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Conley, Matthew D.; Colabucci, Lesley – Mid-Western Educational Researcher, 2009
In this paper, two beginning qualitative researchers describe the challenges and successes of conducting a collaborative self-study. For two academic years, the authors wrote and analyzed personal narratives related to their experiences as a lesbian and a gay man, respectively, in educational contexts. This article addresses the data analysis…
Descriptors: Qualitative Research, Figurative Language, Personal Narratives, Researchers
Peer reviewedThompson, Isabelle – Journal of Technical Writing and Communication, 1999
Discusses a theoretical framework for situating interpretations of textual data collected during research. Describes the framework as consisting of a continuum representing the range of interpretative assumptions (stances) researchers can bring to their reading of textual data. Presents the boundaries of the continuum to be the two most extreme…
Descriptors: Data Interpretation, Research Methodology, Writing Research
Graham, James M.; Guthrie, Abbie C.; Thompson, Bruce – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Confirmatory factor analysis (CFA) is a statistical procedure frequently used to test the fit of data to measurement models. Published CFA studies typically report factor pattern coefficients. Few reports, however, also present factor structure coefficients, which can be essential for the accurate interpretation of CFA results. The interpretation…
Descriptors: Factor Analysis, Factor Structure, Data Interpretation
Raychaudhuri, Debasree – International Journal of Mathematical Education in Science and Technology, 2008
In this note we develop a framework that makes explicit the inherent dynamic structure of certain mathematical definitions by means of the four facets of context-entity-process-object. These facets and their interrelations are then used to capture and interpret specific aspects of student constructions of the concept of solution to first order…
Descriptors: Mathematics Education, Calculus, Models, Definitions
Cunningham, Alisa – Change: The Magazine of Higher Learning, 2007
What people know about higher education may depend on which data they look at and how they examine them. Responsible analysts should present a full picture of their sources of data and the limitations of those sources, restricting their conclusions to those that the data genuinely warrant. When new research conflicts with previous results, enough…
Descriptors: Educational Assessment, Higher Education, Data Analysis, Context Effect
Pinou, Theodora; Flanigan, Hope A.; Drucker, Marjorie S. – Science and Children, 2009
Developing good record-keeping habits is essential for organizing, processing, and communicating experimental results objectively. Therefore, the authors designed an interactive method of teaching first graders to record, organize, and interpret data as they studied the life cycle of the spotted salamander ("Ambystoma maculatum"). In their…
Descriptors: Graphs, Grade 1, Developmental Stages, Water
Kanstoroom, Marci, Ed.; Osberg, Eric C., Ed. – Thomas B. Fordham Institute, 2008
America brims with education data and these days it seems everyone in education claims to be guided by data. In this book, leaders and scholars map the landscape of data providers and users and explores why what is supplied by the former but frequently fails to meet the needs of the latter. It documents the barriers to collecting good information,…
Descriptors: Education, Data, Data Analysis, Data Collection
Peer reviewedPetrides, Lisa A.; Guiney, Susan Zahra – Teachers College Record, 2002
Using examples from schools, this paper illustrates how knowledge management can enable schools to examine the plethora of data they collect and how an ecological framework can be used to transform these data into meaningful information. The paper highlights: the history of management information systems; shifts from information management to…
Descriptors: Data Interpretation, Elementary Secondary Education, Information Management
Peer reviewedLayzell, Daniel T.; Caruthers, J. Kent – Planning for Higher Education, 2002
Provides a basic overview of the concept of cost in higher education and related issues, discusses major consumers of higher education cost data and their perspectives, outlines the major sources of data on higher education costs, and describes some of the major (and perennial) issues related to higher education costs. (EV)
Descriptors: Costs, Data, Data Interpretation, Higher Education
Johnson, Timothy R. – Psychometrika, 2007
In this paper I present a class of discrete choice models for ordinal response variables based on a generalization of the stereotype model. The stereotype model can be derived and generalized as a random utility model for ordered alternatives. Random utility models can be specified to account for heteroscedastic and correlated utilities. In the…
Descriptors: Elementary School Students, Stereotypes, Response Style (Tests), Generalization
Swanson, Christopher B. – Editorial Projects in Education, 2008
Graduation rates have become a prominent feature in the landscape of high school reform and within the larger world of educational policy. Studies conducted over the past several years have repeatedly demonstrated that far fewer American students are completing high school with diplomas than had previously been realized. Whereas the conventional…
Descriptors: School Restructuring, Graduation Rate, Graduation, Metropolitan Areas
Wigton, Robert S. – Advances in Health Sciences Education, 2008
Every day physicians make judgments about patient management and diagnosis based on less than perfect information from many different sources. Judgment and decision-making research has taught us a great deal about such decisions, but these insights rarely find their way into the medical curriculum. One productive line of investigation in the study…
Descriptors: Medical Education, Physicians, Role Perception, Educational Theories
Love, Nancy; Stiles, Katherine E.; Mundry, Susan; DiRanna, Kathryn – Journal of Staff Development, 2008
School improvement without will and moral purpose--without a genuine commitment to all students--is an empty exercise in compliance that, in the authors' experience, can do more harm than good. The authors have seen educators use data to "more accurately" track students, further widening the opportunity-to-learn gap. In response to achievement…
Descriptors: Educational Change, Inferences, Student Improvement, Data Interpretation
Deal, Mary M.; Deal, Walter F., III – Technology Teacher, 2007
Mathematics and statistics play important roles in peoples' lives today. A day hardly passes that they are not bombarded with many different kinds of statistics. As consumers they see statistical information as they surf the web, watch television, listen to their satellite radios, or even read the nutrition facts panel on a cereal box in the…
Descriptors: Statistical Data, Statistics, Numeracy, Data Interpretation
Doerr, Helen M. – International Group for the Psychology of Mathematics Education, 2003
Recent research suggests that the examination of students' work may lead to changes in teaching practice that are more effective in terms of students' mathematical learning. However, the link between the examination of students' work and the teachers' actions in the classroom is largely unexamined, particularly at the secondary level. In this…
Descriptors: Mathematics Instruction, Teaching Methods, Professional Development, Models

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