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Data Collection Techniques in Quantitative Research - Coggle Diagram
Data Collection Techniques in Quantitative Research
Questionnaire
Questionnaire used for says method or instrument. There is differences and similarity between questionnaire and interview.
Advantages and Disadvantages of Questionnaires
Advantages
Can be standardized so that all respondents can be given the same statements.
Respondents could think of an answer that would be delivered
Respondents could give answers freely because it cannot be influenced by the mental attitude
Respondents could give answers freely because it cannot be influenced by the mental attitude
The distribution of questionnaire, the researcher’s presence is not mandatory.
Disavantages
Limited use of questionnaires to obtain information that is known by the respondent which cannot be obtained by other techniques
Often difficult to check its validity.
If sent by mail, questionnaires often do not return to the hands of researchers.
Limited questionnaire given to the literate.
Steps in Preparing The Questionnaire
Drafting stage
1) Draw up a matrix of questions will be included in the questionnaire
2) Choose the form of questionnaires
3) Considering the manner of writing
4) Using common words
Pilot stage
1) The questionnaire discuss with other researchers, with the intention of knowing the weaknesses and possible difficulties respondents in providing answers.
2) Tested by a number of elements that are not samples of the study population.
Test
Some types of tests are usually done in research , such as aptitude tests , intelligence tests, achievement tests, etc.
Data collection techniques in quantitative research techniques typically use questionnaires or conduct tests on respondents.
Population, Size and Sampling Technique.
Sample Size
To conduct a study, researchers need to determine the number of members of the population who will be the respondent.
Sampling Technique
There are two kinds of sampling techniques, such as:
Random sampling/Probability sampling.
1) Simple random sampling
2) Systematic random sampling
3) Satisfaction random sampling
4) Simple cluster random sampling
Not random sampling.
Population
Population consists of two kinds, namely the target population and the population affordable.
Population can be either a human, curriculum, management capabilities, the means of teaching, how the administration, leadership, events, and others.