizabeth – 1981
Context effects are defined as being influences on test performance associated with the content of successively presented test items or sections. Four types of context effects are identified: (1) direct context effects (practice effects) which occur when performance on items is affected by the examinee having been exposed to similar types of…
Descriptors: Context Effect, Data Collection, Error of Measurement, Evaluation Methods
Clements, Barbara S.; Blank, Rolf K. – 1997
Nearly all the states produce one or more accountability or indicator reports containing data reported at one or more levels of the education system as well as data from other sources. To inform discussion about what data are useful and appropriate to report, comparisons were made of state accountability and indicator reports. A list of 74…
Descriptors: Academic Achievement, Accountability, Comparative Analysis, Data Analysis
Kugle, Cherry; Smith, Nancy – Data Quality Campaign, 2006
The Data Quality Campaign is a national, collaborative effort to encourage and support state policymakers to improve the collection, availability and use of high-quality education data and to implement state longitudinal data systems to improve student achievement. The campaign aims to provide tools and resources that will assist state development…
Descriptors: Case Studies, State Agencies, Program Effectiveness, Management Information Systems
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