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Failure Time Analysis of Office System Use.
Peer reviewed Peer reviewed
Cooper, Michael D. – Journal of the American Society for Information Science, 1991
Develops mathematical models to characterize the probability of continued use of an integrated office automation system and tests these models on longitudinal data collected from 210 individuals using the IBM Professional Office System (PROFS) at the University of California at Berkeley. Analyses using survival functions and proportional hazard…
Descriptors: Adoption (Ideas), Information Systems, Longitudinal Studies, Mathematical Models
New Statistical Techniques for Evaluating Longitudinal Models.
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Murray, James R.; Wiley, David E. – 1970
A basic methodological approach in developmental studies is the collection of longitudinal data. Behavioral data cen take at least two forms, qualitative (or discrete) and quantitative. Both types are fallible. Measurement errors can occur in quantitative data and measures of these are based on error variance. Qualitative or discrete data can…
Descriptors: Behavioral Sciences, Data Analysis, Evaluation Methods, Feedback
Sampling Probabilities for Aggregations, with Application to NELS:88 and Other Educational Longitudinal Surveys.
Peer reviewed Peer reviewed
Spencer, Bruce D.; Foran, Wendene – Journal of Educational Statistics, 1991
Surveys in which one can observe--after sample selection--that each sample member belongs to one or more aggregations are considered. A formula for the probability that a given aggregation contains at least one sample member is applied to eighth grade data from the National Educational Longitudinal Study of 1988 (NELS:88). (TJH)
Descriptors: Educational Assessment, Equations (Mathematics), Estimation (Mathematics), Grade 8
Estimating Errors in Student Enrollment Forecasting. AIR Forum 1979 Paper.
Marshall, K. T.; Oliver, R. M. – 1979
The use of data on longitudinal student attendance patterns to determine variances, and hence confidence bounds, on student enrollment forecasts, in addition to finding the forecasts themselves, is demonstrated. The formulation of the enrollment model based on longitudinal student attendance patterns is described step by step, presenting the…
Descriptors: College Attendance, Conference Reports, Enrollment Projections, Higher Education
Variance Components for NLS: Partitioning the Design Effect.
Folsom, Ralph E., Jr. – 1975
This memorandum demonstrates a variance components methodology for partitioning the overall design effect (D) for a ratio mean into stratification (S), unequal weighting (W), and clustering (C) effects, so that D = WSC. In section 2, a sample selection scheme modeled after the National Longitudinal Study of the High School Class of 1972 (NKS)…
Descriptors: Analysis of Variance, Cluster Analysis, Followup Studies, Graduate Surveys
Proceedings of the Conference of the International Group for the Psychology of Mathematics Education (30th, Prague, Czech Republic, July 16-21, 2006). Volume 2
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Novotna, Jarmila, Ed.; Moraova, Hana, Ed.; Kratka, Magdalena, Ed.; Stehlikova, Nad'a, Ed. – International Group for the Psychology of Mathematics Education, 2006
This document contains the second volume of the proceedings of the 30th Annual Conference of the International Group for the Psychology of Mathematics Education. Conference presentations are centered around the theme "Mathematics at the Centre." This volume features 60 research reports by presenters with last names beginning between Abr…
Descriptors: Program Effectiveness, Foreign Countries, Middle Schools, Textbooks