Author: Robert Dewey ChildersPublisher:
ISBN:
Category : Dropouts
Languages : en
Pages : 446
Book Description
The Identification of Potential School Dropouts by Discriminant Analysis
Author: Robert Dewey ChildersPublisher:
ISBN:
Category : Dropouts
Languages : en
Pages : 446
Book Description
The Application of Discriminant Analysis to the Identification and Classification of Potential Dropouts in a Selected Suburban High School
Author: Bibe SchnitzerPublisher:
ISBN:
Category : Dropout behavior, Prediction of
Languages : en
Pages : 114
Book Description
Early Identification of School Dropouts Using Modified Interaction Detection and Two Group Discriminant Analysis
Author: Ann ObrzutPublisher:
ISBN:
Category : Dropout behavior, Prediction of
Languages : en
Pages : 218
Book Description
The Use of Discriminant and Regression Analyses in Identifying Potential Dropouts in High Schools
Author: Bommathanahalli RamakrishnaPublisher:
ISBN:
Category : Discriminant analysis
Languages : en
Pages : 198
Book Description
Discriminant Analysis Between Dropouts and Non-dropouts in Newfoundland
Author: Terence Leo StackPublisher: 1973.
ISBN:
Category : Dropouts
Languages : en
Pages : 100
Book Description
Procedures for the Identification of Potential High School Dropouts
Author: Illinois. Office of the Superintendent of Public InstructionPublisher:
ISBN:
Category : Dropouts
Languages : en
Pages : 64
Book Description
A Model to Predict High School Dropouts in a Small, Rural Florida School District
Author: Bill R. OwensPublisher:
ISBN:
Category : Dropout behavior, Prediction of
Languages : en
Pages : 212
Book Description
The purpose of this study was to provide a predictive model for profiling potential high school dropouts during the middle school years using data available to teachers, counselors, and administrators. The subjects for the study were 377 students (175 dropouts and 202 persisters) in grades 9 through 12 that attended the Okeechobee County Schools between the 1992-93 and 1995-96 school years. The null hypothesis stated that a model consisting of a subset of the 23-predictor variables would not discriminate between students who drop out of school and those who persist. Data were collected from archival sources within the school district and analyzed through discriminant analysis using an SPSS program. Cross validation was performed using a FORTRAN program developed by Morris and Meshbane (1995). Numerous models were identified that discriminated between dropouts and persisters; therefore, the null hypothesis was rejected. The model that had the highest hit rates contained the following variables: (a) age in the eighth grade, (b) suspensions in the eighth grade, (c) attendance in the seventh grade, (d) attendance in the eighth grade, (e) membership in a dropout prevention program, (f) free or reduced-price lunch status, (g) limited-English proficiency status, (h) retention status, and (i) athletic status. The variable that appeared most often in the models that had the highest hit rates for the dropout group was retention status. Other variables that appeared in models included the number of Ds and Fs in the seventh grade, the number of Ds and Fs in the eighth grade, and suspensions in the seventh grade. Variables that were not found to be as significant based on F-ratios included (a) gender, (b) membership in an exceptional education program, and (c) certain achievement test scores. A large amount of missing data relative to the achievement test scores may have contributed to the lack of significance. Hispanic students dropped out in disproportion to the representation in the sample. In addition, most of the dropouts in the sample were not in dropout prevention programs, and most of the dropouts that were in a dropout prevention program dropped out despite the intervention. A profile of the high school dropout based on this study includes: (1) being retained more often, (2) being overage, (3) receiving more Ds and Fs, having poorer attendance, and being suspended more often in the seventh and eighth grades, and (4) receiving a free or reduced-price lunch.
Research in Education
Author: The Development of Criteria for the Identification of Potential School Dropouts
Author: Jerry Alan SinesPublisher:
ISBN:
Category : School attendance
Languages : en
Pages : 62
Book Description
The Application of Discriminant Analysis to Determine High School Dropouts from Non-dropouts
Author: Steven Michael TovianPublisher:
ISBN:
Category :
Languages : en
Pages : 34
Book Description