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Related Experiment Videos

Eliminating invalid self-report survey data.

S B Pokorny1, L A Jason, M Schoeny

  • 1Department of Psychology, DePaul University, 2219 N. Kenmore Ave., Chicago, IL 60614, USA.

Psychological Reports
|December 4, 2001
PubMed
Summary
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Researchers analyzed drug, alcohol, and tobacco use in 6,370 middle school students. A data quality check revealed a subsample with invalid responses, differing significantly in demographics and tobacco use, highlighting the need to remove bad data.

Area of Science:

  • Adolescent health
  • Substance use research
  • Data quality assessment

Background:

  • Adolescent substance use, including alcohol, tobacco, and other drugs (ATOD), is a significant public health concern.
  • Accurate data collection is crucial for understanding prevalence and informing prevention strategies.
  • Questionable data can skew research findings and impact intervention effectiveness.

Purpose of the Study:

  • To assess the attitudes and use of alcohol, tobacco, and other drugs (ATOD) among middle school students.
  • To identify and evaluate the characteristics of a subsample with questionable data.
  • To determine the impact of data quality on demographic and substance use variables.

Main Methods:

  • Survey administration to 6,370 students in Grades 6-8 on ATOD attitudes and use.

Related Experiment Videos

  • Subsample identification based on missing, invalid, and inconsistent response criteria.
  • Comparative analysis of demographic variables and self-reported lifetime tobacco use between the main sample and the questionable data subsample.

    • Main Results:

    • A subsample exhibiting questionable data was identified within the larger student cohort.
    • This subsample significantly differed from the main group in demographic characteristics.
    • Lifetime tobacco use was also significantly higher in the subsample with questionable data.

    Conclusions:

    • Invalid data points can significantly bias study results.
    • Rigorous data cleaning and validation are essential in substance use research.
    • Efforts to identify and eliminate questionable data are critical for reliable findings on adolescent ATOD use.