Developing a Measurement Instrument for Subjective Aspects of Information Quality

@article{Price2008DevelopingAM,
  title={Developing a Measurement Instrument for Subjective Aspects of Information Quality},
  author={Rosanne J. Price and Dina Neiger and Graeme G. Shanks},
  journal={Commun. Assoc. Inf. Syst.},
  year={2008},
  volume={22},
  pages={3}
}

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References

SHOWING 1-10 OF 28 REFERENCES
Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing
TLDR
A model consisting of nine fundamental determinants of quality in an information technology context, four under the rubric of information quality and five that describe system quality are developed, suggesting that the determinants are indeed predictive of overall information and system quality in data warehouse environments.
Survey Errors and Survey Costs
Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits
TLDR
An Overview of Total Quality Data Management (TQdM), Assessing Data Definition and Information Architecture Quality, and Application of Quality Management Principles to Information.
Applied Business research: Qualitative and Quantitative Methods
TLDR
The research report provides a refresher on some statistical terms and describes the research process in terms of values and methodology, methodology, and results.
Advanced Quantitative Data Analysis
TLDR
The series editor's forewordPrefaceIntroductiongrouping quantitative variables together, an introduction to analysis of variance and covariance and related one-way analysis of covariance.
Discovering statistics using SPSS for Windows.
TLDR
The present book by Andy Field is a rare and excellent combination of both statistical theory as well as statistical treatment of the data using SPSS under one umbrella.
...
...