Literature DB >> 12281664

A study of digit preference and quality of age data in Turkish censuses.

B N Mukherjee, B K Mukhopadhyay.   

Abstract

The authors study digit preference and the quality of age data in the 1945, 1955, and 1970 censuses of Turkey. "Using the age distributions in successive censuses and particular cohort groups as well as the analysis of stable population, severe misreporting of certain ages was found. The...age data seem to be influenced substantially by both response errors and coverage errors....[and] show heaping at ages ending in zero and five years. The pattern of heaping is pronounced from age 20 onwards and this is true both for males and females. Various analyses showed clear evidence of heaping in all the three censuses at the age group 40-44 years irrespective of sex. The magnitude of digit preference bias seems to be reducing with the passage of time. This is especially true in the case of females. The possibility of increased female literacy as a factor underlying this reduction is pointed out. Other implications of the results are discussed." (SUMMARY IN FRE AND ITA) excerpt

Entities:  

Keywords:  Age Factors; Age Reporting; Asia; Bias; Census; Census Methods; Data Collection; Data Reporting; Demographic Factors; Developing Countries; Economic Factors; Educational Status; Error Sources; Evaluation; Literacy--women; Measurement; Mediterranean Countries; Population; Population Characteristics; Population Statistics; Reliability; Research Methodology; Sex Factors; Socioeconomic Factors; Socioeconomic Status; Turkey; Western Asia

Mesh:

Year:  1988        PMID: 12281664

Source DB:  PubMed          Journal:  Genus        ISSN: 0016-6987


  2 in total

1.  Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015.

Authors:  Mark Lyons-Amos; Tara Stones
Journal:  BMC Res Notes       Date:  2017-12-20

2.  Effectiveness of modular approach in ensuring data quality in large-scale surveys: Evidence from National Family Health Survey - 4 (2015-2016).

Authors:  Shri Kant Singh; Santosh Kumar Sharma; Md Juel Rana; Akash Porwal; Laxmi Kant Dwivedi
Journal:  SSM Popul Health       Date:  2022-10-04
  2 in total

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