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Crepinsek, Mary Kay; Cole, Nancy; Golding, Joanna – US Department of Agriculture, 2004
This Feasibility Study to Develop a Methodology to Monitor the Impact of Changes in Competitive Food Policies had two main goals: (1) Design and test a plan for collecting and analyzing data about competitive food policies and all foods offered and served to students at school; and (2) Provide a methodology for assessing the impact of changes in…
Descriptors: Data Collection, Data Analysis, Food Standards, Lunch Programs
Peer reviewed Peer reviewed
Mandeville, Garrett K. – American Educational Research Journal, 1972
Results of this study suggest that certain kinds of treatment differences may be better uncovered by viewing test data in a repeated measures format. (Author/MB)
Descriptors: Data Analysis, Data Collection, Factor Structure, Mathematical Models
Peer reviewed Peer reviewed
Lugar, Owen; Kelz, James – Rehabilitation Counseling Bulletin, 1971
The purpose of the study was to predict the outcome of a stroke victim's vocational rehabilitation through the use of demographic and medical data. Characteristics of stroke clients were used to develop an eight-factor stroke rating scale. Recommendations for further refinement of the scale were included. (Author)
Descriptors: Data, Data Analysis, Data Collection, Demography
Tammadge, Alan – Mathematics Teaching, 1971
A description of a week's work in mathematics carried out by a first year group of grammar school boys, answering the question which is the title of this article. (MM)
Descriptors: Arithmetic, Data Analysis, Data Collection, Flow Charts
Peer reviewed Peer reviewed
Vago, Steven – Journal of Legal Education, 1971
Descriptors: Consumer Economics, Credit (Finance), Data Analysis, Data Collection
Peer reviewed Peer reviewed
Rauch, Sidney J. – Reading Teacher, 1970
Descriptors: Data Analysis, Data Collection, Evaluation Criteria, Evaluation Methods
Peer reviewed Peer reviewed
Shaver, James P. – Educational Researcher, 1983
Explores problems involved in the quantitative verification of independent variables in investigations of the effects on student outcomes of planned variations in instructional behavior. Specifically addresses (1) gathering of data through direct systematic observation, and (2) analysis of those data through the use of inferential statistics. (GC)
Descriptors: Data Analysis, Data Collection, Educational Research, Observation
Peer reviewed Peer reviewed
Sweeney, Mary Anne; Regan, Patricia A. – Journal of Nursing Administration, 1982
Describes a study comparing nursing faculty and staff ratings of a list of psychomotor skills important to the role of a nurse. Also documents recent nursing graduates' responses to the same list. Discrepancies among the three groups are discussed by the authors. (CT)
Descriptors: College Faculty, College Graduates, Data Analysis, Data Collection
Peer reviewed Peer reviewed
Passmore, David Lynn – Journal of Studies in Technical Careers, 1981
Discusses the procedures for collecting unemployment statistics. Criticisms of and alternatives to this method are explored. The youth unemployment rate is discussed in relation to these problems and to the goals of vocational and technical education. (CT)
Descriptors: Data Analysis, Data Collection, Educational Objectives, Employment Statistics
Peer reviewed Peer reviewed
Katz, Barry M.; McSweeney, Maryellen – Journal of Experimental Education, 1979
Errors of misclassification and their effects on categorical data analysis are discussed. The chi-square test for equality of two proportions is examined in the context of errorful categorical data. The effects of such errors are illustrated. A correction procedure is developed and discussed. (Author/MH)
Descriptors: Classification, Data Analysis, Data Collection, Error Patterns
Doyle, Kenneth O., Jr. – New Directions for Institutional Advancement, 1979
The vocabulary of sampling is examined in order to provide a clear understanding of basic sampling concepts. The basic vocabulary of sampling (population, probability sampling, precision and bias, stratification), the fundamental grammar of sampling (random sample), sample size and response rate, and cluster, multiphase, snowball, and panel…
Descriptors: Data Analysis, Data Collection, Definitions, Higher Education
Hendel, Darwin D.; Doyle, Kenneth C., Jr. – New Directions for Institutional Advancement, 1979
The analysis of questionnaire data involves a sequence of planned activities beginning with questionnaire development and concluding with a report of the results of the study. Most questionnaires require the use of numerical codes to facilitate computer processing of results and to select appropriate statistical procedures for summarizing the…
Descriptors: Computers, Data Analysis, Data Collection, Higher Education
Peer reviewed Peer reviewed
Johnson, F. Craig – New Directions for Institutional Research, 1976
Management information needs vary as a function of departmental complexity, goals, and services. A model is proposed to enable institutional researchers to serve better the distinctive information needs of academic departments and their chairmen. (LBH)
Descriptors: Administrator Responsibility, Data Analysis, Data Collection, Department Heads
Peer reviewed Peer reviewed
Scheirer, Mary Ann – New Directions for Evaluation, 1996
This eight chapters of this special issue introduce the use of a template to specify program components as a new tool for program evaluation. The template articulates the components needed for program delivery and provides a systematic method for assessing program implementation. (SLD)
Descriptors: Data Analysis, Data Collection, Evaluation Methods, Formative Evaluation
Peer reviewed Peer reviewed
Popham, W. James – NASSP Bulletin, 1997
Many participant-satisfaction evaluation forms used in staff development programs are ritualistic contrivances that are poorly designed and administered. This article describes five rules for generating evaluation forms based on clarity, a decision focus, brevity, anonymity, and respondents' opportunity to make additional suggestions. Careful…
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Evaluation Methods
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