Quality of Data II. Approaches to the Evaluation of Research Instruments based on Covariance Structure Modelling
Bibliographic Data
| ID | 10566332 |
|---|---|
| Authors | Jan Řehák (0009-0002-5833-7047, Czech Academy of Sciences, Institute of Sociology, corresponding author) |
| Year | 1998 |
| Volume | 34 |
| Issue | 2 |
| Pages | 195-204 |
| Publication date | 1998-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Czech Sociological Review (JOURNAL) |
| Journal identifiers | ISSN: 0038-0288 • E-ISSN: 2336-128X |
| Publisher | Institute of Sociology of the Czech Academy of Sciences (PUBLISHER • CZ) |
| DOI | 10.13060/00380288.1998.34.2.08 |
| OpenAlex | W3033591160 |
| Language | EN |
| Citations received | 5 |
| References cited | 11 |
The aim of the paper is to review three ways of modelling data quality using the covariance structure methodology, covering relations among both the latent and manifest variables -the former being the true values, while the latter are the measured data in our models. Two components of quality are presented in the models: validity and reliability, and effects of operationalisation and method effects
Covariance · Data curation · Data mining · Data quality · Data science · Operations management · Physics · Quality (philosophy · Research Data · Statistics · Computer Science · Engineering · Mathematics · Reliability and Agreement in Measurement
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Construct Validity and Error Components of Survey Measures
Separating Reliability and Stability in Test-Retest Correlation
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Convergent and discriminant validation by the multitrait-multimethod matrix
"Comment on "The Estimation of Measurement Error in Panel Data
| Unique citing works | 5 |
|---|---|
| Citations per year | 0.18 |
| Citation span | 1998 - 2016 (19) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |