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Determining the Population and the Sample: In most quantitative studies, the researcher selects a sample and analyzes it, then generalizes the results to the population. The sample should be representative and non-biased therefore an appropriate sampling technique ought to be applied and justified in the methodology.
Determining the Instrument to be Used: A survey is the most common method of collection numerical data from the respondents. The researcher should always justify the selection of the instrument. It involves the administration of a structured questionnaire to the participants to collect required information. The administration of questionnaires may be in person, through email, or through an online service such as SurveyMonkey.
Determining the Data Analysis Methods to be Used: Quantitative research normally makes use of descriptive or inferential statistics. Descriptive statistics includes frequencies, measures of central tendency, and measures of dispersion. These statistics are used to characterize the sample. Inferential statistics includes correlation, regression, and analysis of variance; these statistics are used to draw conclusions about the general population. The computer software to be used in doing the analysis is a factor to be considered. We normally carry out 3 kinds of analysis based on the application chosen by the customer: Excel Analysis, SPSS data analysis, and SAS data analysis. We allow the customer to specify which statistics or computer application they want us to use for their quantitative research. But if the customer is not sure, our expert analysts will advise accordingly. The statistical test which we normally conduct depending on the research questions or hypotheses, and the number of dependent, independent, and control variables are: t-test, analysis of variance, analysis of variance, analysis of covariance, Mann-Whitney U test, Chi-square test, Person product moment correlation, multiple regression, Spearman rank-order correlation, among others.
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