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Download full textRoane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Gagnon, Daniel A. – Online Submission, 2012
This paper describes the diffusion of Moodle within Cherokee County Schools. The diffusion is evaluated using the Bass Model and the RIPPLES model in order to evaluate relative success or failure. The Bass Model of Diffusion was calculated utilizing forecasting by analogy in order to analyze the adoption rates in a county high school. The adoption…
Descriptors: County School Districts, High Schools, Secondary School Teachers, Adoption (Ideas)
Direct linkLee, Ally – ProQuest LLC, 2011
Over the past decade, there has been a change in the citizen-government relationship. Citizens have moved from a traditional face-to-face communication with their government, to an electronic interaction through the use of e-government systems. Emerging technology has enabled citizens to communicate with their government remotely. However, trust…
Descriptors: Factor Analysis, Information Systems, Predictor Variables, Focus Groups
Kieu, Hung Q. – ProQuest LLC, 2010
Leadership is critically important because it affects the health of the organization. Research has found that leadership is one of the most significant contributors to organizational performance. Expanding and replicating previous research, and focusing on the specific telecommunications sector, this study used multiple correlation and regression…
Descriptors: Predictor Variables, Telecommunications, Internet, Transformational Leadership
Jamgochian, Elisa; Park, Bitnara Jasmine; Nese, Joseph F. T.; Lai, Cheng-Fei; Saez, Leilani; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we provide reliability and validity evidence for the easyCBM[R] Reading measures for grade 2 (word and passage reading fluency and multiple choice reading comprehension). Evidence for reliability includes internal consistency and item invariance. Evidence for validity includes concurrent, predictive, and construct…
Descriptors: Grade 2, Reading Comprehension, Testing Programs, Reading Fluency
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
Twissell, Adrian – Design and Technology Education, 2011
This study examines whether MidYIS and YELLIS cognitive ability tests (CATs) are appropriate methods for the identification of giftedness in Design and Technology. A key rationale for the study was whether CATs and able to identify those students with the aptitudes considered of importance to identifying giftedness in Design and Technology and…
Descriptors: Foreign Countries, Gifted, Identification, Cognitive Ability
Hejazi, Sara – ProQuest LLC, 2009
Organizations worldwide have been turning to Six Sigma program (SSP) to eliminate the defects in their products or drive out the variability in their processes to attain a competitive advantage in their marketplace. An effective certification program has been touted as a major contributor to successful implementation of SSP. An effective…
Descriptors: Expertise, Predictor Variables, Intention, Information Systems
Taschow, Horst G. – Saskatchewan Journal of Educational Research and Development, 1971
Descriptors: Measurement Techniques, Predictive Measurement, Reading Improvement, Statistical Analysis
Peer reviewedAiken, Lewis R. – Journal of Research and Development in Education, 1989
Eight indexes for item analyses of small samples of test scores are described. Each index and a corresponding statistical significance test is defined, and tables of critical values of the index and associated right-tail probabilities are given. A computer program for calculating all indexes or any subsets is described. (JD)
Descriptors: Predictive Measurement, Predictive Validity, Rating Scales, Statistical Analysis
Pilot, Michael J. – Occupational Outlook Quarterly, 1980
Examines the kind of analysis performed for material on the job prospects in the Occupational Outlook Handbook and evaluates the accuracy of previous projections. Discusses why projections of job outlook are made, methods used in their development, and their accuracy. (JOW)
Descriptors: Employment Projections, Employment Statistics, Predictive Measurement, Reliability
Lavine, Michael – 1987
A specific application of a general paradigm described by R. D. Cook (1986) and R. McCulloch (1985) in assessing local influence is given. Snow geese flock size is estimated as "X" by an observer and "Y" by a photograph. "Y" is believed to be the true flock size. The problem is to obtain true flock size "Z"…
Descriptors: Bayesian Statistics, Equations (Mathematics), Predictive Measurement, Sample Size
Clarke, Johnnie Ruth – 1968
This study attempted to provide a way to identify disadvantaged students at the junior college and to determine what data could be used as a basis for developing a curriculum to help them. Two measures of cognition, School and College Ability Test (SCAT) and Florida 12th Grade Battery, and three measures of the affective domain, Social Reaction…
Descriptors: Measurement, Prediction, Predictive Measurement, Statistical Analysis
Dovgyallo, A. M. – 1967
A study was made on the synthesis of teaching machine elements to ensure the stabilization of the chi indicator of the teaching process of each student. At first, a procedure was developed for calculating the chi indicator for the case when the teaching machine predicts the magnitude of this indicator based on probabilities derived from an…
Descriptors: Automation, Performance Criteria, Predictive Measurement, Probability
Peer reviewedPolson, Peter G. – Psychometrika, 1972
Paper presents derivations of expressions for functions for any absorbing Markov-chain model. (Author)
Descriptors: Learning, Models, Predictive Measurement, Probability
