Graphical Descriptive Statistics Research Paper

Graphical Descriptive Statistics
Graphical Descriptive Statistics

Graphical Descriptive Statistics

Order Instructions:

Analyze the use and graphical representation of statistics reported in a published study on a public health topic

Produce appropriate numerical and graphical descriptive statistics for both categorical and continuous variables using SPSS

Interpret different descriptive statistics outputs, including what distribution they may reflect.

For this week’s Discussion, select two journal articles and analyze how the researchers used graphical descriptive statistics to communicate their findings. Also, look closely at the relationship between levels of measurement and types of graphical descriptions presented.

Brief summary of the two articles you selected. Then, describe the types of graphical descriptive statistics used in these articles. Finally, analyze how the level of measurement and the distribution of the data influenced the type of graphical descriptions presented. Be sure to use APA style when referencing your articles in your posting.

Article “A” Engebretsen, I., Tylleskär, T., Wamani, H., Karamagi, C., & Tumwine, J. (2008). Determinants of infant growth in Eastern Uganda: a community-based cross-sectional study. BMC Public Health, 8, 418–429.

Article “B” Riccardo, F., Khader, A., & Sabatinelli, G. (2011). Low infant mortality among Palestine refugees despite the odds. Bulletin of the World Health Organization, 89(4), 304–311.

SAMPLE ANSWER

Graphical Descriptive Statistics

Some of the two articles that have used descriptive statistics in reaching a conclusion are from Riccardo et al., (2011) and Engebretsen et al., (2008). The publication by Riccardo et al., (2011) was an infant mortality survey, which revealed that high quality perinatal and maternal services should be improved in Palestine. Similarly Engebretsen et al., (2008) examined child morbidity and mortality in sub-Saharan Africa, which revealed that poor household wealth, gender, family size, and age were associated with growth among Ugandan infants. This paper analyzes how the aforementioned publication used descriptive statistics to communicate their ideas.

To begin with, Riccardo et al., (2011) used bar charts, a pie chart, and line graphs to communicate his ideas. For the pie chart, the independent variable was the causes of infant deaths among Palestine refugees (ordinal type of measurement) while the independent variable was the frequency of occurrence (scale type of measurement). For the line graph, the independent variable was years (nominal type of measurement) while the dependent variable was the infant mortality rate (scale type of measurement). For the bar graphs, scale types of measurement acted as the dependent variables while nominal type of measurement acted as the independent variables.

The main graph used by Engebretsen et al., (2008) was a box plot. This owes to the reality that the box plot was meant to identify any outliers of the data used. Descriptive statistics such as the mean and variance were also used in analyzing the data. For instance, the variance was used to check the deviation of the observed variables from the mean. Ultimately, the mean was also used to compare the anthropometric indices according to sex.

References

Engebresten, S, M, I., Tylleskar, T., Wamani, H., Karamagi, C., Tumwine, K. J. (2008).

Determinants of Infant Growth in Eastern Uganda: A community Based Cross-Sectional

Study. BMC Public Health. 8: 418

Riccardo, F., Khader, A., Sabatinelli, G. (2011). Low infant Mortality among Palestine refugees

Despite the Odds.  Bulletin of the World Health Organization 2011; 89: 304-311

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