In other words: are you looking at a research worthy problem? The fact is, a well-defined, precise, and goal-centric research problem will keep your researchers, stakeholders, and business-focused and your results actionable. And when it works well, it's a powerful tool to identify practical...
At the same time, the behavioral and social sciences have faced a substantial turmoil questioning the reproducibility of research findings and the way how researchers should perform research. In the present chapter, we provide guidance on possible ways how PhD students can make sense of this ...
It can be hard to find the perfect sample size for statistically sound results. Here we reveal methods and tools for effective sample size determination.
Aranked variableis an ordinal variable; a variable where every data point can be put in order (1st, 2nd, 3rd, etc.). Ratio variables: similar to interval variables, but has a meaningful zero. Less Common Types of Variables Types of Variables: References ...
research questionsThis chapter takes a practical and case-based approach to discuss the key issues, strategies and practices in identifying research questions. The discussion is meant to reflect what one considers as examples of good practice and to demonstrate that identifying a research question is ...
Below I will discuss this problem in some detail, and provide a basic R-tutorial on how to identify communities of items in networks. You can find the data and syntax I use for this tutorialhere— feedback is very welcome in the comments section below. ...
How many sales contacts do employees talk to, and are they the right contacts?You can use CRM data to identify the number of contacts employees have by contact role to determine if sales employees are connecting with the right people.
These surveys typically include many questions that make ideal variables in a correlation analysis. Below is the process our online survey agency follows to measure correlation. Step 1. Write the survey The first step in running a correlation analysis in market research is designing the surve...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
demographic data is collected to build a customer base profile. The common variables gathered in demographic research include age, sex, income level, race, employment, location, homeownership, and level of education. Demographical information makes certain generalizations about groups to identify customers...