To capture the right data, it must be well organised and prepared. The variables required in the result must be prepared well in advance for they guide the researcher on how to frame the questionnaire. The questions in it must be clear and simple to avert confusing the respondent. A time frame should set on the duration a respondent should stay with the questionnaire. The mode of its distribution should be established to ensure only the relevant responds receive it.
Another data collection method to be employed will be oral interviews. The interview question should be prepared in advance with reference to the variables required. Good interviewer training is necessary for it prepares him on how to ask the questions and manage the interviewee.
Possible methods of data analysis
A thorough data analysis process is crucial for effective data analysis. This involves data cleaning for there is a possibility for errors. To achieve it, it is good to go through all the primary data sources (the questionnaires and interview materials) and verify their validity. The process will establish missing data. Extreme observations will be established by the same process.
After an effective data cleaning process, the next step should be to determine the sample size. A number of methods can be practical depending on what the investigator will find it most applicable to work with....
Another psychological approach studied the physical basis for emotion. LeDoux (1995, p. 209+) noted, "Scientists concerned with human nature have not been able to reach a consensus about what emotion is and what place emotion should have in a theory of mind and behavior." He proposed, however, that "findings about the neural basis of emotion might also suggest new insights into the functional organization of emotion that were not apparent
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