Skip Nav

Data Collection Methods

Resource Links:

❶Various factors will influence your choice of a data collection method: 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.

Quantitative and Qualitative Data collection methods

Data Collection Techniques
404 - File or directory not found.
Overview Of Different Data Collection Techniques

The following diagram provides an example of a more detailed description of the steps in a phenomenology study. Data analysis will be the focus of the next module in this series. Phenomenological Research Methods — Contains a detailed descriptive of different types of phenomenological research methods. This pin will expire , on Change. This pin never expires. Select an expiration date. About Us Contact Us. Search Community Search Community. List and describe the steps involved in a phenomenology study.

Describe the basic principles applied to phenomenological methodology and data collection. Discuss ways in which phenomenological data can be collected. Summarize tips for conducting an effective interview. Following is a list of principles and qualities applied to phenomenological methodology and data collection: Phenomenology searches for the meaning or essence of an experience rather than measurements or explanations.

Researcher should begin with the practice of Epoche. He or she will describe their own experiences or ideas related to phenomenon to increase their own awareness of their underlying feelings. Phenomenology is different in that the researcher is often participatory and the other participants are co-researchers in many cases.

This type of research focuses on the wholeness of the experience, rather than its individual parts. 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. 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.

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. 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. Listed below are some of the most common data collection techniques. Click the following links to read more about data collection techniques: Click here to see a sample key informant interview. Click here to see a sample survey on middle school youth risk behavior. Site visits to an after-school program to document the interaction between youth and staff within the program.

A group of parents of teenagers in an after-school program are invited to informally discuss programs that might benefit and help their children succeed. Ethnographies, Oral History, and Case Studies. Shadowing a family while recording extensive field notes to study the experience and issues associated with youth who have a parent or guardian that has been deployed. Click here for an example of an oral history.


Main Topics

Privacy Policy

Data collection is a process of collecting information from all the relevant sources to find answers to the research problem, test the hypothesis and evaluate the outcomes. Data collection methods can be divided into two categories: secondary methods of data collection and primary methods of data.

Privacy FAQs

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.

About Our Ads

DATA COLLECTION Research methodology A brief and succinct account on what the techniques for collecting data are, how to apply them, where to Magister “Civilisation: find data of any type, and the way to keep records for language and Cultural an optimal management of cost, time and effort. Studies. Chapter 9-METHODS OF DATA COLLECTION 1. METHODS OF DATA COLLECTION 2. What is data collection? The process by which the researcher collects the information needed to answer the research .

Cookie Info

It is also worth remembering at this stage that all methods of data collection can supply quantitative data (numbers and statistics) or qualitative data (usually words or text). You have, however, selected from the two main traditions of approaching a research topic – quantitative and qualitative. Overview Of Different Data Collection Techniques Responses can be analyzed with quantitative methods by assigning numerical values to Likert-type scales; Consists of examining existing data in the form of databases, meeting minutes, reports, attendance logs, financial records, newsletters, etc.