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Paper Details

Paper Title
ANALYSIS AND RELEVANCY OF ENGINEERING EDUCATION TO THE NEEDS OF INDUSTRY
Abstract
Cronbachs alpha is a measure of level of internal consistency that how closely related a set of items. Its regarded as a measure of scale reliability. The purpose of this paper is to measure reliability and internal consistency of Relevancy of Engineering Education to The Needs of Industry – Industrial Survey. As per the request of KP Governor, University of Engineering and Technology, Peshawar to analyze the relevancy of Engineering Education to the needs of knowledge-based economy. In order to assess the reliability and internal consistency of this survey, one of the reliability analysis models, Cronbachs alpha is used for this analysis. To avoid the complications and errors, IBM SPSS Statistics tool is preferred over manual method. Survey data is imported into the spreadsheet and fifteen variables are identified as items. Data is then copied to the SPSS in data view and coded variables in variable view, ordinal scale is selected in measure column. Descriptive required for item, scale, and scale if item deleted are chosen. Correlations, means, and variances are also chosen to get merged into the results of reliability analysis. Value of overall alpha is 0.808 that is quite high and shows the strong internal consistency among the 15 items. This implies participants who tended to pick high score for one item also tended to choose high scored for the following item. With the value of overall Cronbachs alpha, that is, 80.08%, is determined that the scale is dependable because of the alpha being in the favorable range, the survey data is valid for curriculum design.
Keyword
Reliability Analysis, Cronbach’s Alpha, Engineering Education
Others Details
Paper Id : 83662
Author Name : Ishrat Noor
Co-Author Name(s) : Sahar Noor
Volume/Issue No : Volume 05 Issue 06
Page No : 212-223
DOI Number : DOI:10.21090/IJAERD.83662
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 5.71, SJIF-2017
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406
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