Universität Bremen - Quality assessment

60 Universität Bremen - Quality assessment https://www.uni-bremen.de/fb12/irregular-migration/methodology/quality-assessment research project CLANDESTIO: Methodology – Quality assessment de Universität Bremen Mon, 16 Mar 2026 00:00:15 +0100 Mon, 16 Mar 2026 00:00:15 +0100 Universität Bremen content-221914 Wed, 04 Mar 2026 23:43:54 +0100 Quality assessment https://www.uni-bremen.de/fb12/irregular-migration/methodology/quality-assessment#c221914 The classification of estimates into three quality classes follows standards of good scientific work developed in&nbsp;the <a href="http://irregular-migration.net/typo3_upload/groups/31/4.Background_Information/4.1.Methodology/Methodological_Issues_Clandestino_Report__Nov09_2.pdf" target="_blank">CLANDESTINO methodological report</a>, and pertains to&nbsp;the documentation, reliability and validity of an estimate. Details&nbsp;about the quality assessment, including examples, can&nbsp;be found in the CLANDESTINO <a href="http://irregular-migration.net/typo3_upload/groups/31/4.Background_Information/4.7.Working_Papers/WP1-2008_Vogel-Kovacheva_ClassificationReport_QualityOfEstimates2.pdf" target="_blank">classification report</a>. Here, we only give a&nbsp;brief indication as to&nbsp;how estimates of absolute numbers and indicators of the composition&nbsp;are classified. <h3>ESTIMATES OF ABSOLUTE NUMBERS</h3> <table cellpadding="1" cellspacing="1"> <tbody> <tr> <td> Quality classes </td> <td> Explanation and examples </td> </tr> <tr> <td> High quality estimate </td> <td> Estimate fulfilling usual academic standards: full documentation, comprehensive and consistent, limitations clearly indicated: <ul> <li>Study with trust-based micro-data survey and adjustment for data bias (centre sampling in Italy)</li> <li>Study with micro-apprehension data and adjustment for data bias (capture-recapture in the Netherlands)</li> <li>Comprehensively and rigourously implemented and well documented multiplier or residual study</li> </ul> </td> </tr> <tr> <td> Medium quality estimate </td> <td> Careful estimate: short explanation, largely consistent and comprehensive, limitations clearly indicated (at least explicit written statement): <ul> <li>Simple multiplier calculations</li> <li>Simple residual estimates</li> <li>Adjustment of older estimates with partly insufficient data</li> <li>Aggregate estimates for different groups, partly relying on plausibility calculations</li> </ul> </td> </tr> <tr> <td> Low quality estimate </td> <td> Unexplained or unreliable estimate: <ul> <li>No explanation</li> <li>Indication of poor reliability and lacking empirical foundation for substantial aspects of calculation</li> <li>Inadequate method or application of method&nbsp;(e.g. national level Delphi, or plausibility calculation from econometric estimate)</li> </ul> </td> </tr> <tr> <td> Low quality estimate with plausibility warning </td> <td> Misleading low quality estimate: <ul> <li>Relevant in national discourse</li> <li>Indications that it is much too high or too low</li> </ul> </td> </tr> </tbody> </table> Content