What is Randomized Control Trial? It is a study design where the participants of the study are randomly assigned in one of the two groups, experimental or control group. As the study progresses, the only difference between the experimental and control group is the outcome variable that is of interest (or which is being studies). What are the Advantages of Randomized Control Trial Study Design? The advantages of randomized control […]
Meta Analysis is a systematic way to combine the findings (both Qualitative and Quantitative) from several selected studies to arrive at a single conclusion that has greater statistical power. Meta-Analysis is a type of systematic review (which answers the research questions by collecting and summarizing all empirical findings that are selected basis pre-specified criteria. The conclusion based on meta-analysis is statistically stronger than that from each of the individual studies. […]
Supervised Learning and Unsupervised Learning are two of the most widely used machine learning methods. However, there are other methods as well and in this article we are going to discuss about some other popular machine learning methods. Supervised Learning: As the name suggests, there is some sort of supervision involved in this set of machine learning algorithms. Here, the algorithm is trained using labeled data. For example, consider a […]
Cronbach’s alpha measures the internal consistency of a set of items. In other words, it measures how closeness of a set of items within a group. It is considered as a measure of scale reliability. If you want to test the unidimensionality of a measure, a ‘high’ value of cronbach’s alpha is not sufficient. In order to provide strong evidence that the scale or measure that we are testing is […]
Time Series is an ordered sequence of values of a variable at equally spaced time intervals. The analysis of time series data using different statistical techniques is called as time series analysis. There are primarily two uses of time series analysis: To obtain an understanding of the underlying forces and structure that produced the observed data. Fit a model and proceed to forecasting, monitoring or even feed-back and feed-forward control. […]
