Throughout the studies, a number of investigators implemented thorough and practical approaches to determine reproductive outcomes following an abortion. Since a majority of the studies are longitudinal and based on factual, reproductive and obstetric data and history, the information obtained regarding the women participants is straightforward and clear. This allows it to be easily measured, coded, and compared with other variables to identify potential correlations. In addition, this also decreases (or eliminates) the researchers individual interpretation and potential bias throughout the studies since the fixed data is being utilized. In analyzing the data, a number of the statistical analysis procedures employed throughout the research include the following:
● Logistic regression: used to measure dichotomy among dependent variables and continuous independent variables
● Multiple linear regression model: examines linear correlations
● Chi-square analysis: compares variables and categorizes data As the statistical measures allows researchers to identify patterns and trends among the data, the relationships and associations among the women participants are identified which then leads to better understanding and identification of potential increased risks adverse outcomes among women …show more content…
Therefore, there are vast differences in the variables and risks being measured which ultimately leads to inconsistent findings throughout research studies. In addition to this, the findings among the studies are ultimately incohesive while some are comparable and others are not. Also, although some of the data among the studies show the presence of correlations following statistical analysis, prior knowledge from a number of academic fields of study have established that correlation does not indicate