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Peer reviewedSkinner, Harvey A. – Educational and Psychological Measurement, 1977
EXPLORE is a flexible computer program for analyzing multiple data sets. The investigator has the option of focusing on the original variables, or of selecting a reduced rank solution where original variables are summarized by a principal components analysis. (Author/JKS)
Descriptors: Computer Programs, Correlation, Data Analysis, Factor Analysis
Peer reviewedByrd, E. Keith – Rehabilitation Counseling Bulletin, 1978
The automatic interaction detector was applied as an evaluation tool to data normally collected by vocational-rehabilitation agencies. Demographic, service, and local agency variables were analyzed with mean weekly income at time of closure as the dependent variable. Recommendations for further research were made. (Author)
Descriptors: Data Analysis, Interaction Process Analysis, Models, Program Descriptions
Peer reviewedMcQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1976
A relatively reliable and valid hierarchy of clusters of objects is plotted from the highest column entries, exclusively, of a matrix of interassociations between the objects. Having developed out of a loose definition of types, the method isolates both loose and highly definitive types, and all those in between. (Author/RC)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis
Peer reviewedChemical and Engineering News, 1978
Discusses computer reduction and interpretation of chemical data in order to determine research trends. (SL)
Descriptors: Chemistry, Computer Oriented Programs, Computers, Data Analysis
Peer reviewedDrake, Miriam A. – College and Research Libraries, 1977
Universities conduct a variety of cost-allocation studies that require the collection and analysis of the library cost-data. Cost accounting methods are used in most studies; however, costs are attributed to library user groups in a variety of ways. Cost accounting studies are reviewed and allocation methods are discussed. (Author)
Descriptors: College Libraries, Cost Effectiveness, Data Analysis, Library Expenditures
Peer reviewedBayer, Alan E. – Research in Higher Education, 1987
The "Biglan model" has become a generally accepted new eponym (a term or phrase incorporating the originator's name) in the field of higher education. As eponyms become diffused through literature and citations disappear, the veracity of bibliometric studies of intellectual influence structures are undermined. (Author/MLW)
Descriptors: Bibliographic Coupling, Bibliometrics, Citation Analysis, Data Analysis
Peer reviewedGoldhor, Herbert – RQ, 1987
Discusses sources of available data on reference questions asked and answered in public libraries, and analyzes data collected between 1970 and 1985 in nine states. National data from libraries in the United States, Canada, and Great Britain are also presented. (Author/MES)
Descriptors: Data Analysis, Library Services, Library Statistics, Public Libraries
Peer reviewedAchen, Christopher H. – Journal of Educational Statistics, 1987
Comments on the uses of statistical analysis in social sciences within the context of Freedman's "As Other's See Us: A Case Study in Path Analysis." Points out that there is an unacknowledged gap between statistical principles and the data analysis that social scientists use. (RB)
Descriptors: Data Analysis, Path Analysis, Regression (Statistics), Social Science Research
Peer reviewedFox, John – Journal of Educational Statistics, 1987
Examines D. A. Freedman's criticism of path analysis, agreeing with Freedman's criticism of its application to nonexperimental data in the social sciences. Argues that Freedman's overall conclusions, however, are too pessimistic. (RB)
Descriptors: Data Analysis, Models, Path Analysis, Regression (Statistics)
Briggs, Sarah F. – Currents, 1986
A step-by-step guide to conducting readership surveys by computer is presented. Planning a computerized survey, handling the responses, and analyzing the data are discussed. (MLW)
Descriptors: Alumni, Computers, Data Analysis, Higher Education
Peer reviewedCohen, Mark E.; Ralls, Stephen A. – Journal of Dental Education, 1986
Although dental school faculty as well as practitioners are interested in evaluating products and procedures used in clinical practice, research design and statistical analysis can sometimes pose problems. Sequential trials methods provide an analytical structure that is both easy to use and statistically valid. (Author/MLW)
Descriptors: Clinical Diagnosis, Data Analysis, Dentistry, Dentists
Peer reviewedWiley, James B.; And Others – Multivariate Behavioral Research, 1984
The advantages and disadvantages of balanced incomplete block designs are clarified and their use is demonstrated with an empirical example. A procedure for reducing data of this type to analyzable form is proposed, and an analytical approach that is appropriate for the resulting data is illustrated. (Author/BW)
Descriptors: Behavioral Science Research, Data Analysis, Data Collection, Research Design
Peer reviewedSchmidt, Frank L.; And Others – Personnel Psychology, 1985
The situational specificity hypothesis predicts that, if the setting does not vary, validity will not vary. Using data from a large-sample validity study numerous small-sample studies were generated for which the setting was held constant. Results indicate variability across studies in observed validity coefficients, significance levels, and…
Descriptors: Cohort Analysis, Data Analysis, Job Performance, Meta Analysis
Peer reviewedForte, Paula S. – Journal of Continuing Education in Nursing, 1984
The advantages of using a computer to analyze needs assessment data for continuing education are (1) it allows the expression of organizational needs, (2) all learners are able to declare their own needs, and (3) it provides rapid access to large amounts of information. (SK)
Descriptors: Computer Software, Data Analysis, Needs Assessment, Nurses
Peer reviewedChelimsky, Eleanor – Evaluation Review, 1985
Four aspects of the relationship between auditing and evaluation in their approaches to program assessment are examined: (1) their different origins; (2) the definitions and purposes of both, and the questions they seek to answer; (3) contrasting viewpoints and emphases of auditors and evaluators; and (4) commonalities of interest and potential…
Descriptors: Accountability, Accounting, Data Analysis, Evaluation Methods


