Detecting Fraudulent Interviewers by Improved Clustering Methods – The Case of Falsifications of Answers to Parts of a Questionnaire
Falsified interviews represent a serious threat to empirical research based on survey data. The identification of such cases is important to ensure data quality. Applying cluster analysis to a set of indicators helps to identify suspicious interviewers when a substantial share of all of their interv...
Main Authors: | De Haas Samuel, Winker Peter |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2016-09-01
|
Series: | Journal of Official Statistics |
Subjects: | |
Online Access: | https://doi.org/10.1515/jos-2016-0033 |
Similar Items
-
How Interviewer Effects Differ in Real and Falsified Survey Data: Using Multilevel Analysis to Identify Interviewer Falsifications
by: Uta Landrock
Published: (2017-07-01) -
A methodology for the falsification of local seismic hazard analysis
by: G. Grandori
Published: (1993-06-01) -
Systematization of falsification risk factors in financial statements: accounting aspect
by: N.О. Mizyakina
Published: (2016-12-01) -
scores on L scale and its relationship with the responses falsification on MA scales
by: Kamal E. Moursy
Published: (1981-01-01) -
Notary Liability over their Involvement in Document Falsification Crime
by: Isdian Anggraeny, et al.
Published: (2020-04-01)