Statistical Significance of a Study: Development of a Health Model for Older Adults

The article is from the American Journal of Public health and provides surveys, graphs and statistics. The article has multiple authors and they are all in the medical field or professors that work at high prestige Universities like Harvard or Northwestern University.It was last modified on February of 2013.The article is a peer review journal and because of the credentials of the authors it seems reliable and credible

In response to the question set, I will go into detail of the study, consisting of the background, main hypotheses, as well the aims, procedure and results gathered from the study; explaining the four research methods chosen to investigate,

Therefore, they are considering the public’s opinion, and gathering information based on these studies which is unbiased. The quality of the article is very organized. It has subtitles for each section, charts and tables to show statistics, and a conclusion of the studies.

Statistical Techniques. All forms of data collection used in this study were given as self-reported questionnaires (excluding the physical distancing test) then later measured using various statistical techniques. Some of the surveys given were compared to previous statistical research data that served as a comparison of average survey scores. Specifically, in this study,

The analysis of the data was done by employing the following statistical techniques which were chosen only after the investigator found them to be most appropriate and compatible to the data. Each statistical method is based upon its own specific assumptions regarding the nature of the sample, its universe and research conditions. These factors were considered in advance. Following statistical measures were

The data from this research study is clearly expressed, consistent and reflective of the data. There are primary sources cited in the article, and relevant landmark studies were described and used in this

The first phase of this model is the preparation phase. In this phase, it is important to delineate the purpose and potential outcomes of the study. The research is searched, sorted and selected. It is important during this phase

The information is presented in a direct manner, lacking unnecessary information, and written in a style which is easy for a range of readers to understand. They provide a thorough description of the development of the instrument, the norm population used, and an example of the survey, thus enabling the study to be replicated. A table of the frequencies and percentages of respondents’

The measuring of the variables is very difficult task, and selecting the measures of validation demonstrates the ability to ensure that the research will be reliable (Sechrest, 2005). I would think the by displaying the appropriate levels of measurement for variables ensures that the outcome will they will be done correctly (Frankfort-Nachmias & Nachmias, 2008). In addition, the reliable assessment ensures that the researchers' data does select for this study represents the connection with the variables (Frankfort-Nachmias & Nachmias, 2008). In reviewing the process I would say that the correct representation will affect the internal validity of this study (Sechrest, 2005). The purpose of this paper is to explain the levels of measurement

3) A t-value of -1.99, which was the calculated statistic for the Health Functioning measure in this study and corresponds to a study-bound p-value of 0.049, does not indicate a significant difference in these populations. Though the p-value is slightly lower than the study-wide alpha value of 0.05, the division of this value amongst the 15 measures according to the Bonerroni principle that works to reduce Type I errors means each test-specific alpha value is 0.0033. 0.049 > 0.0033, therefore the difference for this

Thus, the choice by Richmond, Merrick, Green, Dinh, & Iedema (2011) to report p-values and confidence values (CI) in establishing the significance of the results assists in enhancing the reliability and validity of the study. Whereas, Tobiano, Chaboyer, & Mcmurray (2012) adopted thematic analysis in data analysis, which facilitated flexibility while maintaining research rigor. The straightforward nature of the thematic analysis also contributes in enhancing the validity of the provided evidence. In the case of Sand-Jecklin & Sherman (2014), the presentation of the findings in terms of means, standard deviation (SD), p-values and degree of freedom (df), coupled with the use of tables in presentation facilitated easier understanding of the values and identification of any trend likely to emerge. The presentation was critical in improving the validity of the findings

An ANOVA for linear regression analysis was performed to test if there were significant differences (see Table 6.1). The results showed that the interaction effect between seven constructs and the total health belief score was significant (f = 19284.073, p = 0.000). In accordance with the detailed correlation coefficients for the seven constructs listed in Table 6.2, the regression equation could be demonstrated as:

It is worth stating that to assess the quality of social science research; four criteria of evaluation can be applied: validity, reliability, comprehensiveness (generalization) and coherence (objectivity) (Hugh 2001:49). These criteria have been found to be more applicable to quantitative. However,

The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings.

The above table 5.1 enumerates that the communalities of the selected 36 variables have good reliability and keenly checked that no one variable has low loading, i.e., less than 0.5. Thus finally, the 26 variables are selected for the factor analysis. The appropriateness of the data for the factor analysis is discussed in the following KMO and Bartletts’ test.