COLLECTION, ORGANIZATION AND INTERPRETATION OF DATA

INTERVIEW METHOD

- The researcher makes direct and personal contact with the interviewee through asking series of questions.

QUESTIONNAIRE METHOD

- The researcher distribute the questionnaires either personally or by email and collects them by the same process. However, the researcher cannot expect all the mailed questionnaires to be retrieved, since some respondents might ignore the survey.

REGISTRATION METHOD

- This method of collecting data is governed by our existing laws. The researchers gather data from offices concerned, such as Philippine Statistics Association - (PSA, the Commission of Election (COMELEC) and alike.

EXPERIMENTAL METHOD

- This method of collecting data is used to find out the cause and effect relationship of certain phenomena under controlled conditions. (ex. F-net production).

OBSERVATION METHOD

- The researcher may observe subjects individually or group of individuals to obtain data and information related to the objectives of investigation. (ex. Waiting line)

TEXTING METHOD

- The researcher may ask or invite individuals to send text or opinions on certain issues or send in their choices on their brand preferences on a particular product using their cellphones.

LOTTERY SAMPLING

- This is also known as raffle. Each member of the population is numbered on a piece of paper. The piece of paper shall be identical (equal in size and weight) and rolled evenly. They are placed in a lottery box and shaken very well. The desired number of samples are drawn, one after the other, with eyes away from it.

STRATIFIED SAMPLING

- It obtain samples by dividing the population into strata (groups). If the desired sample is 50 and there are 10 strata, then we obtain the sample proportionately from each stratum. The bigger the strata, the more number of sample are taken.

CLUSTER SAMPLING

- This is sometimes called area sampling because it is used for a large population. We select member of the sample by area; then we select each by lottery sampling.

CONVENIENCE SAPLING

- This is used because it is convenient to the researcher. For example, a researcher may find out which detergent is the most popular among household by making on-line survey. The data is easily be obtained, the accuracy of the data may not be reliable since not all the household have internet connections.

QUOTA SAMPLING

- In this method, the researcher uses the proportions of different strata; and from the strata, selections are done using quota.

PURPOSIVE SAMPLING

- The researcher gets his sample from the respondents purposely related or close to him.