What Type Of Research Is Secondary Data Analysis?

What is an example of secondary data?

Secondary data refers to data that is collected by someone other than the primary user.

Common sources of secondary data for social science include censuses, information collected by government departments, organizational records and data that was originally collected for other research purposes..

What are examples of primary and secondary data?

Examples include interview transcripts, statistical data, and works of art. A primary source gives you direct access to the subject of your research. Secondary sources provide second-hand information and commentary from other researchers. Examples include journal articles, reviews, and academic books.

What is an example of secondary research?

Common examples of secondary research include textbooks, encyclopedias, news articles, review articles, and meta analyses. When conducting secondary research, authors may draw data from published academic papers, government documents, statistical databases, and historical records.

Which of the following is an example of secondary research?

Gathering statistics online is an example of secondary research.

What is secondary data analysis quizlet?

Secondary data analysis. The method of using preexisting data in different way or to answer a different research question that intended by those who collected the data (Collected by someones else) Secondary data. -Previously collected data that are used in a new analysis.

Which problem occurs when secondary data is used for analysis?

Disadvantages of Secondary Data Analysis A major disadvantage of using secondary data is that it may not answer the researcher’s specific research questions or contain specific information that the researcher would like to have.

What type of research uses secondary data?

Quantitative secondary research is much more common than qualitative secondary research. However, this is not to say that you cannot use qualitative secondary data in your research project. This type of secondary data is used when you want the previously-collected information to inform your current research.

Which of the following is an example of secondary data analysis?

Your company collects and analyzes data from the U.S. census is the correct answer. Explanation: Your company collects and analyzes data from the U.S. census is an example of secondary data. Secondary data is data collected by others for some different purpose but it is used by the researcher for a different purpose.

Why would you use secondary research?

Secondary data analysis involves a researcher using the information that someone else has gathered for his or her own purposes. Researchers leverage secondary data analysis in an attempt to answer a new research question, or to examine an alternative perspective on the original question of a previous study.

What are 3 examples of qualitative data?

Examples of qualitative data include sex (male or female), name, state of origin, citizenship, etc. A more practical example is a case whereby a teacher gives the whole class an essay that was assessed by giving comments on spelling, grammar, and punctuation rather than score.

How do you Analyse a secondary source?

Evaluating Secondary SourcesWho is the author? … Was the book/ journal published by a scholarly publisher?What is the purpose of the text or motive for writing it?Does the writer have an obvious bias?Does the book/ article have an extensive bibliography?What are the primary sources referred to by the author?More items…•

What is a secondary analysis?

Secondary analysis is the re-analysis of either qualitative or quantitative data already collected in a previous study, by a different researcher normally wishing to address a new research question. … Archive sources of data-sets. Secondary analysis for student dissertations.

Is secondary data qualitative or quantitative?

Secondary data can include both quantitative and qualitative sources. The official statistics are an example of secondary data which is quantitative. An example of secondary data which is qualitative would be somebody’s diary.

How do you analyze secondary research data?

To conduct meaningful secondary analysis, researchers must spend significant time reading and learning about the origins of the data sets. Through careful reading and vetting, researchers can determine: The purpose for which the material was collected or created. The specific methods used to collect it.

What are the pros and cons of secondary research?

Pros: As it is largely based on already existing data derived from previous research, secondary research can be conducted more quickly and at a lesser cost. Cons: A major disadvantage of secondary research is that the researcher may have difficulty obtaining information specific to his or her needs.

Is a biography a secondary source?

For example, an autobiography is a primary source while a biography is a secondary source. Typical secondary sources include: Scholarly Journal Articles. Use these and books exclusively for writing Literature Reviews.

Is secondary data analysis a primary source?

Primary data is the type of data that is collected by researchers directly from main sources while secondary data is the data that has already been collected through primary sources and made readily available for researchers to use for their own research.

Is a textbook a secondary source?

Secondary sources describe, interpret or analyze information obtained from other sources (often primary sources). Examples of secondary sources include many books, textbooks, and scholarly review articles.

What are the 4 types of quantitative research?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research.

What are the methods of secondary data collection?

Secondary Data Collection MethodsGovernment publications.Public records.Historical and statistical documents.Business documents.Technical and trade journals.

What is secondary data analysis in research?

Abstract and Keywords. Secondary data analysis refers to the analysis of existing data collected by others. Secondary analysis affords researchers the opportunity to investigate research questions using large-scale data sets that are often inclusive of under-represented groups, while saving time and resources.