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Iannario, Maria; Tarantola, Claudia – Sociological Methods & Research, 2023
This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…
Descriptors: Data Analysis, Data Interpretation, Probability, Models
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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
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Meiko Lin; Erin Bumgarner; Madhabi Chatterji – Quality Assurance in Education: An International Perspective, 2014
Purpose: This policy brief, the third in the AERI-NEPC eBrief series "Understanding validity issues around the world", discusses validity issues surrounding International Large Scale Assessment (ILSA) programs. ILSA programs, such as the well-known Programme of International Student Assessment (PISA) and the Trends in International…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Elementary Secondary Education
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Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Experimental data are analysed statistically to allow researchers to draw conclusions from a limited set of measurements. The hard fact is that researchers can never be certain that measurements from a sample will exactly reflect the properties of the entire group of possible candidates available to be studied (although using a sample is often the…
Descriptors: Educational Research, Statistical Inference, Data Interpretation, Probability
Diakow, Ronli Phyllis – ProQuest LLC, 2013
This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…
Descriptors: Inferences, Educational Assessment, Academic Achievement, Educational Research
Lawton, Stephen B. – School Business Affairs, 2001
A data-management system adhering to seven principles (concerned with defining and measuring characteristics and their interrelationships) is feasible and exists in parts, if not as an integrated whole. Present data-collection and reportage systems lack the real-time, analytic longitudinal characteristics that contemporary technology promises and…
Descriptors: Administrative Problems, Data Analysis, Data Interpretation, Database Management Systems
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Palmer, Alfred C. – Science Teacher, 1986
Describes an activity for determining how long and when a tree lived by comparing its ring sizes with local precipitation records. Suggests benefits for this type of dendrochronology activity. (TW)
Descriptors: Climate, Data Analysis, Data Collection, Data Interpretation
North Central Regional Educational Lab., Naperville, IL. – 2002
This 20-minute videotape features 2 schools that have maintained a school culture based on using myriad data sources and processes to fuel their school-improvement activities. In the video the voices of teachers and administrators in each school articulate the ways they have used data to improve student achievement. They highlight numerous data…
Descriptors: Academic Achievement, Achievement Tests, Data Analysis, Data Collection