Conditions that may take longer to occur in a natural environment may occur more quickly in an experimental setting. There are many variations of experimental research and the researcher can tailor the experiment while still maintaining the validity of the design. Experimental research can create artificial situations that do not always represent real-life situations.
This is largely due to fact that all other variables are tightly controlled which may not create a fully realistic situation. Because the situations are very controlled and do not often represent real life, the reactions of the test subjects may not be true indicators of their behaviors in a non-experimental environment.
Human error also plays a key role in the validity of the project as discussed in previous modules. It may not be really possible to control all extraneous variables. The health, mood, and life experiences of the test subjects may influence their reactions and those variables may not even be known to the researcher. The research must adhere to ethical standards in order to be valid. These will be discussed in the next module of this series. Experimental research designs help to ensure internal validity but sometimes at the expense of external validity.
When this happens, the results may not be generalizable to the larger population. If an experimental study is conducted in its natural environment, such as a hospital or community, it may not be possible to control the extraneous variables. Qualitative and quantitative approaches. Qualitative, quantitative, and mixed methods approaches.
How to design and evaluate research in education Vol. Qualitative research creates findings that are valuable, but difficult to present. Presenting the findings which come out of qualitative research is a bit like listening to an interview on CNN. The interviewer will ask a question to the interviewee, but the goal is to receive an answer that will help present a database which presents a specific outcome to the viewer.
We need to pass a law to change that. What a research gleans from the data can be very different from what an outside observer gleans from the data. Data created through qualitative research is not always accepted.
Because of the subjective nature of the data that is collected in qualitative research, findings are not always accepted by the scientific community. A second independent qualitative research effort which can produce similar findings is often necessary to begin the process of community acceptance. Researcher influence can have a negative effect on the collected data. The quality of the data that is collected through qualitative research is highly dependent on the skills and observation of the researcher.
If a researcher has a biased point of view, then their perspective will be included with the data collected and influence the outcome. There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity.
Otherwise, it would be possible for a researcher to make any claim and then use their bias through qualitative research to prove their point. Replicating results can be very difficult with qualitative research. The scientific community wants to see results that can be verified and duplicated to accept research as factual.
In the world of qualitative research, this can be very difficult to accomplish. Not only do you have the variability of researcher bias for which to account within the data, but there is also the informational bias that is built into the data itself from the provider.
This means the scope of data gathering can be extremely limited, even if the structure of gathering information is fluid, because of each unique perspective. Difficult decisions may require repetitive qualitative research periods.
The smaller sample sizes of qualitative research may be an advantage, but they can also be a disadvantage for brands and businesses which are facing a difficult or potentially controversial decision.
A small sample is not always representative of a larger population demographic, even if there are deep similarities with the individuals involve. This means a follow-up with a larger quantitative sample may be necessary so that data points can be tracked with more accuracy, allowing for a better overall decision to be made. Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous.
The research is dependent upon the skill of the researcher being able to connect all the dots. If the researcher can do this, then the data can be meaningful and help brands and progress forward with their mission. If not, there is no way to alter course until after the first results are received. Then a new qualitative process must begin.
Researchers must have industry-related expertise. You can have an excellent researcher on-board for a project, but if they are not familiar with the subject matter, they will have a difficult time gathering accurate data. For qualitative research to be accurate, the interviewer involved must have specific skills, experiences, and expertise in the subject matter being studied.
They must also be familiar with the material being evaluated and have the knowledge to interpret responses that are received. If any piece of this skill set is missing, the quality of the data being gathered can be open to interpretation. Qualitative research is not statistically representative.
The one disadvantage of qualitative research which is always present is its lack of statistical representation. It is a perspective-based method of research only, which means the responses given are not measured. Comparisons can be made and this can lead toward the duplication which may be required, but for the most part, quantitative data is required for circumstances which need statistical representation and that is not part of the qualitative research process.
The advantages and disadvantages of qualitative research make it possible to gather and analyze individualistic data on deeper levels. As compared to secondary research, where a person simply obtains pre-researched information, primary research consumes a lot of time. Since the respondents in primary research are many and varied, a researcher runs the risk of obtaining biased or inaccurate findings.
However, this drawback can be eliminated by targeting a sampled audience. Another disadvantage is the timing factor.
As primary research takes a lot of time, its findings could be irrelevant by the time they are processed. One method of primary research is questionnaires. Here, respondents may wrongly interpret the questions, leading to wrong or undesirable feedback.
The advantages and disadvantages of qualitative research are quite unique. On one hand, you have the perspective of the data that is being collected. On the other hand, you have the techniques of the data collector and their own unique observations that can alter the information in subtle ways.
Learn about the advantages and disadvantages of quantitative research and how and when to use it versus qualitative methods in market research.
Many of the benefits and limitations of the specific descriptive research methods have been alluded to in previous modules in this series. Following is a summary regarding both the advantages and the disadvantages of using descriptive research methodology in general. Online surveys and mobile surveys tend to be the most cost-effective modes of survey research, yet they may not reach those respondents that can only respond using alternate modes. Advantages. Relatively easy to administer; 5 thoughts on “ Advantages and Disadvantages of Surveys ” jamhuri heri on June 2.
The Advantages and Disadvantages of Different Research Methods Claire St John Eve July 24, Hopefully this overview will help you to think about the possible benefits and drawbacks of using a particular method, and also help you think about which type of project will help you to really get what you want out of the project and of the year. Disadvantages of Qualitative Research Qualitative research displays its own strengths however, this is also associated with some disadvantages and these include the following: • The quality of research is heavily dependent on the skills of the researcher and can be easily influenced by personal idiosyncrasies and biases of researchers.