What steps need to be taken to check for errors in data and

Question

1. What steps need to be taken to check for errors in data?

2. How do you describe the sample?

3 How do you check statistically for the characteristics of non-respondents?

4 What are properties of the data and assumptions underlying the technique(s) of analysis?

5 What do you do about missing data?

6 What is the purpose of a chi-square test?

7 What is the purpose of a t-test?

8 What is a Pearson product moment correlation?

9 What are correlation matrices, and why do you have them?

10 What are multivariate techniques of analysis? What is the difference in purpose between bivariate and multivariate analyses?

11 What is multiple regression?

12 What is moderated/interaction regression analysis: the ‘when' test?

13 What is mediated regression analysis: the ‘how' test?

14 What is logistic regression, and when is it used?

15 What is discriminant analysis, and when is it used?

Answer 1

Properly answer all the questions illustrated below in APA formatting (Arial Black font with size 12 all along with 1 inch margin from all sides). Q1. What are the steps require to be taken to check for errors in data? Q2. Explain how do you illustrate the sample? Q3. Explain how do you check statistically for the features of non-respondents? Q4. What are the properties of data and suppositions underlying the method(s) of analysis? Q5. Illustrate what do you do regarding missing data? Q6. Explain what is the main aim of the chi-square test? Q7. Determine the main purpose of the t-test? Q8. Determine the Pearson product moment correlation? Q9. Illustrate correlation matrices and explain why do you have them? Q10. What are the multivariate methods of analysis? Describe the difference in purpose between the bivariate and multivariate analyses? Q11. What do you mean by multiple regressions? Q12. What do you mean by moderated or interaction regression analysis: the ‘when' test?