IREF419429false2026-05-13T03:12:20ZSDMX Cross Domain Concept SchemeThe Cross Domain Concept Scheme (starting from v2.0) is created from the set of concepts in the SDMX Glossary, which is an SDMX guideline containing concepts and related definitions that are useful for building and understanding data and metadata exchange arrangements based on SDMX. The Glossary provides definition of terms found in the SDMX Information Model, Data Structure Definitions (DSDs) and Metadata Structure Definitions (MSDs) at the time of the present release. It is recommended as a single entry point to a common SDMX terminology to be used in order to facilitate communication and understanding of the standard.In short, the overall message of the glossary is the following: if a term is used, then its precise meaning should correspond to the SDMX Glossary definition, and any reference to a particular phenomenon described in the SDMX Glossary should use the appropriate term.Version 1.0 of the SDMX Glossary, which replaces the Metadata Common Vocabulary (MCV) published in 2009, was finalised in February 2016. The Cross Domain Concept Scheme v1.0 was created from the MCV concepts.For any question, comment or correction, feel free to contact the SDMX Statistical Working Group (SWG) at the following address: swg@sdmx.org.CONTEXTMeasurement errors occur when the response provided differs from the real value. Such errors may be attributable to the respondent, the interviewer, the questionnaire, the collection method or the respondent's record-keeping system. Errors may be random or they may result in a systematic bias if they are not random. Measurement error in a survey response may result from respondents' confusion, ignorance, carelessness or dishonesty; error attributable to the interviewer, may be a consequence of poor or inadequate training, prior expectations regarding respondents' responses, or deliberate errors; and error attributable to the wording of the questions in the questionnaire, the order or context in which the questions are presented, and the method used to obtain the responses.TYPECross-domain conceptRECOMMENDED_REPRESENTATIONStringRELATED_TERMSCoverage error; Model assumption error; Non-response error; Non-sampling error; Over-coverage rate; Processing errorSOURCEThe Cambridge Dictionary of Statistics, B.S. Everitt, Cambridge University Press, 1998OTHER_LINKSStatistics Canada, "Statistics Canada Quality Guidelines", 4th edition, October 2003 (http://www.statcan.gc.ca/pub/12-539-x/12-539-x2003001-eng.pdf)Measurement errorError in reading, calculating or recording a numerical value.