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Paulson, Morris J.; Lin, Tien-Teh – J Clin Psychol, 1970
Descriptors: Intelligence Tests, Predictive Measurement, Test Results
Peer reviewed Peer reviewed
Sowell, D. J. W. – Educational Research, 1970
Descriptors: Grades (Scholastic), Predictive Measurement, Tables (Data)
Flaugher, Ronald L.; Rock, Donald A. – J Educ Meas, 1969
Descriptors: Academic Achievement, Overachievement, Predictive Measurement, Underachievement
Carroll, John B.; Wilson, Gertrude F. – Educ Psychol Meas, 1970
Descriptors: Computer Programs, Evaluation Criteria, Predictive Measurement
Peer reviewed Peer reviewed
Motto, Jerome A. – Suicide and Life-Threatening Behavior, 1991
Compares the empirical and clinical approaches as methods for assessment of suicide risk. Concludes that the optimum approach is to utilize both methods according to differences in setting, circumstances, available time, condition and cooperativeness of the person assessed, and training experience and style of the clinician. Modifying issues for…
Descriptors: Evaluation Methods, Predictive Measurement, Risk, Suicide
Dragoset, Lisa; Gordon, Anne – US Department of Agriculture, 2010
This report describes work using nationally representative 2005 data from the School Nutrition Dietary Assessment-III (SNDA-III) study to develop a simulation model to predict the potential implications of changes in policies or practices related to school meals and school food environments. The model focuses on three domains of outcomes: (1) the…
Descriptors: National Programs, Lunch Programs, Breakfast Programs, Nutrition
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
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Schorr, Gudrun; Ulbricht, Sabina; Schmidt, Carsten O.; Baumeister, Sebastian E.; Ruge, Jeannette; Schumann, Anja; Rumpf, Hans-Jurgen; John, Ulrich; Meyer, Christian – Journal of Consulting and Clinical Psychology, 2008
The authors examined the subtype structure of smokers classified in the precontemplation stage of change within the transtheoretical model. From a general practice-based sample of 1,499 daily smoking patients from Germany (participation rate 80%), they used a subgroup of 929 smokers who were classified in the precontemplation stage and applied…
Descriptors: Smoking, Self Efficacy, Patients, Foreign Countries
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Lowis, Mike; Castley, Andrew – Innovations in Education and Teaching International, 2008
First-year student dropout in the university sector can reach 20% or higher. Over a two-year period, a simple instrument was developed to identify potential student low performance and withdrawal. It was based on a measure of students' early expectation of higher education, matched subsequently with their actual experience. The instrument design…
Descriptors: Dropouts, Measures (Individuals), Low Achievement, Expectation
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Tickell, Geoffrey – American Journal of Business Education, 2009
This paper reports on an investigation comparing the employment salary of bachelor degree in accounting graduates with associate degree in accounting graduates two years after their graduation. Using hierarchical regression analyses, this study shows the predictive strength of participants' academic qualifications, age, gender, GPA, professional…
Descriptors: Accounting, Salaries, Compensation (Remuneration), Predictor Variables
Froman, Terry; Rubiera, Vilma – Research Services, Miami-Dade County Public Schools, 2007
Although students have been taking the Florida Comprehensive Assessment Test (FCAT) Science test for a few years, the State included the performance on the Science test in the school grade calculations for the first time in 2006-07. Although no official guidelines exist presently, the Science scores may also be incorporated in the NCLB Adequately…
Descriptors: Prediction, Science Tests, Mathematics Tests, Mathematics Achievement
Peer reviewed Peer reviewed
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Lipovetsky, S. – International Journal of Mathematical Education in Science and Technology, 2007
The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…
Descriptors: Chemistry, Regression (Statistics), Models, Comparative Analysis
Benton, Roberta L. – 1991
The redundancy statistic (Rd) is discussed in relation to canonical correlation analysis. The index is a measure of the variance of one set of variables predicted from the linear combination of the other set of variables. A small data set (N=6) from the work of D. Clark (1975) was analyzed using SPSS-X. Two sets of two variables each were…
Descriptors: Correlation, Mathematical Models, Multivariate Analysis, Predictive Measurement
Peer reviewed Peer reviewed
Funk, Sandra G.; And Others – Journal of School Psychology, 1986
Two studies assessing the predictive validity of the McCarthy Scales of Children's Abilities (MSCA) are reported. Children who scored low on the MSCA General Cognitive Index had significantly lower California Achievement Test scores in all grades than did children scoring within the normal range. (Author/BL)
Descriptors: Academic Achievement, Children, Elementary Education, Predictive Measurement
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Bogartz, Richard S. – Journal of Experimental Child Psychology, 1976
The problems which can arise in predicting the presence or absence of statistical interactions when a theoretical model is not set into correspondence with the experimental design model are considered in the context of a specific study of developmental differences in distractibility. (Author/HS)
Descriptors: Children, Memory, Predictive Measurement, Predictive Validity
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