Assignment 2: RA 2: Effective Consulting Research Methods Report

Good evening class,

As promised here are the outputs for the data set for RA-2. I have copied and pasted the SPSS analysis. Please note, it is up to you to interpret the results and write them according to APA format. However, I will give you some tips about the how the analysis was completed and the results.

Multiple regression is a statistical analysis that compares how independent variables affect the dependent variable. In this scenario, I chose emotional intelligence as the dependent variable. The independent variables are years of education, work experience, and months of coaching. We do not have a lot of information, but we will assume that the parties involved believe that higher emotional intelligence predicts better leaders. Check out the research. I have also attached the link to http://www.galileo.usg.edu/ . The password is feast. So I entered the data into SPSS. n=10 which is a small data set.

The first test I ran was frequencies.

Statistics
	YrsExperience	EducationLevel	MosInCoaching	EIScore
N	Valid	10	10	10	10
	Missing	0	0	0	0
Mean	12.1000	1.9000	6.9000	81.0000
Std. Error of Mean	1.82239	.23333	.67412	4.20846
Median	11.5000	2.0000	8.0000	86.5000
Mode	21.00	2.00	8.00a	88.00
Std. Deviation	5.76291	.73786	2.13177	13.30831
Variance	33.211	.544	4.544	177.111
Range	16.00	2.00	5.00	41.00
Sum	121.00	19.00	69.00	810.00
a. Multiple modes exist. The smallest value is shown

I ran a hierarchical multiple regression tests. It depicts the following results. I also ran the test backwards with similar or identical results. For the sake of simplicity, I will attach the most relevant results. I have the full tests results however, they are 28 pages long. I have also attached a couple of links that may help you (quickly) interpret the data.

https://www.moresteam.com/toolbox/regression-analysis.cfm

http://www.biddle.com/documents/bcg_comp_chapter4.pdf

Please note that everyone may run tests differently. Sample size has an profound effect on your results. The larger the sample size the better we can make predictions. Unfortunately, we have a small sample size with which to interpret our results. As you can see from the following outputs, years of experience and education level is your best predictor of emotional intelligence. Ironically, months of coaching was correlated with less emotional intelligence. This can indicate several propositions. These tests were also ran as one-tailed tests with a 95% confidence interval. One, the test was ran incorrectly (although I ran it several times, different ways) and is flawed. In essence, no test is 100% perfect. 2nd is that the coaching that these participants were exposed to was flawed, and 3rd perhaps the coaching was engineered to reduce emotional intelligence. All correlations were negative. Overall, there were no exciting significance factors. However, the research does not fully corroborate these findings.

Regardless, I wish everyone luck. As I have said in my email, this is a statistics problem. Use your APA manuals. However, if you have had no exposure to stats and have difficulty doing algebra, this may be a difficult assignment for you. Good luck!

Descriptive Statistics
	Mean	Std. Deviation	N
EIScore	81.0000	13.30831	10
EducationLevel	1.9000	.73786	10
YrsExperience	12.1000	5.76291	10
MosInCoaching	6.9000	2.13177	10

Correlations
	EIScore	EducationLevel	YrsExperience	MosInCoaching
Pearson Correlation	EIScore	1.000	-.475	-.374	-.513
	EducationLevel	-.475	1.000	.525	.487
	YrsExperience	-.374	.525	1.000	.706
	MosInCoaching	-.513	.487	.706	1.000
Sig. (1-tailed)	EIScore	.	.083	.144	.065
	EducationLevel	.083	.	.060	.077
	YrsExperience	.144	.060	.	.011
	MosInCoaching	.065	.077	.011	.
N	EIScore	10	10	10	10
	EducationLevel	10	10	10	10
	YrsExperience	10	10	10	10
	MosInCoaching	10	10	10	10