." Where the data consists of numerical things like number of cows that give birth to bulls in a region, the answer may be straightforward. But where there is interaction between the chosen variables, especially where the humans are involved as a variable unlike inanimate objects like gases or salt will not produce the same linear results that could be expected from a scientific experiment as in physics for example. In

Statistical Analysis Reported in Two Journal Articles Research endeavors, albeit it clinical, empirical, descriptive, historical, or case study oriented, must at all times adhere to the rigors of effective or best-fit research practice. Without stringent controls placed on the area of investigation no research endeavor will advance any body of knowledge. To this end all research must be finely tuned and described as to intent or purpose, phenomenon to be

The time-constant covariates influence the latent variable while the time-varying predictor variables influence the independent variable. In estimation of the model the start was with a 'one-class' model with progressive adding of classes and comparison of models through use of the "Bayesian Information criterion (BIC) which compared the "expected cell frequency counts with actual cell frequency counts found in the sample data." (Ibid) Stated is that improvements in model

social science research are qualitative and quantitative research methods. Qualitative research is believed to operate from a subjective, constructionist view of reality, whereas quantitative research operates from an objective, positivist viewpoint of the world. There has been quite a bit of debate over the merits of each of these approaches, often with one paradigm belittling the assumptions of the other. The current literature review explores the philosophical foundations of

Wilde, M. et al. (2015). Self-management intervention for long-Term indwelling urinary catheter users. Nursing Research, 64(1): 24-34. The method employed in this quantitative study is the random clinical trial and the research tradition was congruent with the methods used to collect and analyze the data: the researchers collected data during face-to-face home interviews and follow-up phone interviews with more than 200 participants involved over a 12-month period; and analysis was generated

Sundborg et al. (2012) conducted a quantitative study, which examined the preparedness of nurses to provide care for women who are exposed to intimate partner violence (p.1). The study was carried out on the premise that intimate partner violence (IPV) has significant effect on women's health. Therefore, nurses need adequate preparations to identify such victims and provide suitable interventions. While the study provides significant insights relating to nurses' preparedness in