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Slater, Michael D. – 1989
The use of messages as experimental stimuli brings with it problems regarding the interpretability and generalizability of findings. Some psychologists and communication researchers have argued that message stimuli must be treated as random effects. A review of the literature examined data regarding experimental designs used in recent…
Descriptors: Communication Research, Data Interpretation, Higher Education, Literature Reviews
Gray, Wayne D. – 1984
This paper presents a framework for monitoring implementation which defines a process for implementing new programs into organizations. The process requires a team of monitors who examine the adequacy of implementation plans and look at the effect of plan execution upon the organization, individual, and new program. Immediate feedback is provided…
Descriptors: Data Interpretation, Evaluation Methods, Evaluators, Feedback

Samuels, S. Jay – Exceptional Children, 1987
The article examines reasons for discrepant findings in two studies of attention differences in learning disabled students, focusing on four interacting factors in experimental research: task, materials, context, and subject characteristics. It is suggested that attentional deficits are not necessarily the underlying problem for all students with…
Descriptors: Attention Deficit Disorders, Cognitive Processes, Data Interpretation, Exceptional Child Research

Krupski, Antoinette – Exceptional Children, 1987
Apparent inconsistencies in the study of attention problems are not a function of the data, but of the belief system that underlies and guides data interpretation. Attention problems are more accurately viewed as a symptom of a more fundamental cognitive limitation, rather than the primary source of underachievement or learning problems.…
Descriptors: Attention Deficit Disorders, Cognitive Processes, Data Interpretation, Exceptional Child Research

Hellison, Don – Quest, 1988
A discourse on methodology in teaching research is given and a call is made for researchers to pay more attention to the subjectivity of experience, social problems, the empowerment of students and teachers, and alternatives to the empirical-analytical research paradigm. (JL)
Descriptors: Data Interpretation, Educational Research, Higher Education, Individual Development

Whiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education
Skiba, Russell J.; And Others – Diagnostique, 1986
The statistical properties of curriculum-based time-series data were investigated for 67 learning disabled students (grades 1-7). Results suggest that reading growth over time may be described by a negatively accelerated curve and that the statistical characteristics of time-series data are not necessarily independent in naturally occurring data.…
Descriptors: Data Interpretation, Elementary Education, Learning Disabilities, Reading Instruction

Kunen, Seth; And Others – Journal of Experimental Child Psychology, 1987
Study examines the role of figural characteristics in the development of pictorial inferences. Results indicate that although the pictorial inferences drawn by kindergarteners are heavily influenced by figural representations, such figural dependency cannot account for all of the observed developmental differences. (Author/RWB)
Descriptors: Data Interpretation, Elementary School Students, Kindergarten Children, Perception

Pavur, Robert; Nath, Ravinder – Multivariate Behavioral Research, 1984
Several general correlation patterns are shown which give exact F tests in an analysis of variance (ANOVA) procedure. They are the most general correlation patterns one can assume in a one-way and two-way layout and still have the F tests be valid. (Author/BW)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Data Interpretation

Howe, Kenneth R. – Educational Researcher, 1985
In educational research, rigid distinctions between the relative merits of quantitative research often rest on positivistic dogma. In contrast, post-positivistic thought eliminates the intractable problem engendered by positivistic epistemology of a forced choice between value-laden and value-free research methods. (KH)
Descriptors: Bias, Data Interpretation, Educational Research, Inferences
Scherr, Rachel E.; Wittmann, Michael C. – 2003
This study's interests dictate which statements researchers attend to during interviews and which ones researchers consider to constitute data during later analysis. The paper shows that hearing all of what students are saying requires careful effort. Explicit consideration of possible research agendas is suggested to increase opportunities for…
Descriptors: Agenda Setting, Data Interpretation, Educational Research, Elementary Secondary Education
Saldana, Johnny – 2003
This book outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants, and presents 16 questions through which researchers can approach the analysis of longitudinal qualitative data. The chapters are: (1) "Longitudinal Qualitative Studies, Time, and…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Educational Research
Bernhardt, Victoria L. – 1998
Data can help identify solutions to some of the biggest problems in schools. Yet few schools use data effectively. The purpose of this book is to help schools become aware of the advantages of collecting and using data (data analysis) for overall school improvement. The book begins with an overview of the current state of education and the…
Descriptors: Automation, Data Analysis, Data Collection, Data Interpretation
Baker, Ryan Shaun; Corbett, Albert T.; Koedinger, Kenneth R. – 2002
Data analysis has become a topic of increasing emphasis within middle school mathematics in the last few years, especially in the recent recommendations by the National Council of Teachers of Mathematics (NCTM 2000). In order to better inform efforts to expand data analysis's role in middle school curricula, we have begun the development of a…
Descriptors: Data Analysis, Data Interpretation, Mathematics Education, Middle School Students

Daemmrich, Ingrid G.; Duwel, Laura – Journal of College Science Teaching, 2002
Reports how students use raw data to create a number of narratives integrating group observations in the laboratory with individual responses to humanities readings. (Contains 21 references.) (DDR)
Descriptors: Data Interpretation, Higher Education, Integrated Curriculum, Interdisciplinary Approach