Statistically Significant Results
One of the most important aspects of research findings is to ensure that the results are significant or meaningful in order to influence an appropriate course of action. In this case, the significance of the findings of a study can be described as the quality of being important. Therefore, the efforts carried out by a researcher or group of researchers should be geared towards ensuring the process generates important findings. However, there have been numerous concerns regarding the statistical significance and/or practical significance of the findings of a study. These concerns are attributed to the fact that the findings of a study can be statistically significant but not meaningful.
Statistically significant findings of a study basically predict the probability that a relationship observed in the data was a by-product of chance and the likelihood that the variables are actually unrelated. In this case, the research tests attempt to generate evidence that a null hypothesis can be rejected. Consequently, there is likelihood for finding a difference between groups even in the absence of such difference or concluding that a difference does not exist when it actually does. Generally, statistically significant findings demonstrate a benchmark that is easily understood by many...
Statistical Significance and Meaningfulness Scenario Critically evaluate the sample size To begin with, sample size is very significant. In this particular scenario, the sample size is much more 30, and therefore considered to be a large sample size. Owing to the large sample size, it is expected that the sampling error will be small. And, a small sampling error results in a significant test, in most cases. This is similar to the results
Meaningfulness refers to the practical, real world application of a statistic. If a statistically significant correlation between variables, for instance, has meaningfulness that correlation says something to the real world and understanding that correlation can have an impact on how people adjust to the situation from here on out. Therefore, while statistical significance is helpful, it is not the end-all-be-all for research: a research finding has to be meaningful
Statistical Analysis Reported in Two Journal Articles Research endeavors, albeit it clinical, empirical, descriptive, historical, or case study oriented, must at all times adhere to the rigors of effective or best-fit research practice. Without stringent controls placed on the area of investigation no research endeavor will advance any body of knowledge. To this end all research must be finely tuned and described as to intent or purpose, phenomenon to be
Nhst Compare and Contrast Null Hypothesis Significance Testing (NHST) The most commonly used statistical technique for testing the impact of the factor being discussed on observations is Null Hypothesis Significance Testing (NHST). Consequently, NHST is the famous approach to inferential statistics, especially when conducting quantitative research. Despite being the dominant approach, NHST has also become increasingly controversial given the belief by a considerable number of people that it is a flawed
RepliesJosephAs I read your post I was reminded of a verse from the book of Proverbs that says, "The simple believe anything, but the prudent give thought to their steps" (Proverbs 14:15, NIV). This verse emphasizes the importance of carefully considering our actions and decisions, rather than blindly following what others say or do.Similarly, when conducting research, it is crucial to carefully consider which approach will best suit the project's
Clinical Psychology Dissertation - Dream Content as a Therapeutic Approach: Ego Gratification vs. Repressed Feelings An Abstract of a Dissertation Dream Content as a Therapeutic Approach: Ego Gratification vs. Repressed Feelings This study sets out to determine how dreams can be used in a therapeutic environment to discuss feelings from a dream, and how the therapist should engage the patient to discuss them to reveal the relevance of those feelings, in their present,
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