Statistical significance refers to a statistic being reliable; it does not mean that the data gathered would certainly have any decision making utility. It allows the researcher to compute the level of strength of the relationship between two or more variables. For instance, the extent of the significance of a relationship can be evaluated using statistical significance analysis. The statistical tests help provide the “p-value” that represents the probability of a random chance to explain the findings. In most cases, values less than 5% are considered to be statistically significant.
The concept of statistical significance can be understood using the following ...
Statistical Significance College Essays Samples For Students
8 samples of this type
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Psychology
Introduction
The use of Null Hypothesis Significance Testing as a statistical tool for research methods in psychology became a center of debate because of the perceived errors, which was associated to the misuse of the method and erroneous conclusion in some of the published scholarly journals. Many scholarly journal publishers particularly those that are specialized in the field social psychology suggests to ban the use of NHST and the Basic and Applied Social Psychology (BASP) acted upon on this call. On the other hand, proponents of NHST argue that the problem is not with the technique, but with the ...
Question 1
The objective of the study by Messina Daniel, Scotti Dennis, Ganey, Rodney and Zipp Pinto was to assess the relationship between patient admission and satisfaction in both teaching and non-teaching hospitals. It was to answer the questions whether patients’ satisfaction differ in teaching and nonteaching hospital and how the satisfaction is influenced by admissions. Consequently, the most important statistical technique used in answering this question was Spearman correlation analysis. However, other statistical techniques that include descriptive statistics, test of normality, and hypothesis testing were employed to help in better understanding of the results.
The study established that there ...
2001 and 2005 Database for Virginia Hospitals
2001 and 2005 Database for Virginia Hospitals
Statistical tests conducted examined changes in 11 variables for the years 2001-2005 occurred in Virginia’s hospitals. The observations were made with the help of t-test of paired two samples for means. A t-test statistical significance indicates whether the difference between average values of the two groups reflects a difference in the populations from which the two samples were taken. A conclusion about statistical significance is made on the basement of the sample size, the size of the difference between average values of the ...
Literature Review
A literature review is a critical part of any research. Bernard (2000) emphasizes that neglecting this part can lead to a “wasting a lot of time going over already covered ground, and having your colleagues ignore your work because you didn't do your homework (p.87).” Hofstee (2006) provide a guide on how to complete a dissertation on time and this document identifies six items that he considers the main purposes of the literature review. These are general purposes of literature review which pertains to (a) credentials; (b) theory base; (c) context; (d) significance; and (e) originality. Further in this section is a brief discussion of how literature ...
Results/ Data Analysis
1. Were the analysis undertaken to address each research question and hypothesis?
The analyses were adequately done to address all the hypotheses in the study. Four hypotheses are guiding the study (Annesi and Mareno, 2015):
2. Were the appropriate statistical methods, given the level of measurement of variables, the number of groups being compared, and assumptions of the statistical test?
Appropriate statistical methods were used for the analysis of the data gathered during the study. First, regression analysis was used to assess the prediction of emotional eating by body satisfaction at baseline. A multiple regression analysis was also ...
This essay concentrates on ways of analyzing quantitative and qualitative data. On one hand, there are two primary ways of analyzing qualitative information. First, the researcher can explore their findings with a pre-determined study framework that reflects the aims and objectives of the study. This method allows the researcher to concentrate on particular response descriptions and ignores the rest. The second approach is the thematic network analysis. This approach requires that the researcher codes all data and allow for quantitative interpretations (Abeyasekera, 2006).
However, there exist numerous ways of analyzing quantitative data. Some of them are as follows. First, ...
Introduction
The study intended to compare the academic performance of male students and female students. The variable for measuring performance was the GPA of individual students. Therefore, the study sought to compare the GPA of male students and the GPA of female students. The study used a sample instead of the population. Population refers to all elements that are of interest to the researcher whereas a sample is a sub-section of the population. In this case, there were two populations of interest to the researcher. The two populations were all male students in the school and all female students in the school.A sample ...