The Logic of Sample Selection: Who Represents What?

1983 ◽  
Vol 4 (3) ◽  
pp. 84-96 ◽  
Author(s):  
Barbara K. Keogh ◽  
Donald L. Macmillan
Keyword(s):  
Special Education ◽  
Cluster Analysis ◽  
Sample Selection ◽  
Statistical Procedure ◽  
Education Programs ◽  
Research Findings ◽  
Marker Variables ◽  
Sampling Problems ◽  
Limited Generalizability ◽  
Selection Of

This article focuses on sampling problems related to the use of system-identified subjects in special education research. Differences in school district criteria and procedures for selection of pupils into special education programs for the mildly handicapped have resulted in limited generalizability of research findings across studies. Overlap between samples identified as LD and EMR is particularly noticeable. Suggested approaches to deal with these sampling problems are identified. These include the use of rationally defined subgroups, the statistical procedure of cluster analysis, and marker variables.

scholarly journals Preservation of intravarietal diversity in clonal and sanitary pre-selection for a minority variety in danger of extinction: Maturana Blanca

OENO One ◽  
2012 ◽  
Vol 46 (2) ◽  
pp. 123
Author(s):  
Fernando Martínez de Toda ◽  
Pedro Balda ◽  
Juan Carlos Sancha
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Selection Process ◽  
Principal Component ◽  
Component Analysis ◽  
Statistical Procedure ◽  
Initial Population ◽  
Selection For ◽  
Objective Methodology ◽  
Selection Of

<p style="text-align: justify;"><strong>Aim</strong>: An objective methodology to preserve intravarietal diversity during the stage of clonal and sanitary pre-selection is exposed. The case of the minority variety in danger of extinction called Maturana Blanca is analyzed.</p><p style="text-align: justify;"><strong>Methods and results</strong>: The cluster analysis of the initial population’s data (OIV descriptors) allows leading the pre-selection with the objective of preserving the intravarietal diversity. The pre-selection process, where one accession from each cluster is selected and its sanitary status evaluated, is carried out for three consecutive years. It is verified that the intravarietal diversity is kept after the pre-selection by comparing the distribution of the selected vines to the ones of the initial population for each variable and the principal component analysis of both populations.</p><p style="text-align: justify;"><strong>Significance and impact of the study</strong>: The advantage of this method consists of grouping the individuals by a statistical procedure of cluster analysis, enabling a randomized selection.</p><p style="text-align: justify;"><strong>Conclusion</strong>: The methodology that has been established to carry out the clonal and sanitary pre-selection of the variety Maturana Blanca allows the preservation of the existing intravarietal diversity.</p>

A statistical procedure to guide the first stages of clonal selection of the « Tinta dei País » variety

OENO One ◽  
1995 ◽  
Vol 29 (4) ◽  
pp. 183
Author(s):  
Lucinio Júdez ◽  
Javier Litago ◽  
Jesús Yuste ◽  
Antonio Soldevilla ◽  
F. Martinez
Keyword(s):  
Cluster Analysis ◽  
Principal Components ◽  
Clonal Selection ◽  
Statistical Treatment ◽  
Great Part ◽  
Statistical Procedure ◽  
The Other ◽  
Total Acidity ◽  
And Cluster Analysis ◽  
Selection Of

<p style="text-align: justify;">In this study, we put forward a procedure, based on the analysis of the principal components and cluster analysis, in order to guide the first stages of the clonal selection of the « Tinta dei Pais » variety. The material used is a set of vines from the region of Vega Sicilia, situated on the Duero valley of the Province of Valladolid in Spain. On these vines, we have originally observed eleven variables associated to their production. This study shows that three of these characters : weight of grape per plant, total acidity and weight of pruned wood, summarize a great part of the information that can be drawn from the set of variables. On the other hand, the graphs and tables, elaborated from statistical treatment of the data, provide an excellent synthesis when identifying the most important characteristics of the vines studied. This procedure can be very useful to the breeder, allowing him to reduce considerably the number of variables for analysis in the evaluation of the vines in the first stages of selection. In particular, it is found that the least advantageous vines arc those of either low yield or high total acidity.</p>

Cluster Analysis of Antigenic Profiles of Tumors: Selection of Number of Clusters Using Akaike’s Information Criterion

1990 ◽  
Vol 29 (03) ◽  
pp. 200-204 ◽  
Author(s):  
J. A. Koziol
Keyword(s):  
Cluster Analysis ◽  
Basic Problem ◽  
Information Criterion ◽  
Akaike's Information Criterion ◽  
Cell Surface Antigens ◽  
Number Of Clusters ◽  
Akaike’S Information Criterion ◽  
Multinomial Data ◽  
Tumor Types ◽  
Selection Of

AbstractA basic problem of cluster analysis is the determination or selection of the number of clusters evinced in any set of data. We address this issue with multinomial data using Akaike’s information criterion and demonstrate its utility in identifying an appropriate number of clusters of tumor types with similar profiles of cell surface antigens.

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

scholarly journals Are Inclusive Education or Special Education Programs More Likely to Result in Inclusion Post-School?

2021 ◽  
Vol 11 (6) ◽  
pp. 304
Author(s):  
Garry Hornby
Keyword(s):  
Special Education ◽  
Young People ◽  
Inclusive Education ◽  
Work Experience ◽  
Outcome Studies ◽  
Behavioral Difficulties ◽  
Education Programs ◽  
Special Schools ◽  
Full Inclusion ◽  
Vocational Curriculum

The main goal of both special education and inclusive education for young people with learning or behavioral difficulties is their maximum inclusion in the community as adults. The question of which of these two approaches is more likely to achieve this goal is addressed by considering the findings of three outcome studies of young people with moderate to severe levels of learning or behavioral difficulties who experienced either option, or some combination of the two. The overall findings indicate that students who left school from a special education setting had better outcomes than those who completed their education in mainstream schools. This is considered to be due to the vocational curriculum and work experience they gained in their final years of special education, which those in mainstream schools did not receive. This suggests that a policy of full inclusion, with the closure of special classes and special schools, will result in less inclusion in their communities post-school for young people with moderate to severe levels of learning or behavioral difficulties.

Using Cluster Analysis to Improve Marketing Experiments

1971 ◽  
Vol 8 (3) ◽  
pp. 340-347 ◽  
Author(s):  
George S. Day ◽  
Roger M. Heeler
Keyword(s):  
Cluster Analysis ◽  
Space Representation ◽  
Reduced Space ◽  
High Degree ◽  
Degree Of Similarity ◽  
Sensitive Experiment ◽  
Selection Of

When the selection of a sample of stores or cities requires a high degree of similarity among the test units in order to ensure a sensitive experiment, the sample may no longer represent the market. These conflicting requirements can be satisfied by choosing the sample from clusters displayed in a reduced space representation of the market.

Preparation of the Clinical Teacher for Special Education: 1866-1966

1967 ◽  
Vol 34 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Louis Schwartz
Keyword(s):  
Special Education ◽  
Teacher Education ◽  
Training Program ◽  
Clinical Teaching ◽  
Academic Community ◽  
Clinical Teacher ◽  
Teacher Education Programs ◽  
Education Programs ◽  
Basic Assumptions ◽  
Clinician Educator

Although the concept of clinical teaching is a persistently recurring educational theme today, reflecting the heritage of special education, it is hidden in the pattern of teacher education programs. In order to prepare the clinician educator for membership in a multidisciplinary and interagency team, it is necessary for the academic community to innovate an approach to teacher education curricula design and to modify academic administrative structure. Basic assumptions and requirements for implementation of a clinical teacher training program are presented.

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