Data collection can be defined as a term which is used to explain the process of preparing and collecting data, such as, a part of a process improvement. The purpose of data collection is to collect important information to keep on record for further use, to make important decisions about different issues, and to pass vital information on to others.
They are collected afresh and for the first time, and thus happens to be original in character. They are the most original data and mostly have not undergone any sort of statistical test. They are those that has already been collected by someone else and which has been already been passed through the statistical process.
They are not pure and have undergone some treatment at least once. After collecting the required data, either from primary or secondary means, the next step leads to edition. Editing is a process by which the data collected is examined to discover any error and mistake before it is presented.
It has to be understood before hand it self to what degree the accuracy is needed and to what extent the errors can be tolerated in the inquiry. The editing of secondary data is much simpler than that of primary data.
As there are many method to collect the data it important that we choose the most appropriate according to the situation provided. So the following factors has to be kept in mind while selecting a particular method: In this method, trained investigators are working as employees for collecting the data.
In this method we have to collect more accurate data and original data. This method is useful for small data collection only not big collection of data projects. This is accurate and very quick process for data collection. But information collected is not accurate and true. Data collecting from the ministry of finance, Agriculture, Industry and etc. These data collection methods are official methods. This methods only used for the focusing groups, and interviews, and electronic mail surveys.
Typical quantitative data gathering strategies include: In Quantitative research survey research ,interviews are more structured than in Qualitative research. In a structured interview,the researcher asks a standard set of questions and nothing more.
Leedy and Ormrod, 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. 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. 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.
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.
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.
Data collection methods can be divided into two categories: secondary methods of data collection and primary methods of data collection. Secondary Data Collection Methods. Secondary data is a type of data that has already been published in books, newspapers, magazines, journals, online portals etc.
Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. The data collection component of research is common to all fields of study including physical and social sciences, . 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.
AND QUALITATIVE DATA COLLECTION METHODS 5. DATA COLLECTION METHODS: SOME TIPS AND COMPARISONS In the previous chapter, we identified two broad types of evaluation data obtained through qualitative research to be more trustworthy and informative. A particular case in point is the use of traditional test results. Phenomenology Methods & Data Collection This module provides an overview of research methods for phenomenological studies and describes means of data collection. Learning Objectives: List and describe .