There are many data collection methods, but how you ultimately choose to collect data will depend on the design of your study. Below are some common methods of collecting dissertation data and the types of projects for which these methods are most appropriate. Online data collection has become very popular. Compared to paper-and-pencil surveys, online data collection is much cheaper and less time consuming and allows researchers to recruit participants from a larger geographic area.
There are many websites for data collection, such as Survey Monkey and Psych Data, which make the process of collecting data very easy. Given its nature, online dissertation data collection is really only appropriate for quantitative research projects. Like the name implies, paper-and-pencil surveys are hard copies of your questionnaires that are handed out to participants to complete and return.
One advantage of using paper-and-pencil surveys is that participants are more likely to complete paper-and-pencil surveys if surveys are handed to participants and if participants are given time and space to complete the surveys n. The drawback of paper-and-pencil surveys is that you will have to enter the data by hand, which you would not have to do for dissertation data collected online.
However, you can always recruit eager undergraduates who want to get into grad school to help you enter the data. As with online data collection, paper-and-pencil surveys are only appropriate for quantitative research projects. But, how would your dissertation test that?
How would your dissertation measure the presence of angels? When thinking of a dissertation or thesis question, you must also think about the research design. A testable question regarding angels is "Do people believe in angels? As an example, your survey might simply ask "Do you believe in angels? For example, other dissertations may have found that more women than men believe in angels. You might also find a dissertation that reported Catholics believe in angels more often than atheists do.
A third research might have reported that people are more likely to believe in angels if the people in their social circles do. Combine it with a bunch of demographic information from your subjects and you may have a good dissertation. One group could be shown a news story about a person who claims they saw an angel. The subjects in this group, the experimental group, then complete a survey. The other group, the control group, does not see the news story, but completes the same survey.
What do you include in the survey? Good data collection involves collecting relevant data that adds to the body of knowledge. Knowing that people who believe in angels also eat spaghetti is not particularly useful nor important. The main thing to remember with data collection is to keep it simple, but important. And get the data you need the first time out!
For this research design, you could collect demographic information thought to be associated with your dependent variable belief in angels. Age, gender, religion, ethnicity, social network, and frequency of church attendance may be just a few. But how are you going to measure these variables?
Are they dichotomous variables?
Success of conducting research depends over the result that is gained by the researcher at the end of the research. These attained results are affected by the used methods to conduct research. In this way, there are two type of methods are available to collect the data to reach at the result of the research [ ].
Research can be defined as systematic investigation that contributes to knowledge. In this process data collection has significant role. Data means information which helps researcher to achieve research objective. The quality of research largely depends on collected information.
Data Collection for Dissertation & Thesis Research When collecting dissertation or thesis data, there are numerous things to consider. First, you must develop a good idea. This entry was posted in How to do Dissertation and tagged Triangulation Data Collection, Triangulation Data Collection for Research on January 26, by Jennifer Williams. About Jennifer Williams I am Jennifer Williams from UK.
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