Statistics - Higher Energy Intake - Case Study Assessment Answer

Statistics - Higher Energy Intake  - Case Study Assessment Answer

Task:

Study - Is weekly exercise time associated with higher energy intake?
This study utilizes the provided data from a cross-sectional study to determine the effect of exercise on an individual’s energy intake. The data has been divided into 4 groups according to exercise per week – daily; once per week; 1-3 times per week; 4-6 times per week – and compared to energy intake values. Descriptive and inferential statistics were used in SPSS software to conduct data analysis and determine whether a relationship exists between exercise and energy intake.

To prevent errors in results, data cleaning of the SPSS dataset was undertaken. Data was checked and corrected for nominal, scale or ordinal measures All variables were adjusted for decimal places and nominal values added as per data dictionary and questionnaire where applicable. A spell- check was completed, and errors corrected. Height in metres squared variable was computed to further allow BMI variable to be added. BMI nominal and scale measure categories were then computed using weight kg and height in metres squared.
Variables pertaining to the study were checked column by column for errors. Negative numerical signs were removed and dealt with simply as data input error. Two errors in height for ID numbers 49 and 55 were noted. Weight variables appeared believable. Energy intake was high in ID 49 at 18389kj and ID 55 at 18070.14kJ/day. It was decided that both ID 49 and 55 would not be included in any analysis as their data contained flaws in height, energy intake, macro/ micronutrient intake and exercise variables, that could possibly influence analysis and could not be trusted. Exercise variables were checked against category values. Several inconsistencies of incorrect values data of 0, 6 and 7 were noted for ID’s 8, 25 and 49, whilst missing data for ID’s 48 and 79. ID’s 6 and 58 had inconsistent anthropometry measurements. It was also decided that the missing data for energy and exercise variables that could not be verified for ID’s 6, 8, 25, 48, 58 and 79, would not be included in analysis to further corrupt any results. This left a core group of 79 subjects. Any further missing or incorrect data would not affect analysis of study.
Descriptive frequency statistics for categorical variables (Appendix A), descriptive statistical analysis for continuous variables (Appendix B), and descriptive explore analysis (Appendix C) were conducted to determine normality various features such as number, mean, standard deviation, interquartile ranges and percentages of study subjects in the demographic and anthropometry data, then reviewed. Kolmogorov-Smirnov (KS) (Appendix D) evidenced data is normally distributed and failure to reject the null hypothesis except for height whose p-value is questionable due to lower bound true significance with the data appearing normally distributed.

Task description:
You have already received a whole class dataset describing dietary, body composition and socio/demographic variables for a student cohort. This dataset was collated by the subject coordinator from individual data collected in Assessment Task 1, Part 1: Data collection submission.
You have analysed this data using descriptive and inferential statistics to answer a chosen research question. This analysis was completed in Assessment Task 1, Part 2: Data cleaning and analysis 
In this assignment you will submit a summary of the study in the form of an academic research poster, such as might be seen at a professional onference. Typically, these posters are presented in a similar format to a journal article, with discrete subsections that include: Introduction, Methods, Results, Discussion and Conclusion. There will be a demographic table to describe the population in the study and graphical representation of the results i.e. graph(s)/figures. While this task has a word equivalency of 1750 words, we expect your poster to have 400 words of text (+/- 10%). The word equivalency is based on the expected workload to produce this poster. To satisfactorily complete this assignment, you will need to:

.Work on the same research question that you used for Assessment Task 1, Part 2: Data cleaning and analysis
·       Undertake background reading appropriate to your research question to build a rationale for the study in the Introduction. You will also compare your results to the published literature in the Discussion sections.
·       Clearly describe the methods of the study
·       Present descriptive and inferential statistical analyses and interpret the results appropriately.

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