The Repository @ St. Cloud State

Open Access Knowledge and Scholarship

Date of Award

5-1987

Culminating Project Type

Thesis

Degree Name

Special Education: M.S.

Department

Special Education

College

School of Education

First Advisor

Joan Bigler

Second Advisor

Floyd Ayers

Third Advisor

Joan Hemmer

Keywords and Subject Headings

Correlation of student scores on the Woodcock Johnson with Measures of Typing Skills.

Abstract

PROBLEM:

This study examined the feasibility of predicting typing skill acquisition from data available in student records. Specifically, the purpose of the study was to see if a correlation exists between the Woodcock-Johnson Psycho-Educational Battery, the Behavior Evaluation Scale, and student personal characteristics with measures of typing skill.

PROCEDURE:

The subjects were 30 students who were residents at the St. Cloud Children's Home. Typing measures, Gross Words a Minute and Rate of Acquisition, were tabulated over a nine-week period. These measures were compared to student demographic data, scores on the Behavior Evaluation Scale and the Woodcock-Johnson Psycho-Educational Battery by using the Pearson Product Moment Correlation and a Stepwise Multiple Regression Equation.

FINDINGS:

There was a high correlation between Visual-Perceptual Speed (age) and Gross Words a Minute while Written Language Aptitude (grade) had the highest relationship with Rate of Acquisition. Five independent variables show an 81% common variance with Gross Words a Minute. A 67% common variance was shared by three independent variables and Rate of Acquisition. A Multiple Regression Analysis was implemented and found to be a possible valid instrument for predicting Gross Words a Minute and Rate of Acquisition. This may prove valid on a cross-validation.

Another study should be done on the next round of students at the St. Cloud Children's Home. Results from another study would show if the correlations are consistent. A cross-validation procedure should be done to see if the initial Multiple Regression Equation was the result of chance relationships.

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