learners were prompted to infer their self-assessments from explanation-based cues (ability to explain the problems’ solutions) or from performance-based cues (problem-solving performance) and on whether learners were informed about the to-be-monitored cue before or only after the problem-solving ...
I have a dataset, where I am trying to calculate rolling correlations. This is the problem: While calculating rolling (window_size=100) correlations between two columns (a and b): some indices (one such index is 12981) give near 0 values (of order 1e-10), but it should ...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
What is the Correlation Coefficient? Since this is not a statistics class, let me briefly explain what is the correlation coefficient, and then we’ll move on to the section where we calculate the correlation coefficient in Excel. A correlation coefficient is a value that tells you how closely...
Step 1:Define your goals and the question you need to answer Step 2:Determine how to measure set goals Step 3:Collect your data Step 4:Clean the data Step 5:Analyze your data Step 6:Visualize and interpret results Define Your Goals and the Question You Need to Answer ...
The math’s a bit tricky (which is why I defected from psychology), but a statistical analysis tool can help you find the correlations between your questions. Once you’ve started conducting the Likert scale questionnaire, run another item analysis to ensure the scale is consistent. What to ...
How to write it: Start by summarizing your key findings and discussing whether they support your initial hypotheses or research questions. Explain how your results fit within the context of the existing literature. Discuss the practical or theoretical implications of your findings. ...
Correlation analysis determines the strength of the relationship between variables. For example, a local ice cream shop may determine that as the temperature in the area rises, so do ice cream sales. Predictive analysis: What is likely to happen? Predictive analysis aims to anticipate future deve...
The coefficient of determination is a measurement that's used to explain how much the variability of one factor is caused by its relationship to another factor. This correlation is represented as a value between 0.0 and 1.0 or 0% to 100%. ...
R-squared is a statistical measure that uses the variance of one variable to explain the variance of another. Further testing is required to determine if R-squared approaching +/- 1 is statistically significant. Variables must be independent and their relationship must be linear for correlation to...