Data collection methods
Download as PPT, PDF5 likes3,735 views
Secondary data refers to data that has already been collected by others, while primary data is data that is collected from scratch. Some key points: - Secondary data can save time and money compared to collecting primary data, though it may have limitations like being outdated, incomplete, or inconsistent. - Primary data allows collecting exactly what is needed but requires more resources for design, administration, and data handling. - The best approach is to first identify the research question and necessary data, then see if relevant secondary data exists, and only collect primary data if needed variables are unavailable from other sources.
Data collection methods
- 2. Where do data come from? We’ve seen our data for this lab, all nice and collated in a database – from: Insurance companies (claims, medications, procedures, diagnoses, etc.) Firms (demographic data, productivity data, etc.)
- 3. Where do data come from? Take a step back – if we’re starting from scratch, how do we collect / find data? Secondary data Primary data
- 4. Secondary Data Secondary data – data someone else has collected This is what you were looking for in your assignment.
- 5. Secondary Data – Examples of Sources County health departments Vital Statistics – birth, death certificates Hospital, clinic, school nurse records Private and foundation databases City and county governments Surveillance data from state government programs Federal agency statistics - Census, NIH, etc.
- 6. Secondary Data – Limitations What did you find on the frustrating side as you looked for data on the state’s websites?
- 7. Secondary Data – Limitations When was it collected? For how long? May be out of date for what you want to analyze. May not have been collected long enough for detecting trends. E.g. Have new anticorruption laws impacted Russia’s government accountability ratings?
- 8. Secondary Data – Limitations Is the data set complete? There may be missing information on some observations Unless such missing information is caught and corrected for, analysis will be biased.
- 9. Secondary Data – Limitations Are there confounding problems? Sample selection bias? Source choice bias? In time series, did some observations drop out over time?
- 10. Secondary Data – Limitations Are the data consistent/reliable? Did variables drop out over time? Did variables change in definition over time? E.g. number of years of education versus highest degree obtained.
- 11. Secondary Data – Limitations Is the information exactly what you need? In some cases, may have to use “proxy variables” – variables that may approximate something you really wanted to measure. Are they reliable? Is there correlation to what you actually want to measure? E.g. gauging student interest in U.W. by their ranking on FAFSA – subject to gamesmanship.
- 12. Secondary Data – Advantages No need to reinvent the wheel. If someone has already found the data, take advantage of it.
- 13. Secondary Data – Advantages It will save you money. Even if you have to pay for access, often it is cheaper in terms of money than collecting your own data. (more on this later.)
- 14. Secondary Data – Advantages It will save you time. Primary data collection is very time consuming. (More on this later, too!)
- 15. Secondary Data – Advantages It may be very accurate. When especially a government agency has collected the data, incredible amounts of time and money went into it. It’s probably highly accurate.
- 16. Secondary Data – Advantages It has great exploratory value Exploring research questions and formulating hypothesis to test.
- 17. Primary Data Primary data – data you collect
- 18. Primary Data - Examples Surveys Focus groups Questionnaires Personal interviews Experiments and observational study
- 19. Primary Data - Limitations Do you have the time and money for: Designing your collection instrument? Selecting your population or sample? Pretesting/piloting the instrument to work out sources of bias? Administration of the instrument? Entry/collation of data?
- 20. Primary Data - Limitations Uniqueness May not be able to compare to other populations
- 21. Primary Data - Limitations Researcher error Sample bias Other confounding factors
- 22. Data collection choice What you must ask yourself: Will the data answer my research question?
- 23. Data collection choice To answer that You much first decide what your research question is Then you need to decide what data/variables are needed to scientifically answer the question
- 24. Data collection choice If that data exist in secondary form, then use them to the extent you can, keeping in mind limitations. But if it does not, and you are able to fund primary collection, then it is the method of choice.