Why do we need to conduct a correlational study?

Example 2

What roles do the three assumptions play in a correlational study?

Example 3

Based on your own opinions, what are top three concepts of correlational research we should keep in mind?

2.      What is scatterplot? Why it is important in correlation?

3.      When should you use the five difference of associational statistics?

4.      Please define the different between Skewness, positive skew and negative skew?

5.      What are the key assumptions and conditions that must be met to ensure the valid use of Pearson's correlation (r) and bivariate linear regression?

6.      Who would be the target population for your research study, and how would you recruit participants?

Part 2. What is meant by Correlation Coefficients?

Part 3. How to check normality?

Part 4. How to interpret correlation?

Part 5. How to create a scatterplot in SPSS?

Part 6. What are some key terms relating to correlation?

Part 1: When to use Spearman or Pearson Correlation?

Part 2: What kinds of scale of measurement required to compute positive or negative skewed distribution?

Part 3: Does skewness have its min and Mex? What about Std. Errors?

Part 4: What are ways to interpret correlation?

Part 5: What is degree of freedom? How to assess it?

Part 6: How to interpret regression line?

2. What are the different between position skew and negative skew?

3. How do we use skewness date in SPSS?

4. How can we recognize positive correction, negative correction, and non-correction?

5. What are the different between liner and outliner?

6. What are cumbersome and bivariate outliers?

   
   

1. What is the main objective of correlation research?

2. Why Pearson correlation is popular to compute associational statistic?

3. What differences between correlation matrix and bivariate correlation?

4. Which one does the researcher prefer among high negative, high positive or zero correlation?

5. Is it the outliers affect anything in the research?

6. Why the concept of Cumbersome to create in SPSS is a helpful visual?

1. What are the key concepts of correlation research?

2. What are the types of correlation methods that we can conduct the research?

3. What is the difference between the Pearson correlation and the Spearman correlation?

4. How can we clearly understand about normality of the data?

5. How scatterplots represents Pearson correlation?

6. What is the relationship between the Normality of variables and Skewness?

1.     When do we use spearmen rho and correlation matrix?

2.    Why we use the word positive extreme or positive skew to describe while most students have low motivation or low score? 

3.    How do we interpret the result? Bases on statistic in the video the (-2.49) is not mentioned but we interpret if the skewness is below or above -1 +1, the data is approximately normal skew. Is the -1 and +1 minimum and maximum range formular we use to calculate?

4.    What does it mean by no correlation of the data?

5.    Is there any effect on the result of the research if we remove a pretty big amount of the outliers. For instant, among the 10 student, 6 students get high scores 8 and 9, but 4 students get zero scores.

6.    What does it mean by none linear relationship?

2. What are the differences between Pearson and Spearman theory?

3. How do we know if the output data in getting skewness in SPSS is correct or wrong? And whether the data is skewed or not, which theory should we follow based on the output data?

4. Beside positive, negative, and zero correlations, are there any other type of correlation? And if there are, what are their role in this type of research?

5. What is the appropriate sample size in doing research involving Pearson Correlation? And what could happen if the sample size is too small?

6. If there are outliers, should we remove them from the data or keep them in? And how do they affect the results of the correlation?