Randomized Control Trial

Randomized Control Trial

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

Meta Analysis

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. […]

Replication-based Dissertations

Replication-based Dissertations

Majority of the quantitative research studies that are undertaken by academician and scholars will be one of three types, which we refer to as duplication, generalization or extension. Duplication research studies take some published research and then repeat it under identical scenario and check if the results obtained are same as in the original research study. In some cases the researcher might just use the original data and reanalyze to […]

Linear Regression Analysis

Linear Regression Analysis

The term multiple regression (linear regression analysis with more than one variable) was first used by Pearson in 1908.¬†Multiple regression is a statistical technique that help us in understanding about the relationship between several independent or predictor variables and a dependent variable (also called criterion variable). Let us take an example to understand this in some detail. Suppose that you are a researcher and you record data of 1000 MBA […]

Comparing CHAID, CARD, and QUEST Algorithms for Building Decision Trees

Comparing CHAID, CARD, and QUEST Algorithms for Building Decision Trees

Decision tree is a popular machine learning technique that is used to solve classification and regression problems.¬† The three most popular algorithm choices that are available when you are running a decision tree are QUEST, CHAID, and CART. When you are working on a classification problem (dealing with categorical dependent variable), any of the three algorithms can be used. Though QUEST algorithm is generally faster compared to the other two […]