Search results
6 mar 2023 · Researchers should study types of variables before determining statistical tests to obtain relevant measures and valid study results. There is a recommendation to consult a statistician to ensure appropriate usage of the statistical design based on the variables and that the assumptions are upheld.
Key Message: This article explains the following concepts: Independent variables, dependent variables, confounding variables, operationalization of variables, and construction of hypotheses. In any body of research, the subject of study requires to be described and understood.
An abstract or summary should clearly outline the hypothesis or research question/s, aims and objectives of the study (Polit and Hungler 2013; Nieswiadomy 2012). A hypothesis is a statement of a predicted relationship between the variables under study (Polit and Hungler 2013).
Quantitative research examines associations between research variables as measured through numerical analysis, where study effects (outcomes) are analyzed using statistical techniques.
The document discusses different types of variables in research including independent and dependent variables, research variables, demographic variables, and extraneous variables.
1 cze 2018 · Mediation statistical models help clarify the relationship between independent predictor variables and dependent outcomes of interest by assessing the impact of third variables.
Conclusions. Regression analysis is a powerful and useful statistical procedure with many implications for nursing research. It enables researchers to describe, predict and estimate the relationships and draw plausible conclusions about the interrelated variables in relation to any studied phenomena.
