the measurement of user information satisfaction (blake ives et.al)
DESCRIPTION
The Measurement of User Information Satisfaction (Blake Ives et.al). Presented by: IRA GERALDINA - 0806435513. Outline. Introduction The User Information Satisfaction Construct Measuring User Information Satisfaction A Study to Assess a UIS Measure Improving Instrument Quality - PowerPoint PPT PresentationTRANSCRIPT
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THE MEASUREMENT OF USER INFORMATION SATISFACTION(BLAKE IVES ET.AL)Presented by:
IRA GERALDINA - 0806435513
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Outline
Introduction The User Information Satisfaction
Construct Measuring User Information Satisfaction A Study to Assess a UIS Measure Improving Instrument Quality Producing a Short Form Conclusion
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Introduction
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The User Information Satisfaction Construct
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The User Information Satisfaction Construct
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Measuring User Information satisfaction
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Example
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A Study to Assess A UIS Measure Study objectives:
(1) replicate Pearson’s findings concerning the validity of the instrument(2) reinforce the validity of the instrument through further tests(3) reduce the length of the overall measure while maintaining reasonable level of reliability and the existing structure of scales(4) develop a standard “short form” instrument
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A Study to Assess A UIS Measure Methodology:
- Survey to 800 production managers in U.S. manufacturing organizations- 2 month period for two separate mailings: (1)
Pearson’s UIS measure; (2) 4 item measure of
information satisfaction/ UIS4- Final sample: 280 managers (35% response rate)
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A Study to Assess A UIS Measure Results: See Table III & IV
- Reliability- Content validity- Predictive validity- Construct validity
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Reliability
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Content of Validity
It refers to the representativeness or sampling adequacy
All scales are positive and significant at the 0.001 level
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Predictive Validity
Demonstrated by correlating a measure against other measures of the same construct
A correlation of 0.55 was obtained and significant at the 0.001 level
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Construct Validity
Demonstrated by validating the theory behind the instrument
2 Methods:- Total score >> See column 4 (UIS38) of Table IV, all significant at 0.001 level- Factor analysis >> See Table III, resulting 5
factors
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Factor Analysis
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Improving Instrument Quality
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Elimination of Scales
Each scale was ranked on the following criteria:(1) reliability(2) content validity(3) construct validity
See Table IV- Triple asterisk were selected for elimination
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Reducing the Number of Items per Scale Holdback sample data was tested Removing items within a scale that had
the lowest correlation with the other items
See Table V, two items were then eliminated
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Producing A Short Form
Entails selecting representatives scales that has an acceptable high correlation with the full instrument
The correlation was 0.90 (significant at 0.001 level)
Contact the authors to have short form questionnaires
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Conclusion
The instrument presented here is a potential candidate for adoption
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A SHORT FORM MEASURE OF UIS: A PSYCHOMETRIC EVALUATION AND NOTES ON USE
BARAUDI & ORLIKOWSKI
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The Purpose of Study
To conduct a psychometric evaluation of the short-form of UIS measure are developed by Ives, Olson, and Baroudi
To discuss how the short-form of UIS can be used to (a) detect the presence of user dissatisfaction(b) aid the diagnosis of problem areas
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Sample
358 employees from 26 New York area organizations
See Table 1
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Sample’s Distribution
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The UIS Questionnaire
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Validity
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Reliability