Data Collection Methods
The purpose of this page is to describe important data collection methods used in Research ..
Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results.
Data collection methods for impact evaluation vary along a continuum. At the one end of this continuum are quantatative methods and at the other end of the continuum are Qualitative methods for data collection .
Quantitative and Qualitative Data collection methods
The Quantitative data collection methods, rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize, compare, and generalize.
Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question, participants may be randomly assigned to different treatments. If this is not feasible, the researcher may collect data on participant and situational characteristics in order to statistically control for their influence on the dependent, or outcome, variable. If the intent is to generalize from the research participants to a larger population, the researcher will employ probability sampling to select participants.
Typical quantitative data gathering strategies include:
In Quantitative research(survey research),interviews are more structured than in Qualitative research.(http://www.stat.ncsu.edu/info/srms/survpamphlet.html
In a structured interview,the researcher asks a standard set of questions and nothing more.(Leedy and Ormrod, 2001)
Face -to -face interviews have a distinct advantage of enabling the researcher to establish rapport with potential partiocipants and therefor gain their cooperation.These interviews yield highest response rates in survey research.They also allow the researcher to clarify ambiguous answers and when appropriate, seek follow-up information. Disadvantages include impractical when large samples are involved time consuming and expensive.(Leedy and Ormrod, 2001)
Telephone interviews are less time consuming and less expensive and the researcher has ready access to anyone on the planet who hasa telephone.Disadvantages are that the response rate is not as high as the face-to- face interview but cosiderably higher than the mailed questionnaire.The sample may be biased to the extent that people without phones are part of the population about whom the researcher wants to draw inferences.
Computer Assisted Personal Interviewing (CAPI): is a form of personal interviewing, but instead of completing a questionnaire, the interviewer brings along a laptop or hand-held computer to enter the information directly into the database. This method saves time involved in processing the data, as well as saving the interviewer from carrying around hundreds of questionnaires. However, this type of data collection method can be expensive to set up and requires that interviewers have computer and typing skills.
Paper-pencil-questionnaires can be sent to a large number of people and saves the researcher time and money.People are more truthful while responding to the questionnaires regarding controversial issues in particular due to the fact that their responses are anonymous. But they also have drawbacks.Majority of the people who receive questionnaires don't return them and those who do might not be representative of the originally selected sample.(Leedy and Ormrod, 2001)
Web based questionnaires : A new and inevitably growing methodology is the use of Internet based research. This would mean receiving an e-mail on which you would click on an address that would take you to a secure web-site to fill in a questionnaire. This type of research is often quicker and less detailed.Some disadvantages of this method include the exclusion of people who do not have a computer or are unable to access a computer.Also the validity of such surveys are in question as people might be in a hurry to complete it and so might not give accurate responses. (http://www.statcan.ca/english/edu/power/ch2/methods/methods.htm)
Questionnaires often make use of Checklist and rating scales.These devices help simplify and quantify people's behaviors and attitudes.A checklist is a list of behaviors,characteristics,or other entities that te researcher is looking for.Either the researcher or survey participant simply checks whether each item on the list is observed, present or true or vice versa.A rating scale is more useful when a behavior needs to be evaluated on a continuum.They are also known as Likert scales. (Leedy and Ormrod, 2001)
Qualitative data collection methods play an important role in impact evaluation by providing information useful to understand the processes behind observed results and assess changes in people’s perceptions of their well-being.Furthermore qualitative methods can beused to improve the quality of survey-based quantitative evaluations by helping generate evaluation hypothesis; strengthening the design of survey questionnaires and expanding or clarifying quantitative evaluation findings. These methods are characterized by the following attributes:
Regardless of the kinds of data involved,data collection in a qualitative study takes a great deal of time.The researcher needs to record any potentially useful data thououghly,accurately, and systematically,using field notes,sketches,audiotapes,photographs and other suitable means.The data collection methods must observe the ethical principles of research.
The qualitative methods most commonly used in evaluation can be classified in three broad categories:
The following link provides more information on the above three methods.
Different ways of collecting evaluation data are useful for different purposes, and each has advantages and disadvantages. Various factors will influence your choice of a data collection method: the questions you want to investigate, resources available to you, your timeline, and more. (http://dmc.umn.edu/evaluation/data.shtml