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Wayne State University

Descriptive Statistical Attributes Of Special Education Datasets

Abstract

dc:description.abstract

<p>ABSTRACT</p> <p>Descriptive Statistical Attributes of Special Education Data Sets</p> <p>by</p> <p>VALERIE FELDER</p> <p>December 2013</p> <p>Advisor: Dr. Shlomo Sawilowsky</p> <p>Major: Educational Evaluation and Research</p> <p>Degree: Doctor of Philosophy</p> <p> Micceri (1989) examined the distributional characteristics of 440 large-sample achievement and psychometric measures. All the distributions were found to be nonnormal at alpha = .01. Micceri indicated three factors that might contribute to a non-Gaussian error distribution in the population. The first factor is subpopulations within a target population. The second factor is ceiling effects and the third factor is treatment effects that may change the location parameter, variability, or shape of the distribution.</p> <p>This present study examined the distributional characteristics of special education assessments and determined whether these distributions were differently distributed than Micceri's distributions. Three hundred ninety five datasets were collected, examined and classified according to distribution shape. The classification findings were compared with Micceri's (1989) classification of achievement and psychometric distributions. The findings indicate that there were more classifications of special education datasets and these distributions were differently distributed. There were 258, or 65.31%, of special education distributions that were different than Micceri's (1989) distributions. One hundred thirty seven, or 34.67%, of special education distributions were similar to Micceri's distributions.</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Open Access Dissertation
Discipline thesis:degree_discipline
Education Evaluation and Research
Year dc:date.available
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Felder, Valerie
Contributors dc:contributor
  • Shlomo Sawilowsky

Subjects

dc:subject × 8

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.wayne.edu:oa_dissertations-1834

Chain of custody

source
Harvested from
Wayne State University
Base URL
digitalcommons.wayne.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Felder, Valerie. Descriptive Statistical Attributes Of Special Education Datasets. Open Access Dissertation thesis, 2013. https://digitalcommons.wayne.edu/oa_dissertations/835