After collecting quantitative data, statistical analysis is a crucial step that enables informed and accurate interpretation and presentation of data in a way that answers research questions and helps draw appropriate inferences. Many individuals struggle with quantitative research because of its reliance on statistics and statistical analyses. Difficulties in undertaking proper statistical analysis diminishes quality in academic dissertations, as the researcher may end up drawing faulty inferences and conclusions from collected data.
Statistical analysis requires mastery of skills in aspects such as types of statistical tests, dependent and independent variables, categorical, ordinal, and interval dependent variables, and hypotheses. In addition, statistical analysis may require proficiency in tools such as SPSS, Stata, and SAS. Most of the aforementioned aspects of statistical analysis may appear insurmountable for many students owing to inexperience and tight schedules. Meanwhile, success in the dissertation or report may require excellent statistical analysis.
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