Secondary Data Research in Social Science
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Questions and Answers

What is the AOR for motorcyclists with a positive blood alcohol level sustaining fatal injuries?

  • 7.47
  • 10.25
  • 9.47 (correct)
  • 8.75
  • What percentage more likely were pediatric casualties to sustain KSI on Halloween between 17:00 to 16:00?

  • 44.2%
  • 54.2%
  • 24.2%
  • 34.2% (correct)
  • What is the RERI value for the interaction effect between drunk and unhelmeted riding?

  • 6.7 (correct)
  • 7.1
  • 5.7
  • 6.3
  • What is the benefit of secondary data analysis?

    <p>It can provide alternative approaches for research</p> Signup and view all the answers

    What type of dataset was used in the study?

    <p>National Taiwan crash dataset</p> Signup and view all the answers

    What software was used for data analysis in the study?

    <p>STATA</p> Signup and view all the answers

    What is the AOR for unhelmeted motorcyclists sustaining fatal injuries?

    <p>2.1</p> Signup and view all the answers

    Why is it important to research the combined effect of risk factors?

    <p>Because there is growing evidence of interaction effects</p> Signup and view all the answers

    What was done to cases with missing data in the study?

    <p>They were removed and tested if missing at random</p> Signup and view all the answers

    What is the benefit of using secondary datasets for students?

    <p>It provides an opportunity to analyse a set of data with different approaches</p> Signup and view all the answers

    Study Notes

    Definition and Types of Secondary Data Research

    • Secondary data research involves using data collected for other purposes, which can be collected by the same team or provided by other sources such as government, NGOs, universities, literature reviews, or hospitals.

    Sources of Secondary Data

    • Government sources: Riskesdas, SDKI, BPJS, BPS
    • NGO sources: IFLS
    • University sources: HDSS
    • Literature reviews
    • Hospital sources: medical records

    Examples of Available Secondary Datasets in Indonesia

    • Indonesia Family Life Survey (IFLS): 5 waves since 1993, every 5 years, longitudinal survey
    • Indonesia Demographic and Health Survey (IDHS or SDKI): every 5 years since 1997, repeated cross-sectional
    • Basic Health Research (Riskesdas): 2007, 2010, 2013, 2018, repeated cross-sectional
    • BPJS dataset: 2015-2021, every year, longitudinal for 1% sample from all BPJS participants

    Examples of Available Datasets Outside Indonesia

    • USA: CDC BRFSS, CDC YRBSS, FARS, etc.
    • World Bank: World Bank open data
    • UK: STATS-19 UK (accident database from 1979)

    Advantages of Secondary Data Research

    • Cost savings
    • Time efficiency
    • Access to large, complex datasets
    • Ability to explore new research questions or test hypotheses

    Challenges of Secondary Data Research

    • Data quality issues cannot be modified
    • Limited data availability
    • Data compatibility issues due to different sources and formats
    • Data bias introduction due to new hypotheses
    • Data ethics concerns
    • Need for advanced data management skills
    • Limited data documentation

    Data Preparation

    • Combining data from different sources
    • Managing missing data: deciding whether data is missing at random, and using imputation if necessary

    Data Analysis

    • Similar to primary data analysis: using chi-square, t-tests, regression, multilevel/panel data
    • Need to use complex data analysis techniques to improve novelty, such as interaction analysis, mediation, and multilevel analysis

    Ethical Considerations

    • Need ethical clearance
    • Usually no informed consent is needed
    • Data should be anonymized (no names or identifiers)

    Case Study: UK Traffic Dataset

    • Analyzed UK STATS19 crash data from 1990-2017
    • Found that incidents resulting in child pedestrian fatalities are most frequent during spring and fall
    • Found that pediatric casualties on Halloween were 34.2% more likely to sustain KSIs than on other days

    Interaction Analysis Using Secondary Database

    • Need to research combined effects of multiple risk factors
    • Example: interaction effect between drunk and unhelmeted riding on motorcyclist fatalities
    • Used National Taiwan crash dataset from 2011-2015, and found a positive interaction effect between drunk and unhelmeted riding

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    Description

    This quiz covers the definition, types, and sources of secondary data research, including government, NGO, university, literature review, and hospital sources.

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