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Showing 1 to 15 of 16 results Save | Export
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Wolery, Mark; Dunlap, Glen – Journal of Early Intervention, 2001
This paper describes guidelines for reporting findings from studies using single subject methods, an approach from which early intervention has benefited substantially. Guidelines address: the foundations of the study, what was done to whom under what situations, what the data say, and what the findings mean. (Contains references.) (DB)
Descriptors: Data Collection, Data Interpretation, Disabilities, Early Intervention
Peer reviewed Peer reviewed
Ellis, Michael V. – Counselor Education and Supervision, 1991
Conceptualizes the process of conducting integrative research reviews as a data-gathering, empirically based procedure and offers guidelines for conducting such reviews. Introduces specific suggestions that were heretofore unaddressed. Maintains that efforts to standardize integrative review process and to ensure its scientific rigor in counselor…
Descriptors: Counseling, Counselor Educators, Counselor Training, Data Analysis
Peer reviewed Peer reviewed
McClure, Charles R. – Government Information Quarterly, 1985
Assesses the value of the Government Printing Office's 1983 "Biennial Survey" as a tool to support depository library planning and decision making. The survey data are evaluated in terms of reliability, validity, and utility, and recommendations are offered for improving the design, administration, and analysis of the survey. (CLB)
Descriptors: Data Collection, Data Interpretation, Decision Making, Depository Libraries
Royeen, Charlotte Brasic – 1986
In order to examine the possible effects of violation of assumptions using parametric procedures, this study is an exploratory investigation into the use of parametric versus nonparametric procedures using a multiple case study design. The case study investigation guidelines outlined by Yin served as the methodology. The following univariate…
Descriptors: Analysis of Variance, Data Analysis, Data Interpretation, Nonparametric Statistics
Peer reviewed Peer reviewed
Dutka, Solomon; Frankel, Lester R. – American Behavioral Scientist, 1993
Describes three classes of measurement techniques: (1) interviewing methods; (2) record retrieval procedures; and (3) observation methods. Discusses primary reasons for measurement error. Concludes that, although measurement error can be defined and controlled for, there are other design factors that also must be considered. (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment
Ross, Kenneth N. – Prospects, 1992
Contends that the high quality of the probability sampling used by the International Association for the Evaluation of Educational Achievement (IEA) is due, in large part, to procedures developed by IEA's first statistical consultant, Gilbert Peaker. Concludes that the Peaker process is a first-class sample design. (CFR)
Descriptors: Academic Achievement, Comparative Education, Cross Cultural Studies, Data Interpretation
Peer reviewed Peer reviewed
Carr, James E.; Austin, John – Teaching of Psychology, 1997
Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)
Descriptors: Causal Models, Data Collection, Data Interpretation, Demonstrations (Educational)
Schleicher, Andreas; Umar, Jahja – Prospects, 1992
Asserts that educational policymakers must measure student achievement and school system performance accurately to help provide skills demanded by society. Contends that many international surveys either fail to provide adequate and precise answers to the intended research questions or provide inaccurate and faulty results. (CFR)
Descriptors: Academic Achievement, Comparative Education, Cross Cultural Studies, Data Interpretation
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size
Peer reviewed Peer reviewed
Johnson, David E. – Teaching of Psychology, 1996
Provides an exercise for introducing research methods to undergraduates. The students view a graph revealing that left-handed people are underrepresented in older age groups. Small group discussions attempt to explain this phenomenon. A follow-up class discussion focuses on the different approaches and methods available for interpreting the data.…
Descriptors: Causal Models, Critical Thinking, Data Interpretation, Factor Analysis
Peer reviewed Peer reviewed
Troyna, Barry – Oxford Review of Education, 1995
Highlights issues and controversies concerning current race-related educational research. Contends that some critics believe research sacrifices empirical objectivity for political goals. Partisan research supporters respond that all research begins with untested assumptions and an acknowledgment of purpose does not signify a skewed methodology.…
Descriptors: Action Research, Bias, Data Interpretation, Educational Research
Peer reviewed Peer reviewed
Hosseini, Jamshid C.; Armacost, Robert L. – American Behavioral Scientist, 1993
Maintains that the need for gathering sensitive information frequently arises in planning and implementing organizational surveys. Describes methods of designing the instrument format and the mode of data collection. Provides a description and process summary of the Randomized Response Technique (RRT). (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment
Beaton, Albert E. – 1987
In 1982, the Educational Testing Service (ETS) proposed to implement a new, complex design for the National Assessment of Educational Progress (NAEP). The major features of this design are described in "A New Design for a New Era" (Messick, Beaton, and Lord, 1983). The purpose of this document is to describe the actual implementation of…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Piquemal, Nathalie; Kouritzin, Sandra – Canadian Journal of Education, 2006
In this article, we have examined how historical events shape the research process, even when research is carefully planned and rigorously executed. Through an examination of our experiences conducting international data collection during a three-year SSHRC funded period in which the War on Terrorism and the War in Iraq began, we suggest that…
Descriptors: Attitudes, Second Language Learning, Influences, Reliability
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