Reference no: EM131361299

Imagine a researcher is interested in examining the relationship of self-esteem (ScoreOne) and productivity (ProdOne). The researcher is also interested in the ability to predict the productivity of teachers using years of teaching (Experience) as the predicting variable. Use the teachersurvey.sav data set to conduct the analysis involving ScoreOne, ProdOne, and Experience. Use these data to answer the questions below (these data have already been entered in a SPSS file; see the note below the data table).

Gender (M = male, F = female)	Self-esteem scores	Productivity scores
M	64	25
M	68	28
F	74	36
M	75	38
F	76	34
F	79	36
F	80	40
F	82	41
M	68	22
M	70	38
F	74	39
F	76	34
F	78	38
F	79	37
M	82	45
M	85	46
F	71	30
M	73	34
F	75	33
M	77	36
M	78	38
M	80	42
F	83	46
F	86	49
M	73	37
F	74	38
M	77	32
M	77	35
F	78	36
M	81	45
F	84	49
F	87	48
F	77	36
M	71	33
F	75	34
F	76	36
M	79	38
M	83	48
F	89	48
F	91	49

Download the SPSS data set: teachersurvey.sav. Not all of the variables in that SPSS file will be used for this assignment.   

In this SPSS assignment, use the tools learned in this course thus far, with an emphasis on the tool acquired in Gravetter and Wallnau (2013) chapters 15 and 16 to describe a correlation and regression.

Produce an SPSS output for an analysis of regression examining the impact of participants' years of Experience on their productivity.

a.) What are the null and alternative hypotheses?

b.) What is the effect size? Is it small, medium, or large?

c.) Report the results in APA format.

d.) What can be concluded from these results? Be sure to consider possible study limitations and recommendations for future research.

e.) Given only two variables were examined, how does testing the significance of the regression equation relate to testing the significance of the Pearson correlation?