Index by Topic
Business Frame | Data adjustment | Interviewing | Misinterpretation | Non-response | Processing | Questionnaire Design | Respondents
All the sources of error discussed are listed below in alphabetical order within each of the topics. Click on the source of error you are interested in to link to the discussion on the source of non-sampling error, learn why it is a problem, what its impact is, what Statistics New Zealand currently does to minimise and control the source of error and what we will be doing in the future.
Data collected using external sources
Delays in birthing businesses
Delays in ceasing businesses
Frames created using other sources
Inaccurate classification
Inappropriate link of collection unit to statistical unit
Industries not actively updated
Outdated information
Adjustment due to incorrect time period
GST adjustments
Seasonal adjustment
Interviewing error
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Format and readability of publications
Users not aware of limitations of results
Users not provided with sufficient explanations
Users provided with misleading graphs
Complete non-response
Imputation Methodology
Non-responding births
Partial non-response
Apportionment of data
Data entry
Electronic data capture
Business classification
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Concepts in questionnaire inadequately defined
Dress rehearsal (test) conditions different from reality
Incorporation of new technologies
Information not readily available
Language used
Questionnaire not aligned with issues in the economy
Questionnaire testing
Questionnaire updating in each new survey period
Unable to individually tailor questionnaires
Inconsistent answers given over time
Information required not available to business
Mechanical errors made by respondents
Respondent load
Respondent interruption
Respondent misreporting
Respondent misunderstanding
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