Secondary Research is of value when information is compared and analyzed, when the researcher performs a critical review of the data, and when the researcher comes up with actionable findings to move the project forward.
After the brainstorming process, several ideas and themes had been chosen for mock-ups. The ideas and themes were then divided into styles, and secondary researches had been conducted based on those styles as topics. Most information was in the form of visual data. Information was arranged into mood boards for analysis. These findings led to a search for a new approach to the campaign that could make the Fall Winter ad unique.
A brainstorming process was used once again and a final campaign evolved that met the expectations of stakeholders. The company used a 14 years old fashion icon to be the face of the brand and the photo shot was done in a home setting, with the model doing ordinary things instead of posing in front of the camera.
Without the process of secondary research, the campaign would have likely had outcomes similar to their previous work. The Market Research Toolbox: A Concise Guide for Beginners, 3rd Edition. Thuy Linh Do Edited by Christine Keene Overview Secondary Research is a common research method; it involves using information that others have gathered through primary research.
Assess easy, low-cost and quick knowledge; Clarify the research question; Help align the focus of primary research in a larger scale and can also help to identify the answer; and Rule out potentially irrelevant project proposals ex. The proposed work may have already been carried out. Goes By This technique is also known as Desk Research. Variations There are two types of Secondary Research hence two types of data collected from this technique: Each Secondary Research process involves 4 steps that can be repeated as necessary: Identifying the subject domain and where to acquire the information; Gathering existing data; Comparing data from different sources, if necessary and if feasible; and Analyzing the data 1.
Good sources of information include: Internal data such as databases, sale reports, past primary researches; Government statistics and information from government agencies such as Canada Business Service Centre http: Passport GMID or Datamonitor ; and Different media such as articles from respected magazines and newspaper, reports from university research centers or non-profit agency.
Moreover, the objective and the method adopted for acquiring data may not be suitable to the current situation. Therefore, before using secondary data, these factors should be kept in mind. The fundamental differences between primary and secondary data are discussed in the following points:. As can be seen from the above discussion that primary data is an original and unique data, which is directly collected by the researcher from a source according to his requirements. As opposed to secondary data which is easily accessible but are not pure as they have undergone through many statistical treatments.
Thank you for the information it is of great importance to us as Anderson students who have the privilege to use internet for our assignments. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Key Differences Between Primary and Secondary Data The fundamental differences between primary and secondary data are discussed in the following points: The term primary data refers to the data originated by the researcher for the first time.
Secondary data is the already existing data, collected by the investigator agencies and organisations earlier. Primary data is a real-time data whereas secondary data is one which relates to the past. Primary data is collected for addressing the problem at hand while secondary data is collected for purposes other than the problem at hand. Primary data collection is a very involved process. On the other hand, secondary data collection process is rapid and easy.
Primary data collection sources include surveys, observations, experiments, questionnaire, personal interview, etc. On the contrary, secondary data collection sources are government publications, websites, books, journal articles, internal records etc.
Primary data collection requires a large amount of resources like time, cost and manpower. Conversely, secondary data is relatively inexpensive and quickly available. Primary data is available in the raw form whereas secondary data is the refined form of primary data. It can also be said that secondary data is obtained when statistical methods are applied to the primary data. Data collected through primary sources are more reliable and accurate as compared to the secondary sources.
Most research requires the collection of primary data (data that you collect at first hand), and this is what students concentrate on. Unfortunately, many research reports do not include secondary data in their findings section although it is perfectly acceptable to do so, providing you have analyzed it.
that secondary data analysis is a viable method to utilize in the process of inquiry when a systematic procedure is followed and presents an illustrative research application utilizing secondary data analysis in library and information science research.
Secondary Research is of value when information is compared and analyzed, when the researcher performs a critical review of the data, and when the researcher comes up with actionable findings to move the project forward. Secondary data analysis, on the other hand, is the use of data that was collected by someone else for some other purpose. In this case, the researcher poses questions that are addressed through the analysis of a data set that they were not involved in collecting.
Secondary Data Collection Methods Definition: When the data are collected by someone else for a purpose other than the researcher’s current project and has already undergone the statistical analysis is called as Secondary Data. Data collection plays a very crucial role in the statistical analysis. In research, there are different methods used to gather information, all of which fall into two categories, i.e. primary data, and secondary data.