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Andrew D. Ho – Journal of Educational and Behavioral Statistics, 2024
I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for…
Descriptors: Artificial Intelligence, Measurement, Educational Assessment, Technology Uses in Education
Piattoeva, Nelli – Educational Assessment, Evaluation and Accountability, 2021
The proliferation of standardized testing and administrative statistics in compulsory education is embedded in the rise to prominence of quantified accountability as a mechanism of education governance. Numbers work by stripping away the contexts of their production and the granular and ambiguous detail of the phenomena they claim to represent.…
Descriptors: Accountability, Educational Policy, Educational Change, Educational Quality
Rhemtulla, Mijke; van Bork, Riet; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2015
In this commentary, Mijke Rhemtulla, Riet van Bork, and Denny Borsboom write that they were delighted to see Bainter and Bollen's paper as a focus article in "Measurement." In their view, psychological researchers who use SEM rely too reflexively on reflective measurement, without sufficiently considering whether their indicators are…
Descriptors: Causal Models, Measurement, Data Interpretation, Statistical Data
Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…
Descriptors: Causal Models, Measurement, Data Interpretation, Structural Equation Models
Juszkiewicz, Jolanta – American Association of Community Colleges, 2015
This is the second of a series of reports on trends in national community college enrollments. National community college enrollments continue to decrease, with variations at the state and local levels. The report also examines completion rates published by the U.S. Department of Education (ED) based on institutional level reporting, and those…
Descriptors: Educational Trends, Community Colleges, Enrollment Trends, Statistical Data
Hirschfeld, Gerrit; von Brachel, Ruth – Practical Assessment, Research & Evaluation, 2014
Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely…
Descriptors: Factor Analysis, Measurement, Computer Software, Open Source Technology
Lepori, Benedetto; Bonaccorsi, Andrea – Minerva: A Review of Science, Learning and Policy, 2013
This paper reports on an experiment concerning the social construction of statistical definitions, where the first census of Higher Education Institutions in Europe has been developed. It conceptualizes the construction of indicators as a social process of definitions and boundaries' negotiation, involving value judgments, social and political…
Descriptors: Foreign Countries, Higher Education, Statistical Data, Measurement
Hayes, Kevin – Teaching Statistics: An International Journal for Teachers, 2010
This article considers prototype data sets that attain lower and upper bounds on the standard deviation in terms of the range.
Descriptors: Statistics, Measurement, Statistical Data
Hardin, Andrew M.; Chang, Jerry Cha-Jan; Fuller, Mark A.; Torkzadeh, Gholamreza – Educational and Psychological Measurement, 2011
The use of causal indicators to formatively measure latent constructs appears to be on the rise, despite what appears to be a troubling lack of consistency in their application. Scholars in any discipline are responsible not only for advancing theoretical knowledge in their domain of study but also for addressing methodological issues that…
Descriptors: Structural Equation Models, Measurement, Statistical Data, Meta Analysis
Monpas-Huber, Jack B. – Journal of School Leadership, 2010
Accountability policies imply much about high school teachers' abilities and willingness to use state assessment data to improve instruction. This study asked what teacher- and school-level variables best predict how frequently teachers use state assessment data and how much instructional benefit they derive from use of data. Research has…
Descriptors: Secondary School Teachers, Teacher Motivation, Information Utilization, Statistical Data
Michelson, William – Social Indicators Research, 2011
Time-use analyses typically report the duration and frequency of pursuing specific types of activity. But how people evaluate what they report doing is not necessarily evident without additional, complementary forms of data. There are many alternative approaches to the measurement of subjective aspects of daily time-use, ranging from short term…
Descriptors: Foreign Countries, Time Management, Social Indicators, Measurement
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
Berlowitz, Leslie – Liberal Education, 2010
Scientists have long recognized the value of having statistical data to measure the scope and vitality of education, research, and workforce development in their fields. Such data support evidence-based policy discussions in professional and governmental forums. Since 1982, the National Science Board has been required by law to publish…
Descriptors: Evidence, Higher Education, Elementary Secondary Education, Demonstration Programs
Johnson, David S. – Journal of Policy Analysis and Management, 2009
At the Joint OECD/University of Maryland Conference on "Measuring Poverty, Income Inequality, and Social Exclusion: Lessons from Europe" (held in Paris, 2009), many of the conference papers focused on alternative measures of income, evaluating their impacts on inequality and poverty. The conference papers highlighted the impact of making…
Descriptors: Poverty, Demography, Income, Taxes
Saltelli, Andrea; D'Hombres, Beatrice; Jesinghaus, Jochen; Manca, Anna Rita; Mascherini, Massimiliano; Nardo, Michela; Saisana, Michaela – Social Indicators Research, 2011
This paper looks at the role of "statistics-based knowledge" in the making of EU policy. We highlight "shortcomings" in the use of statistical indicators made in the course of the Lisbon strategy, ended in 2010. In our opinion the shortcomings are: (i) The paradox of the "coexistence" within the same European…
Descriptors: Foreign Countries, Sustainable Development, Statistical Data, Public Policy