Secondary data means data collected by someone else earlier.
Surveys, observations, experiments, questionnaire, personal interview
, etc. Government publications, websites, books, journal articles, internal records etc.
What are two secondary data examples?
- information collected through censuses or government departments like housing, social security, electoral statistics, tax records.
- internet searches or libraries.
- GPS, remote sensing.
- km progress reports.
What are the two types of secondary data?
There are two common types of secondary data:
Internal data and External data
. Internal data is the information that has been stored or organized by the organization itself. External data is the data organized or collected by someone else.
What is secondary data give me three examples?
Sources of secondary data include
books, personal sources, journals, newspapers, websitess, government records etc
. Secondary data are known to be readily available compared to that of primary data. It requires very little research and needs for manpower to use these sources.
What are examples of secondary data analysis?
Examples include
government census reports, other governmental databases, and administrative data
. Researchers are often drawn to the time and cost saving benefits of using secondary data. Secondary data may also provide information the researcher would not have access to alone.
Which are the two methods of collecting secondary data?
- Government publications.
- Public records.
- Historical and statistical documents.
- Business documents.
- Technical and trade journals.
What is the difference between primary data and secondary data?
Primary data refers to the first hand data gathered by the researcher himself.
Secondary data means data collected by someone else earlier
. Surveys, observations, experiments, questionnaire, personal interview, etc. Government publications, websites, books, journal articles, internal records etc.
When would you use secondary data?
- A particularly good collection of data already exists.
- You are doing a historical study – that is, your study begins and ends at a particular point in time.
- You are covering an extended period, and analysing development over that period – a longitudinal study.
What are examples of secondary sources?
Secondary sources describe, summarize, or discuss information or details originally presented in another source; meaning the author, in most cases, did not participate in the event. … Examples of a secondary source are:
Publications such as textbooks, magazine articles, book reviews, commentaries, encyclopedias, almanacs
.
What is an example of qualitative data?
Qualitative data describes qualities or characteristics. It is collected using questionnaires, interviews, or observation, and frequently appears in narrative form. For example, it could be
notes taken during a focus group on the quality of the food at Cafe Mac
, or responses from an open-ended questionnaire.
What are primary and secondary data in statistics?
In statistical analysis, collection of data plays a significant part. … In this process,
the primary data is assembling data or information for the first time
, whereas the secondary data is the data that has already been gathered or collected by others.
What are primary data and secondary data which of the two is more reliable and why?
Answer:
Primary data are more reliable than secondary
data. It is because primary data are collected by doing original research and not through secondary sources that may subject to some errors or discrepancies and may even contain out-dated information. Secondary data are less reliable than primary data.
What are the disadvantages of using secondary data?
- Might be not specific to your needs. Secondary data is not specific to the researcher’s needs due to the fact that it was collected in the past for another reason. …
- You have no control over data quality. The secondary data might lack quality. …
- Biasness. …
- Not timely. …
- You are not the owner of the information.
How do you write a secondary data analysis?
Secondary data analysis and review involves collecting and analyzing a vast array of information. To help you stay focused, your first step should be to develop a
statement of purpose
– a detailed definition of the purpose of your research – and a research design.
What is secondary data in statistics?
Secondary data are
data, which cannot be traced back to the level of individual cases of statistical units
. In contrast to primary data it does not allow for mathematical calculations such as determining an arithmetic mean, a correlation, etc.
How do you evaluate secondary data?
- Who collected the data.
- What is the data provider’s purpose or goal.
- When was the data collected.
- How the data was collected.
- What type of data was collected.
- Whether the data is consistent with data from other sources.
