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How to do your dissertation secondary research in 4 steps

Use 'secondary data' in a Sentence

❶Original authors should have documented all their sample characteristics, measures, procedures, and protocols.

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Secondary data is data that already exists, such as census data, which can be re-used for the research. It is good ethical research practice to use secondary data wherever possible. For example, a researcher may choose to conduct a qualitative study and follow it up with a quantitative study to gain additional insights. Big data has brought big impacts on research methods so that now many researchers do not put much effort into data collection; furthermore, methods to analyze easily available huge amounts of data have also been developed.

Non-empirical theoretical research is an approach that involves the development of theory as opposed to using observation and experimentation. As such, non-empirical research seeks solutions to problems using existing knowledge as its source. This, however, does not mean that new ideas and innovations cannot be found within the pool of existing and established knowledge.

Non-empirical research is not an absolute alternative to empirical research because they may be used together to strengthen a research approach. Neither one is less effective than the other since they have their particular purpose in science.

Typically empirical research produces observations that need to be explained; then theoretical research tries to explain them, and in so doing generates empirically testable hypotheses; these hypotheses are then tested empirically, giving more observations that may need further explanation; and so on. A simple example of a non-empirical task is the prototyping of a new drug using a differentiated application of existing knowledge; another is the development of a business process in the form of a flow chart and texts where all the ingredients are from established knowledge.

Much of cosmological research is theoretical in nature. Mathematics research does not rely on externally available data; rather, it seeks to prove theorems about mathematical objects. Research ethics involves the application of fundamental ethical principles to a variety of topics involving research, including scientific research.

These principles include deontology , consequentialism , virtue ethics and value ethics. Ethical issues may arise in the design and implementation of research involving human experimentation or animal experimentation , such as: Research ethics is most developed as a concept in medical research.

The key agreement here is the Declaration of Helsinki. The Nuremberg Code is a former agreement, but with many still important notes. Research in the social sciences presents a different set of issues than those in medical research [44] and can involve issues of researcher and participant safety, empowerment and access to justice.

When research involves human subjects, obtaining informed consent from them is essential. In many disciplines, Western methods of conducting research are predominant. The increasing participation of indigenous peoples as researchers has brought increased attention to the lacuna in culturally-sensitive methods of data collection. Non-Western methods of data collection may not be the most accurate or relevant for research on non-Western societies.

Periphery scholars face the challenges of exclusion and linguicism in research and academic publication. As the great majority of mainstream academic journals are written in English, multilingual periphery scholars often must translate their work to be accepted to elite Western-dominated journals. Peer review is a form of self-regulation by qualified members of a profession within the relevant field.

Peer review methods are employed to maintain standards of quality, improve performance, and provide credibility. In academia, scholarly peer review is often used to determine an academic paper's suitability for publication.

Usually, the peer review process involves experts in the same field who are consulted by editors to give a review of the scholarly works produced by a colleague of theirs from an unbiased and impartial point of view, and this is usually done free of charge. The tradition of peer reviews being done for free has however brought many pitfalls which are also indicative of why most peer reviewers decline many invitations to review.

The open access movement assumes that all information generally deemed useful should be free and belongs to a "public domain", that of "humanity". For instance, most indigenous communities consider that access to certain information proper to the group should be determined by relationships.

There is alleged to be a double standard in the Western knowledge system. On the one hand, "digital right management" used to restrict access to personal information on social networking platforms is celebrated as a protection of privacy, while simultaneously when similar functions are utilised by cultural groups i. Even though Western dominance seems to be prominent in research, some scholars, such as Simon Marginson, argue for "the need [for] a plural university world". This could be due to changes in funding for research both in the East and the West.

Focussed on emphasizing educational achievement, East Asian cultures, mainly in China and South Korea, have encouraged the increase of funding for research expansion. In several national and private academic systems, the professionalisation of research has resulted in formal job titles. In present-day Russia, the former Soviet Union and in some post-Soviet states the term researcher Russian: The term is also sometimes translated as research fellow , research associate , etc.

Academic publishing is a system that is necessary for academic scholars to peer review the work and make it available for a wider audience. The system varies widely by field and is also always changing, if often slowly. Most academic work is published in journal article or book form. There is also a large body of research that exists in either a thesis or dissertation form.

These forms of research can be found in databases explicitly for theses and dissertations. In publishing, STM publishing is an abbreviation for academic publications in science, technology, and medicine. Most established academic fields have their own scientific journals and other outlets for publication, though many academic journals are somewhat interdisciplinary, and publish work from several distinct fields or subfields. The kinds of publications that are accepted as contributions of knowledge or research vary greatly between fields, from the print to the electronic format.

A study suggests that researchers should not give great consideration to findings that are not replicated frequently. Since about the early s, licensing of electronic resources, particularly journals, has been very common. Presently, a major trend, particularly with respect to scholarly journals, is open access. Most funding for scientific research comes from three major sources: These are managed primarily through universities and in some cases through military contractors.

Many senior researchers such as group leaders spend a significant amount of their time applying for grants for research funds. These grants are necessary not only for researchers to carry out their research but also as a source of merit.

The Social Psychology Network provides a comprehensive list of U. Government and private foundation funding sources. From Wikipedia, the free encyclopedia.

This article is about the search for knowledge. For other uses, see Research disambiguation. For other uses, see Researcher disambiguation.

For Wikipedia's policy against directly including in articles the results of editor-conducted research, see Wikipedia: Original research redirects here. For the Wikipedia policy, see Wikipedia: This section does not cite any sources.

Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. June Learn how and when to remove this template message. This article needs to be updated. This subsection's claims are potentially outdated in the "digital age" given that near-total penetration of Web access among scholars worldwide enables any scholar[s] to submit papers to any journal anywhere.

Like recruiting your participants, choosing and preparing your measures, and spending days or months collecting your data. That said, you do still need to know how to do secondary research. Which is what you're here for. So, go make a decent-sized mug of your favourite hot beverage consider a glass of water , too then come back and get comfy.

What's secondary research all about? Advantages of secondary research. Disadvantages of secondary research. Methods and purposes of secondary research. Secondary research process in 4 steps. Develop your research question s. Identify a secondary data set. Evaluate a secondary data set. Prepare and analyse secondary data. As you probably already know, primary research is when the researcher collects the data himself or herself.

In contrast, secondary research involves data that has been collected by somebody else previously. So to recap, secondary research involves re-analysing, interpreting, or reviewing past data.

The role of the researcher is always to specify how this past data informs his or her current research. In contrast to primary research, secondary research is easier, particularly because the researcher is less involved with the actual process of collecting the data. Furthermore, secondary research requires less time and less money i. TABLE 1 outlines the differences between primary and secondary research: One of the most obvious advantages is that, compared to primary research, secondary research is inexpensive.

Primary research usually requires spending a lot of money. For instance, members of the research team should be paid salaries. There are often travel and transportation costs. You may need to pay for office space and equipment, and compensate your participants for taking part.

There may be other overhead costs too. These costs do not exist when doing secondary research. Although researchers may need to purchase secondary data sets, this is always less costly than if the research were to be conducted from scratch. As an undergraduate or graduate student, your dissertation project won't need to be an expensive endeavour. Thus, it is useful to know that you can further reduce costs, by using freely available secondary data sets.

Most students value another important advantage of secondary research, which is that secondary research saves you time. Primary research usually requires months spent recruiting participants, providing them with questionnaires, interviews, or other measures, cleaning the data set, and analysing the results. With secondary research, you can skip most of these daunting tasks; instead, you merely need to select, prepare, and analyse an existing data set. In the past, students needed to go to libraries and spend hours trying to find a suitable data set.

New technologies make this process much less time-consuming. In most cases, you can find your secondary data through online search engines or by contacting previous researchers via email. A third important advantage of secondary research is that you can base your project on a large scope of data.

If you wanted to obtain a large data set yourself, you would need to dedicate an immense amount of effort. What's more, if you were doing primary research, you would never be able to use longitudinal data in your graduate or undergraduate project, since it would take you years to complete. This is because longitudinal data involves assessing and re-assessing a group of participants over long periods of time.

When using secondary data, however, you have an opportunity to work with immensely large data sets that somebody else has already collected. Thus, you can also deal with longitudinal data, which may allow you to explore trends and changes of phenomena over time.

With secondary research, you are relying not only on a large scope of data, but also on professionally collected data. This is yet another advantage of secondary research. For instance, data that you will use for your secondary research project has been collected by researchers who are likely to have had years of experience in recruiting representative participant samples, designing studies, and using specific measurement tools.

If you had collected this data yourself, your own data set would probably have more flaws, simply because of your lower level of expertise when compared to these professional researchers. The first such disadvantage is that your secondary data may be, to a greater or lesser extent, inappropriate for your own research purposes. This is simply because you have not collected the data yourself. When you collect your data personally, you do so with a specific research question in mind. This makes it easy to obtain the relevant information.

Thus, although secondary data may provide you with a large scope of professionally collected data, this data is unlikely to be fully appropriate to your own research question. There are several reasons for this. For instance, you may be interested in the data of a particular population, in a specific geographic region, and collected during a specific time frame.

However, your secondary data may have focused on a slightly different population, may have been collected in a different geographical region, or may have been collected a long time ago.

Apart from being potentially inappropriate for your own research purposes, secondary data could have a different format than you require. But the secondary data set may contain a categorical age variable; for example, participants might have indicated an age group they belong to e. A secondary data set may contain too few ethnic categories e. Differences such as these mean that secondary data may not be perfectly appropriate for your research. The above two disadvantages may lead to yet another one: As noted above, secondary data was collected with a different research question in mind, and this may limit its application to your own research purpose.

Unfortunately, the list of disadvantages does not end here. An additional weakness of secondary data is that you have a lack of control over the quality of data. All researchers need to establish that their data is reliable and valid. But if the original researchers did not establish the reliability and validity of their data, this may limit its reliability and validity for your research as well. To establish reliability and validity, you are usually advised to critically evaluate how the data was gathered, analysed, and presented.

But here lies the final disadvantage of doing secondary research: You might be faced with a lack of information on recruitment procedures, sample representativeness, data collection methods, employed measurement tools and statistical analyses, and the like. This may require you to take extra steps to obtain such information, if that is possible at all. TABLE 2 provides a full summary of advantages and disadvantages of secondary research: Conducting secondary research is much cheaper than doing primary research Inappropriateness: Secondary data may not be fully appropriate for your research purposes Saves time: Secondary research takes much less time than primary research Wrong format: Secondary data may have a different format than you require Accessibility: Secondary data is usually easily accessible from online sources.

May not answer your research question: Secondary data was collected with a different research question in mind Large scope of data: You can rely on immensely large data sets that somebody else has collected Lack of control over the quality of data: Secondary data may lack reliability and validity, which is beyond your control Professionally collected data: Secondary data has been collected by researchers with years of experience Lack of sufficient information: Original authors may not have provided sufficient information on various research aspects.

At this point, we should ask: Initially, you can use a secondary data set in isolation — that is, without combining it with other data sets.

You dig and find a data set that is useful for your research purposes and then base your entire research on that set of data. You do this when you want to re-assess a data set with a different research question in mind. Suppose that, in your research, you want to investigate whether pregnant women of different nationalities experience different levels of anxiety during different pregnancy stages.

Based on the literature, you have formed an idea that nationality may matter in this relationship between pregnancy and anxiety. If you wanted to test this relationship by collecting the data yourself, you would need to recruit many pregnant women of different nationalities and assess their anxiety levels throughout their pregnancy. It would take you at least a year to complete this research project. Instead of undertaking this long endeavour, you thus decide to find a secondary data set — one that investigated for instance a range of difficulties experienced by pregnant women in a nationwide sample.

The original research question that guided this research could have been: You are, therefore, re-assessing their data set with your own research question in mind. Your research may, however, require you to combine two secondary data sets. You will use this kind of methodology when you want to investigate the relationship between certain variables in two data sets or when you want to compare findings from two past studies.

To take an example: In some fields, such as classical history, the definition of a primary source is much more loose, because in many cases no exact contemporary sources are available.

Thus, writers who reported the works of earlier lost sources are often regarded as primary source material. Examples of primary sources in the humanities include newspaper articles, memoirs and fine art. In the natural sciences, such as physics and chemistry, primary research is the study of original findings derived from either the experiments or theories of other scientists.

This research--including lab and field reports--is found almost exclusively in academic journals. The definition of primary research is slightly different in the social sciences. While all the same criteria that apply to primary research in the humanities apply to the social sciences, a new category--numerical data derived from experimentation--is also considered primary research for social scientists, including statistical data and surveys.

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Unlike other forms of research, where you apply the work of others to your business, primary research aims to answer questions relevant solely to your company.

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Secondary research is defined as an analysis and interpretation of primary research. The method of writing secondary research is to collect primary research that is relevant to a writing topic and interpret what the primary research found.

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Definition of secondary research: Examining or reading about someone else's research (either primary or secondary), such as in a library. Secondary research or desk research is a research method that involves using already existing data. Existing data is summarized and collated to increase the overall effectiveness of research. Existing data is summarized and collated to increase the overall effectiveness of research.

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Secondary Market Research Definition: Market research that's already compiled and organized for you. Examples of secondary information include reports and studies by government agencies, trade associations or other businesses within your industry. The secondary research had indicated an increased saturation of the market however we were still the number one player in demand. 17 people found this helpful You may want to hire another company to do some secondary research to make sure you are breaking things down correctly.