Discussion Replies

Week 4:

Research Question:

1.    Will sexually transmitted infections (STIs) education increase knowledge and disease prevention practices for young adults ages 18-24 years after discussion and at four weeks of follow-up?One cannot emphasise enough how the post greatly indicates identifying the dependent variables and their relation with the independent variables. Their incorporation into the research indicates the effectiveness of the education endeavour and follow-up to the specified age group. Additionally, the level of measurement used in the study fits the variable relationship. A bivariate correlation analysis validates the data compiled from the study by measuring the magnitude of the linear relationships between the presented variables (University, 2022). Moreover, the statistical association and degree of association between the variables (dependent and independent) help determine the research results conclusively. Using a Chi-square test as a level of measurement also fits the research (Utah, 2022). The rationale is that it determines individual relationships among the variables (age, gender and ethnicity) and then produces STD-KQ scores to compare variations in the magnitude of nominal-level variables.

References

University, K. (2022). LibGuides: SPSS Tutorials: Pearson Correlation. Libguides.library.kent.edu. https://libguides.library.kent.edu/spss/pearsoncorr#:~:text=You%20can%20use%20a%20bivariate,and%20direction%20of%20the%20association.

Utah, U. (2022). Chi-Square - Sociology 3112 - Department of Sociology - The University of utah. Soc.utah.edu. https://soc.utah.edu/sociology3112/chi-square.php.

Research question:

Do patients undergoing joint replacement surgery who also have an HbA1c greater than or equal to 7.0 experience SSI more frequently than patients undergoing joint replacement surgery with an HbA1C less than 7?The post is well defined, specifically on the measurement style used to develop conclusive data. The ratio measurement indicates the relationship between different levels of HbA1C and the rate of SSI occurrence. This is a crucial step in that one can determine the type of statistical analysis to be carried out by the researcher. Thus, the measurement style affects the depth of insights and nature in correlation with the developed data (Fischer et al., 2022). Additionally, the ratio scale offers novel statistical analysis opportunities to satisfy all levels of measurement and includes apresence of zero as a starting point (Fischer et al., 2022). Variables on this scale are combined, deducted, multiplied, and divided in an organized manner (ratio) to compute all statistical analyses such as mean, mode, and median.

References

Fischer, R., Karl, J., & Luczak-Roesch, M. (2022). Why equivalence and invariance are both different and essential for scientific studies of culture: A discussion of mapping processes and theoretical implications. https://doi.org/10.31234/osf.io/fst9k