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Q: How is secondary data useful to researcher?
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Differences between primary data and secondary data?

Primary data is data that is collected by the researcher. Secondary data is information that has been collected by someone other than the user.


What are primary and secondary research?

From my understanding, Primary and Secondary research are the difference in conducting the research. In Primary research, there is no data available for the researcher, hence the researcher has to start from scratch. This means that the researcher needs to design questionaires, collect data from respondents and then analyse the result. If you are doing secondary research, the researcher have the necessary data available. These data are made available through other publications or reports, like newspaper or annual reports of companies. If the researcher is doing secondary research, there is no need to start from scratch, he or she uses the data or information done by other organizations or publications. The important thing is that there are advantages and disadvantages for both methods. Primary research is more time consuming and costly. While some secondary research may not suit the researcher's needs.


Differentiate between primary and secondary data?

Secondary data is collected by someone other than the researcher, such as census information. Primary data is collected first hand, such as interviews.


What problems of secondary data quality must researchers face?

Researchers who use secondary sources must make their best efforts to verify the accuracy of the information. For example, a researcher who cites a newspaper article about a court hearing should dig further to verify the information. To do this they may need to get transcripts of the court hearing. It may not always be easy to verify secondary data in research, but every effort must be made in order to prove the credibility of the sources being used in any research. Researchers must also determine the value of secondary sources at times. If no primary sources are available a researcher must use secondary sources. In order to use credible secondary sources and retrieve honest and accurate information a researcher must validate the sources by evaluating them thoroughly. To evaluate secondary sources a researcher must consider the purpose, scope, authority, and audience that the information is based on (Cooper & Schindler, 2006, Ch. 7). Determining these factors will help a researcher choose secondary sources that have strong value. Secondary data is a source that many researchers will have to use at times. Using secondary data as the only available resource can cause problems of verification and credibility. This makes a researcher's job harder. Although the use of secondary resources can bring extra work, it must be done at times. For a researcher to get past the problems of credibility presented by secondary resources a researcher must take steps to verify secondary sources. A researcher must also make well thought out judgments on secondary resources if they want their research to appear credible and valid. Understanding the problems with secondary research data is the first step in determining how to deal with these problems.


Difference between a primary market reserch and a secondary market research?

Primary market research is like primary data collection, which is original or untampered data which is obtained by the researcher directly from the respondents. This is a rather time consuming method as the researcher should approach respondents based on the nature of the data. Secondary market research is a subset to Primary market research where the researcher collects data from the already collected research data. This saves time and effort as information to the problem is already available and new information alone has to be collected.


What is the meaning of Data Researcher?

A data researcher is someone who collects, analyzes, and interprets data to generate insights and support decision-making. They often work with large datasets to identify trends, patterns, and correlations that can be used to inform strategies and solve problems.


What is secondary data?

Secondary data is collecting and possibly processing data by people other than the researcher in question. Common sources of secondary data for social science include censuses, large surveys, and organizational records (Mintel). In sociology primary data is data you have collected yourself and secondary data is data you have gathered from primary sources to create new research. In terms of historical research, these two terms have different meanings. A primary source is a book or set of archival records. A secondary source is a summary of a book or set of records. Advantages to the secondary data collection method are - 1) it saves time that would otherwise be spent collecting data, 2) provides a larger database (usually) than what would be possible to collect on ones own However there are disadvantages to the fact that the researcher cannot personally check the data so its reliability may be questioned.


What is the advantages of secondary market research?

· Secondary data is the most easily accessible data and saves the researcher the trouble of going through the tiresome process of collecting data personally. · Secondary data is readily available at cheap rates and is usually quite inexpensive. · Collecting secondary data and analysing it saves time and effort. · Secondary data is unobtrusive. It is easily available and the researcher can get it without much struggle. · Secondary data avoids data collection problems and it provides a basis for comparison. · It can be less expensive than gathering the data all over again. · This data type may allow the researcher to cover a wider geographic or temporal range. · Secondary data can allow for larger scale studies on a small budget. · Secondary data provides an opportunity for longitudinal analysis based on the previous waves of survey. · Secondary data is a good indicator for analyzing the social change overtime. · This type of data also provides an opportunity for cross-cultural analysis with fewer limits of time, cost and language. · Collecting secondary data leaves more time for making in depth data analysis. · Re-analysis of the same secondary data may offer different insights regarding the analysis by focusing on one variable or subgroup. · With secondary data the researchers might be able to test hypotheses they had not thought of, or examine the strengths of their arguments. · Secondary data may be available which is entirely appropriate and wholly adequate to draw conclusions and answer the question or solve the problem. Sometimes primary data collection simply is not necessary. · It is far cheaper to collect secondary data than to obtain primary data. For the same level of research budget a thorough examination of secondary sources can yield a great deal more information than can be had through a primary data collection exercise. · When the researcher has collected the secondary data, there is no need to repeat the field work necessary for the collection of data. · The time involved in searching secondary sources is much less than that needed to complete primary data collection. · Secondary sources of information can yield more accurate data than that obtained through primary research. This is not always true but where a government or international agency has undertaken a large scale survey, or even a census, this is likely to yield far more accurate results than custom designed and executed surveys when these are based on relatively small sample sizes. · It should not be forgotten that secondary data can play a substantial role in the exploratory phase of the research when the task at hand is to define the research problem and to generate hypotheses. The assembly and analysis of secondary data almost invariably improves the researcher's understanding of the marketing problem, the various lines of inquiry that could or should be followed and the alternative courses of action which might be pursued. · Often the secondary data provides valuable background for the research - for example, it enables users to judge whether a small sample they have gathered is typical of the national population. · Government survey organizations have considerable expertise and relatively massive resources, including the power to compel participation (e.g. in census-taking), so samples are more likely to be of large size and truly representative of the population. · Secondary sources help define the population. Secondary data can be extremely useful both in defining the population and in structuring the sample to be taken. For instance, government statistics on a country's agriculture will help decide how to stratify a sample and, once sample estimates have been calculated, these can be used to project those estimates to the population.


Why should a researcher never quote from an annotation?

Because its secondary authority.


Advantage disadvantage of secondary Data?

Advantages to the secondary data collection method are - 1) it saves time that would otherwise be spent collecting data, 2) provides a larger database (usually) than what would be possible to collect on ones own However there are disadvantages to the fact that the researcher cannot personally check the data so it's reliability may be questioned. See: http://en.wikipedia.org/wiki/Secondary_data The link above is primarily on the use of secondary data for purposes of calculating statistics. In this electronic age, secondary data is disseminated very rapidly, such as credit card or employment history. You may want to browse the internet about problems when personal secondary data is widely available.


What is external secondary data?

External secondary data - data that is obtained outside the firm itself.


Sources of secondary data?

Secondary data is a data collected by someone other than the user. Secondary data for social science include censuses and organizational records.