The article by Godfrey et al. (2013), examines the difference between physical health indicators and health behaviors in individuals with and without posttraumatic stress disorder (PTSD). The authors primarily use multivariate analysis of variance (MANOVA) to determine the differences between the investigated research issues. MNOVA was the main statistical analysis tool selected by the authors to analyses and interpret the results of the findings.
The choice of MANOVA as the main statistical analysis tool was based on several factors. The MANOVA is a type of multivariate analysis that is used to assess and analyze data with one or more dependent variables ( Warne, 2014). The research study considered more than one variable. Thus it was appropriate for the authors to use MANOVA as a proper statistical analysis tool. The MONOVA was also used to enable the researchers in testing the hypothesis about the effect of the independent variables on the dependent variables.
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The test was most appropriate as it enables the authors to determine the relationship between the independent and dependent variables included in the study sample. In essence, it was necessary for testing the differences between the samples groups involved in the study. The study has a comparison group, and the experimental group made up of 25 individuals each ( Godfrey et al., 2013) . The appropriateness of the method can also be explained by its ability to determine the p-values for both the sample group and thus justify the results. The use of MANOVA also provides detailed information that can also be used to test the validity and reliability of the results ( Warne, 2014) . Testing the hypothesis of the results can also be ascertained by using MONOVA. Essentially, it makes it unnecessary for the researchers to use other statistical analysis techniques to test the hypothesis and validity of the result of the study.
The authors of the article displayed the result in tables. Typically, three tables were used to display the results of the research study. Table 1 in the article indicated the socio-demographic characteristics of the participants included in the study. The second table presented the results of MANOVA, means, and standard deviation ( Godfrey et al., 2013) . The last table shows group differences in eating behavior and diet content. The use of tables to display the results and findings of the study is considered as appropriate since it is easy to read and interpret. Also, a table offers a unique and straightforward way to display the findings of a given statistical analysis as well as make it easy for all the individuals to read and understand the problem under investigation.
The result table for the MANOVA is a standalone table. This implies that it is possible to interpret the study from the provided table. The MANOVA table has various columns with different variables, such as physical health indicators and health behaviors. The table contains all the measures for the control group, p-value, control group, and total population ( Warne, 2014) . Since the table provides various measurement regarding the independent and dependent variables included in the study, the researchers can make an informed decision regarding the significance of the results. For example, the readers of the article can be able to identify the number of participants included in the study such as 25 partici0pants had PTSD and the remaining 55 respondents without PTSD who served as a comparison group ( Godfrey et al., 2013) . It also shows the age and gender of the participants included in the study. This indicates that the table can provide valuable information regarding the demographic characteristics of the participants.
References
Godfrey, K. M., Lindamer, L. A., Mostoufi, S., & Afari, N. (2013). Posttraumatic stress disorder and health: a preliminary study of group differences in health and health behaviors. Annals of general psychiatry , 12 (1), 30.
Warne, R. T. (2014). A Primer on Multivariate Analysis of Variance (MANOVA) for Behavioral Scientists. Practical Assessment, Research & Evaluation , 19 .
