Buy Essay Use of Statistical Procedures in Quantitative Research
Quantitative research involves the use of numerical data and statistical procedures to investigate relationships and patterns in the data. Statistical procedures are an essential component of quantitative research, as they allow researchers to analyze and interpret the data, and draw meaningful conclusions from it.
Consistent statistical procedures are used in quantitative research to analyze the data and identify patterns and relationships. This is not dependent on the researcher and hence eliminates all forms of biases as the process is replicated across other research. The data collected from various secondary sources on South African youth was read and the results were carefully tabulated and then compared with other previous findings (Eaton et al, 2003, 151).
Results of Qualitative Research
The results of qualitative research are comprehensive, very rich in information, and carefully explain the reasons for that particular social behavior. Quantitative research, on the other hand, provides a summary of the patterns of behavior including the similarities, direction, or variability without explaining it, which in turn generalizes the results.
In the Eaton research (2003, 151), it was established that 20 percent of young people use condoms during their sexual encounters with multiple partners while 50 to 60 percent of these young people engage in unprotected sex. The general conclusion was that young South African youth endanger their lives by engaging in unprotected sex.
There are several statistical procedures that are commonly used in quantitative research, including descriptive statistics, inferential statistics, and multivariate analysis.
Descriptive Statistics
Descriptive statistics involve the use of numerical measures to summarize and describe the characteristics of the data. These measures include measures of central tendencies, such as mean, median, and mode, as well as measures of dispersion, such as standard deviation and range. Descriptive statistics can be used to provide a summary of the data, identify outliers, and detect any patterns or trends in the data.
Inferential Statistics,
Inferential statistics involves the use of statistical tests to make inferences about a population based on a sample of data. These tests can be used to determine whether there are significant differences between groups, to test hypotheses, and to make predictions. Some commonly used inferential statistical tests including t-tests, ANOVA, regression analysis, and chi-squared tests.
Multivariate Analysis
The multivariate analysis involves the analysis of multiple variables at once, to investigate the relationships between them. This type of analysis can be used to identify patterns and trends in the data, develop predictive models, and test hypotheses. Multivariate analysis techniques include factor analysis, cluster analysis, and structural equation modeling.
Use of Statistical Procedures in Quantitative Research
The use of statistical procedures in quantitative research is important because it helps to ensure that the research findings are valid, reliable, and meaningful. Statistical procedures allow researchers to analyze large amounts of data efficiently and accurately, and to draw conclusions that are based on sound statistical principles. However, it is important to ensure that the statistical procedures are used appropriately and that the results are interpreted correctly.
Conclusion
The use of statistical procedures in quantitative research is essential for analyzing and interpreting data. Researchers should carefully consider the appropriate statistical procedures for their research questions, and ensure that the procedures are applied rigorously and accurately. By using statistical procedures appropriately, researchers can gain valuable insights into their research questions and make informed decisions based on their findings.
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