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 Producing a Short Form Conclusion

Introduction

The User Information Satisfaction Construct

The User Information Satisfaction Construct

Measuring User Information satisfaction

Example

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

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)

A Study to Assess A UIS Measure Results: See Table III & IV

- Reliability- Content validity- Predictive validity- Construct validity

Reliability

Content of Validity

It refers to the representativeness or sampling adequacy

All scales are positive and significant at the 0.001 level

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

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

Factor Analysis

Improving Instrument Quality

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

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

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

Conclusion

The instrument presented here is a potential candidate for adoption

A SHORT FORM MEASURE OF UIS: A PSYCHOMETRIC EVALUATION AND NOTES ON USE

BARAUDI & ORLIKOWSKI

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

Sample

358 employees from 26 New York area organizations

See Table 1

Sample’s Distribution

The UIS Questionnaire

Validity

Reliability