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Summary

Prog AVG

bar_chrt

Written

QC_Chrt

2-WayAnova

MeansPlot

Mult_Regression

C_Matrix

1-Way_NPAR

2-wayData

MReg_data

SURVEY QUESTIONS

Avaya (APAC)

Avaya (EMEA)

BMS

BMS

BMS

Boston Scientific (N. America)

Boston Scientific (N. America)

Fifth Third

Fifth Third

Fifth Third

Flextronics

Flextronics

Honeywell

Honeywell

Honeywell

Office Depot

State of Florida (Jacksonville)

State of Florida (Jacksonville)

State of Florida (Tallahassee)

State of Florida (Tallahassee)

State of Texas

State of Texas

State of Texas

Textron (EMEA)

Textron (N. America)

Textron (N. America)

Whirlpool (N. America)

Whirlpool (N. America)

Xcel Energy

RESPONSIVENESS

My Training Strategist completed
a training plan for my program monthly.

1.00

4.00

3.00

4.00

4.00

4.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

4.00

1.00

2.00

4.00

4.00

2.00

4.00

4.00

3.00

3.00

4.00

4.00

4.00

4.00

3.00

3.00

My
On-line Reference Change Request forms were completed within the SLA target
of 3 business days.

1.00

3.00

3.00

4.00

4.00

3.00

3.00

3.00

2.00

4.00

4.00

4.00

3.00

2.00

3.00

3.00

2.00

1.00

3.00

2.00

3.00

4.00

4.00

4.00

2.00

2.00

My
Training Strategist responded to my requests within 1 business day?

1.00

3.00

3.00

3.00

4.00

4.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

4.00

4.00

3.00

3.00

4.00

2.00

3.00

4.00

3.00

3.00

4.00

4.00

4.00

4.00

3.00

3.00

QUALITY

The overall quality of program
specific material developed has been…

1.00

3.00

3.00

3.00

4.00

4.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

3.00

2.00

3.00

3.00

3.00

2.00

4.00

4.00

4.00

4.00

4.00

3.00

4.00

3.00

3.00

The
overall quality of Global Standard training delivered for my program has
been...

2.00

3.00

3.00

3.00

4.00

4.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

1.00

2.00

3.00

3.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

3.00

4.00

3.00

3.00

The
overall quality of new hire training support has been…

1.00

2.00

3.00

3.00

3.00

4.00

3.00

3.00

3.00

4.00

4.00

4.00

4.00

1.00

2.00

3.00

3.00

3.00

2.00

4.00

4.00

4.00

4.00

4.00

3.00

4.00

3.00

2.00

PERFORM. IMPRVT.

Call Calibrations

N/A

N/A

3.00

4.00

4.00

N/A

N/A

4.00

4.00

N/A

4.00

N/A

N/A

1.00

N/A

4.00

4.00

N/A

3.00

N/A

3.00

N/A

4.00

3.00

4.00

4.00

3.00

Development
of Monthly Knowledge Assessments

N/A

1.00

N/A

3.00

4.00

N/A

N/A

3.00

N/A

N/A

N/A

N/A

N/A

1.00

N/A

N/A

N/A

1.00

3.00

N/A

3.00

N/A

N/A

1.00

4.00

4.00

4.00

M&P
Audits

N/A

1.00

N/A

3.00

4.00

N/A

N/A

3.00

N/A

N/A

N/A

N/A

N/A

1.00

N/A

N/A

N/A

2.00

3.00

N/A

4.00

N/A

4.00

N/A

N/A

3.00

3.00

Development
of FAQ

N/A

2.00

N/A

3.00

4.00

4.00

N/A

3.00

2.00

N/A

N/A

N/A

N/A

1.00

N/A

N/A

N/A

N/A

3.00

N/A

4.00

N/A

N/A

2.00

4.00

3.00

3.00

Comm.

My overall satisfaction with the
communications between me and my Training

Strategist is…

N/A

3.00

3.00

4.00

4.00

3.00

3.00

4.00

4.00

4.00

4.00

4.00

4.00

4.00

2.00

3.00

3.00

2.00

4.00

4.00

4.00

4.00

4.00

4.00

4.00

4.00

4.00

TS Sat.

My overall satisfaction with my
Training Strategist is…

N/A

3.00

3.00

4.00

4.00

3.00

3.00

4.00

4.00

4.00

4.00

4.00

4.00

3.00

2.00

3.00

3.00

1.00

4.00

4.00

4.00

4.00

4.00

4.00

4.00

3.00

4.00

Team Sat.

My overall satisfaction with
other program support team members (e.g., OLR, Sr. Managers, Directors, etc.)
is…

N/A

2.00

3.00

3.00

3.00

4.00

3.00

4.00

4.00

4.00

4.00

2.00

4.00

N/A

2.00

3.00

3.00

2.00

3.00

4.00

4.00

2.00

4.00

4.00

4.00

4.00

3.00

Number of Respondents (by program)

Program

Responsiveness

Quality

Performance Improvement

Communications

Training Stategist Satisfaction

Program Support Team
Satisfaction

Avaya
(APAC)

1.00

1.33

N/A

N/A

N/A

N/A

1.17

Avaya
(EMEA)

3.33

2.67

1.33

3.00

3.00

3.00

2.72

BMS

3.56

3.22

3.56

3.67

3.67

3.00

3.44

Boston
Scientific (N. America)

3.40

3.50

4.00

3.00

3.00

3.50

3.40

Fifth
Third

3.11

3.00

3.17

4.00

4.00

4.00

3.55

Flextronics

4.00

4.00

4.00

4.00

4.00

4.00

4.00

Honeywell

3.56

3.22

1.00

4.00

3.67

3.00

3.07

Office
Depot

2.33

2.00

N/A

2.00

2.00

2.00

2.07

State
of Florida (Jacksonville)

3.50

3.00

4.00

3.00

3.00

3.00

3.25

State
of Florida (Tallahassee)

2.33

2.67

1.50

2.00

1.00

2.00

1.92

State
of Texas

3.11

3.89

3.25

4.00

4.00

3.67

3.65

Textron
(EMEA)

4.00

4.00

N/A

4.00

4.00

2.00

3.60

Textron
(N. America)

4.00

3.50

2.80

4.00

4.00

4.00

3.72

Whirlpool
(N. America)

3.20

3.50

3.71

4.00

3.50

4.00

3.65

Xcel
Energy

2.67

2.67

3.25

4.00

4.00

3.00

3.26

Category
Average

3.14

3.08

2.96

3.48

3.35

3.15

GRAND AVERAGE

3.20

Avaya
(APAC)

1.17

State
of Florida (Tallahassee)

1.92

Office
Depot

2.07

Avaya
(EMEA)

2.72

Honeywell

3.07

State
of Florida (Jacksonville)

3.25

Xcel
Energy

3.26

Boston
Scientific (N. America)

3.40

BMS

3.44

Fifth
Third

3.55

Textron
(EMEA)

3.60

Whirlpool
(N. America)

3.65

State
of Texas

3.65

Textron
(N. America)

3.72

Flextronics

4.00

Program

Responsiveness

Quality

Performance Improvement

Training Strategist Strengths

Training Strategist Improvement
Opportunities

Overall Service Quality
Improvement Suggestions

Avaya
(APAC)

No training strategist was ever
assigned to my knowledge. But then, I just took over the program in June 08

There have not been any
training provided for y new hires.

No training strategist was ever
assigned

No training strategist was ever
assigned

Avaya
(EMEA)

Knowledge Assesments and
knowledge training were handled entirely in house until the Budapest
migration.  M&P Audits are
handled almost entirely by Operations.

Clear, organised, methodical in
approach

Could be more energetic and
more Operations focused

BMS

Karissa came from BMS and has a
lot of knowledge

Very Knowledgeble and helpful

Our trainer is very  involved
with our team members and makes time for us whenever needed.

Karissa is very busy and
doesn't have a lot of time--she is streched thin

She should be given more time for us if needed.

Since Karissa's time is split
between SOF and BMS her time is stretched thin…

Our trainer does a great job with the team

Give our trainer more availabilty to be in our team area especially when
newhires are in our team.

Boston
Scientific (N. America)

I don't submit OLR Change
Requests

Sean has received kudos for
delivering effective training to the team.

Good

Sean often mentions the high
number of OT he works to complete his projects. Perhaps he's either
overworked or not as organized as he should be. Also, during a recent meeting
with the Guidant client about implementing their payroll, he said payroll was
his weakest area. I didn't think that comment was necessary and may have
caused the client to be concerned.

I feel uncomfortable when Sean
says he doesn't have enough time to handle his workload, especially when it's
in response to a request to help with something. He may need help to reduce
his workload or to better manage his time. That may free him up to create
more of the excellent materials he develops faster and/or to effectively
deliver more classroom training.

Fifth
Third

good listner

more contact

Flextronics

I don't submit OLR Change
Requests.

Gets results, hardworking,
proactive, fun to be around

Knowledge and attention to detail

Nothing significant comes to
mind other than over time Tiffany will gain more general business experience
adding higher value to her support.

Doing a great job, I can't see
any area that needs improvement at this time.

Honeywell

Tiffany is not only responsive
but quite proactive as well.

What's a training plan?

The classes Tiffany trains are
more successful and confident than the training we complete OJT side by side.
Tiffany supports 3 programs and this is a major challenge, she always
balances this well, although anyone can see she is stretched thin.

I have had to train in the new agents myself by creating my own materials.
I don't know what Global Standard training means, but I don't think it has
been delivered.

Tiffany has not had the
opportunity to provide any of these items to Honeywell at this time.

I do call calibrations by myself with no support from anyone. I don't know
what a monthly knowledge assessment is. I've never heard of M&P audits,
or developing FAQs.

Flexibility, Great
Communications, Wonderful follow-up, Positive attitude, Proactive

Organized and knowledgeable

My strategist is a hard worker and she's very smart and organized.

I'm sorry if I've been harsh on
this survey, I'm just a little bitter that I have 2 new hires, and I'm
co-ordinating their training, and I'll probably have to train each of them
myself. They are each with different towers, so I'll need to set apart time with
each of them. This is time I don't have, and a function that I thought was
supposed to be delivered by the training dept. Not only will I have to
co-ordinate their training and create training materials for them, but I have
to make sure they've completed all their PDC new hire courses, resolve issues
with one of the courses and its technical issues, make sure their direct
deposit information is submitted to payroll, explain the client policies,
take them on a tour of the building, show them the fire exits, explain
occupational health and safety, other facilities things, etc etc etc.
Additionally, I need to fix our online reference guide which is a mess, and
it seems that I’m the only one who can correct it.

The quality cannot be improved.
Tiffany is managing a heavy workload.

Just give me a hand. I feel totally alone and unsupported when it comes to
training.

Office
Depot

Tamara has good knowledge of OD

Time to finish M&Ps from
several months ago that are still not complete.

Tamara supports several
programs and doesn't seem to have a lot of time available.

State of
Florida (Jacksonville)

We have not had an opportunity
to  work with our current Training
Strategist with a new hire training class.  So, I was looking for a Not Applicable
response for these questions, but there is not one available.  So, I just selected Good.

very responsive, and always
willing to support us in whatever training requirements we have for the
month.

Just to continue to learn more
about the HR and Staffing towers that we mainly support, especially related
to training, here in JAX.

State of
Florida (Tallahassee)

my training strategist doesnt
do OLR change request

Team player, juggles a lot of
hats

Not a dedicated resources and
seems pulled in different directions

Train more.  Train often.  Manage training and M&Ps

State
of Texas

We had some challenges with OLR
processing timelines late 2007 and early 2008.  Some of the backlog was created by
operational mass updates to the OLR.

Vast improvement over the past few months.

Heather understands the
operation and client.  She is
quick in identifying areas of focus for refresher training.  She is engaged in lending training
support to the operation.  She is
responsive and proactive.  STRONG
ASSET TO THE TEAM!

Knowledge

Subject knowledge and assesment of trainees

Heather is wonderful but has
only been our strategist for 3+ months.
In that time she has made significant headway on many projects.  Please note that some of the answers
were given based on her limited time in the position.  That being said, I fully anticipate
the answers will only improve.

Textron
(EMEA)

Flexibility, Great
Communications, Wonderful follow-up, Positive attitude, Proactive

Textron
(N. America)

Attention to detail

Tiffany is strong overall in her role

For training in general - I
would like to see a dedicated trainer for each project

Doing a great job, I don't see
any area that requires improvement at this time.

As previously stated - a dedicated training resource for each project or
shared with one other maximum.
For smaller projects like our - our in-team coach is also an integral
part of our processing team and is often pulled in different directions.

Whirlpool
(N. America)

I don't submit OLR Change
Requests

Gets results, hardworking,
proactive, looks beyond the "tunnel" of training to add broad value
to other aspects fo the project

Excellent communication skills and personality

Nothing comes to mind

Availability

Nothing comes to mind

Training stratigist requires work with other trainers. A 100% Dedicated to
project trainder would help improve availability

Xcel
Energy

We have not had a new hire
since 2004 until now an it is only one agent. We are working on that material
today

very personable, The client
really liked her.

to know Xcel product

I can see continuous
improvement and every body is talking about continuing education and PDC is a
common word around the office now. I just think that the PDC needs to be more
user friendly. The tests are very confusing.

Description:

Process
Control Chart (Training Service Quality)

Note:

This is included for
your consideration to make this a measurable process going forward.

Analyst:

GVM

Data source:

Training Service Quality
Survey (GVM Solutions)

Date/Time:

system database sync

Quality
Control Process Charts

Sample size

6

Number of samples

14

(Missing or invalid data
in 2 samples.)

Mean

Range

Upper Control Limit, UCL

3.8188

2.4175

Center

3.2361

1.2063

Lower Control Limit, LCL

2.6535

0.0000

8/18/2008 11:39.22.000

Quality
Control Process Charts

Number of samples

82

Defects per sample

Upper Control Limit, UCL

8.651

Center

3.246

Lower Control Limit, LCL

0.000

8/18/2008 11:40.40.000

Description:

Analysis of Variance (ANOVA) 2-Way

Analyst:

GVM

Data source:

Training Service Quality
Survey (GVM Solutions)

Date/Time:

system database sync

What it means
simply stated (WIMSS):

Based on
the data, we strongly reject (p < .00001) the null hypothesis (Ho) that
program (client) means are equal (sig. "treatment" effect).  The Post hoc tests reveal precise
differences between the programs.
Regarding differences between individual question responses across
programs, we also reject the null hypothesis (Ho) of equal means, but not as
strongly (reject at .05, but not .01 alpha level, p = .0181).  Bottom line: the
mean differences between programs/clients are statistically significant.

Randomized
blocks ANOVA

Anova: Two-Factor Without
Replication

Mean

n

Std. Dev

SUMMARY

Count

Sum

Average

Variance

3.259259259

2.88889

9

0.60093

Avaya (EMEA)

training plan monthly

14

48.33333

3.452381

0.330891331

3.259259259

3.40741

9

0.27778

BMS

OLR change requests

14

41.16667

2.9404762

0.716269841

3.259259259

3.33333

9

0.25000

BSC (NAR)

one day response

14

48

3.4285714

0.212454212

3.259259259

3.37037

9

0.51220

Fifth Third

material quality

14

46

3.2857143

0.339438339

3.259259259

4.00000

9

0.00000

Flextronics

global std. quality

14

45.5

3.25

0.263888889

3.259259259

3.44444

9

0.44096

Honeywell

new hire support

14

43

3.0714286

0.532967033

3.259259259

2.11111

9

0.33333

O. Depot

Communications

14

48.66667

3.4761905

0.559218559

3.259259259

3.16667

9

0.35355

SOF JAX

Tr. Strat. SAT

14

46.83333

3.3452381

0.80540293

3.259259259

2.22222

9

0.66667

SOF TALLY

Mgt. Team SAT

14

43.16667

3.0833333

0.661324786

3.259259259

3.62963

9

0.45474

SOT

3.259259259

3.77778

9

0.66667

Textron (EMEA)

Avaya (EMEA)

9

26

2.8888889

0.361111111

3.259259259

3.83333

9

0.25000

Textron (NAR)

BMS

9

30.66667

3.4074074

0.077160494

3.259259259

3.44444

9

0.58333

Whirlpool (NAR)

BSC (NAR)

9

30

3.3333333

0.0625

3.259259259

3.00000

9

0.70711

Xcel

Fifth Third

9

30.33333

3.3703704

0.262345679

Flextronics

9

36

4

0

3.45238

14

0.57523

training plan monthly

Honeywell

9

31

3.4444444

0.194444444

2.94048

14

0.84633

OLR change requests

O. Depot

9

19

2.1111111

0.111111111

3.42857

14

0.46093

one day response

SOF JAX

9

28.5

3.1666667

0.125

3.28571

14

0.58261

material quality

SOF TALLY

9

20

2.2222222

0.444444444

3.25000

14

0.51370

global std. quality

SOT

9

32.66667

3.6296296

0.206790123

3.07143

14

0.73005

new hire support

Textron (EMEA)

9

34

3.7777778

0.444444444

3.47619

14

0.74781

Communications

Textron (NAR)

9

34.5

3.8333333

0.0625

3.34524

14

0.89744

Tr. Strat. SAT

Whirlpool (NAR)

9

31

3.4444444

0.340277778

3.08333

14

0.81322

Mgt. Team SAT

Xcel

9

27

3

0.5

3.25926

126

0.70160

Total

ANOVA table

ANOVA

Source

SS

df

MS

F

p-value

Source of Variation

SS

df

MS

F

P-value

F crit

Treatments

35.9938

13

2.76876

13.40

6.49E-17

Rows

4.046737

8

0.5058422

2.447968814

0.018100706

2.028648865

Blocks

4.0467

8

0.50584

2.45

.0181

Columns

35.99383

13

2.7687559

13.39909725

6.48523E-17

1.815407472

Error

21.4903

104

0.20664

Error

21.4903

104

0.2066375

Total

61.5309

125

Total

61.53086

125

Post
hoc analysis

Tukey
simultaneous comparison t-values (d.f. = 104)

O. Depot

SOF TALLY

Avaya (EMEA)

Xcel

SOF JAX

BSC (NAR)

Fifth Third

BMS

Honeywell

Whirlpool (NAR)

SOT

Textron (EMEA)

Textron (NAR)

Flextronics

2.11111

2.22222

2.88889

3.00000

3.16667

3.33333

3.37037

3.40741

3.44444

3.44444

3.62963

3.77778

3.83333

4.00000

O. Depot

2.11111

SOF TALLY

2.22222

0.52

Avaya (EMEA)

2.88889

3.63

3.11

Xcel

3.00000

4.15

3.63

0.52

SOF JAX

3.16667

4.93

4.41

1.30

0.78

BSC (NAR)

3.33333

5.70

5.19

2.07

1.56

0.78

Fifth Third

3.37037

5.88

5.36

2.25

1.73

0.95

0.17

BMS

3.40741

6.05

5.53

2.42

1.90

1.12

0.35

0.17

Honeywell

3.44444

6.22

5.70

2.59

2.07

1.30

0.52

0.35

0.17

Whirlpool (NAR)

3.44444

6.22

5.70

2.59

2.07

1.30

0.52

0.35

0.17

0.00

SOT

3.62963

7.09

6.57

3.46

2.94

2.16

1.38

1.21

1.04

0.86

0.86

Textron (EMEA)

3.77778

7.78

7.26

4.15

3.63

2.85

2.07

1.90

1.73

1.56

1.56

0.69

Textron (NAR)

3.83333

8.04

7.52

4.41

3.89

3.11

2.33

2.16

1.99

1.81

1.81

0.95

0.26

Flextronics

4.00000

8.81

8.30

5.19

4.67

3.89

3.11

2.94

2.77

2.59

2.59

1.73

1.04

0.78

critical values for experimentwise error rate:

0.05

3.44

0.01

3.96

p-values
for pairwise t-tests

O. Depot

SOF TALLY

Avaya (EMEA)

Xcel

SOF JAX

BSC (NAR)

Fifth Third

BMS

Honeywell

Whirlpool (NAR)

SOT

Textron (EMEA)

Textron (NAR)

Flextronics

2.11111

2.22222

2.88889

3.00000

3.16667

3.33333

3.37037

3.40741

3.44444

3.44444

3.62963

3.77778

3.83333

4.00000

O. Depot

2.11111

SOF TALLY

2.22222

.6052

Avaya (EMEA)

2.88889

.0004

.0024

Xcel

3.00000

.0001

.0004

.6052

SOF JAX

3.16667

3.18E-06

2.55E-05

.1977

.4385

BSC (NAR)

3.33333

1.11E-07

1.07E-06

.0405

.1229

.4385

Fifth Third

3.37037

5.10E-08

5.08E-07

.0268

.0869

.3440

.8631

BMS

3.40741

2.32E-08

2.39E-07

.0173

.0600

.2638

.7303

.8631

Honeywell

3.44444

1.04E-08

1.11E-07

.0109

.0405

.1977

.6052

.7303

.8631

Whirlpool (NAR)

3.44444

1.04E-08

1.11E-07

.0109

.0405

.1977

.6052

.7303

.8631

1.0000

SOT

3.62963

1.70E-10

2.06E-09

.0008

.0041

.0330

.1697

.2291

.3021

.3895

.3895

Textron (EMEA)

3.77778

5.61E-12

7.31E-11

.0001

.0004

.0052

.0405

.0600

.0869

.1229

.1229

.4909

Textron (NAR)

3.83333

1.53E-12

2.04E-11

2.55E-05

.0002

.0024

.0216

.0330

.0495

.0724

.0724

.3440

.7960

Flextronics

4.00000

2.96E-14

4.13E-13

1.07E-06

9.16E-06

.0002

.0024

.0041

.0067

.0109

.0109

.0869

.3021

.4385

This worksheet contains values required for MegaStat charts.

Xbar Plot data

3.452381

2.763148

3.259259

3.75537

2.940476

2.763148

3.259259

3.75537

3.428571

2.763148

3.259259

3.75537

3.285714

2.763148

3.259259

3.75537

3.25

2.763148

3.259259

3.75537

3.071429

2.763148

3.259259

3.75537

3.47619

2.763148

3.259259

3.75537

3.345238

2.763148

3.259259

3.75537

3.083333

2.763148

3.259259

3.75537

2.763148

3.259259

3.75537

Rbar Plot
data  8/16/2008 9:08.52.000

2

0.692444

2.111111

3.529778

2.5

0.692444

2.111111

3.529778

1.5

0.692444

2.111111

3.529778

2

0.692444

2.111111

3.529778

2

0.692444

2.111111

3.529778

2

0.692444

2.111111

3.529778

2

0.692444

2.111111

3.529778

3

0.692444

2.111111

3.529778

2

0.692444

2.111111

3.529778

0.692444

2.111111

3.529778

Xbar Plot data

3.452381

2.788481

3.259259

3.730037

2.940476

2.788481

3.259259

3.730037

3.428571

2.788481

3.259259

3.730037

3.285714

2.788481

3.259259

3.730037

3.25

2.788481

3.259259

3.730037

3.071429

2.788481

3.259259

3.730037

3.47619

2.788481

3.259259

3.730037

3.345238

2.788481

3.259259

3.730037

3.083333

2.788481

3.259259

3.730037

2.788481

3.259259

3.730037

Rbar Plot
data  8/16/2008 9:10.54.000

2

0.732556

2.111111

3.489667

2.5

0.732556

2.111111

3.489667

1.5

0.732556

2.111111

3.489667

2

0.732556

2.111111

3.489667

2

0.732556

2.111111

3.489667

2

0.732556

2.111111

3.489667

2

0.732556

2.111111

3.489667

3

0.732556

2.111111

3.489667

2

0.732556

2.111111

3.489667

0.732556

2.111111

3.489667

Xbar Plot data

2.722222

2.653482

3.236149

3.818816

3.444444

2.653482

3.236149

3.818816

3.4

2.653482

3.236149

3.818816

3.546296

2.653482

3.236149

3.818816

4

2.653482

3.236149

3.818816

3.074074

2.653482

3.236149

3.818816

2.066667

2.653482

3.236149

3.818816

3.25

2.653482

3.236149

3.818816

1.916667

2.653482

3.236149

3.818816

3.652778

2.653482

3.236149

3.818816

3.6

2.653482

3.236149

3.818816

3.716667

2.653482

3.236149

3.818816

3.652381

2.653482

3.236149

3.818816

3.263889

2.653482

3.236149

3.818816

2.653482

3.236149

3.818816

Rbar Plot
data  8/16/2008 9:12.15.000

2

0

1.206349

2.417524

0.666667

0

1.206349

2.417524

1

0

1.206349

2.417524

1

0

1.206349

2.417524

0

0

1.206349

2.417524

3

0

1.206349

2.417524

0.333333

0

1.206349

2.417524

1

0

1.206349

2.417524

1.666667

0

1.206349

2.417524

0.888889

0

1.206349

2.417524

2

0

1.206349

2.417524

1.2

0

1.206349

2.417524

0.8

0

1.206349

2.417524

1.333333

0

1.206349

2.417524

0

1.206349

2.417524

Xbar Plot data

2.722222

2.730689

3.236149

3.741609

3.444444

2.730689

3.236149

3.741609

3.4

2.730689

3.236149

3.741609

3.546296

2.730689

3.236149

3.741609

4

2.730689

3.236149

3.741609

3.074074

2.730689

3.236149

3.741609

2.066667

2.730689

3.236149

3.741609

3.25

2.730689

3.236149

3.741609

1.916667

2.730689

3.236149

3.741609

3.652778

2.730689

3.236149

3.741609

3.6

2.730689

3.236149

3.741609

3.716667

2.730689

3.236149

3.741609

3.652381

2.730689

3.236149

3.741609

3.263889

2.730689

3.236149

3.741609

2.730689

3.236149

3.741609

Rbar Plot
data  8/16/2008 9:14.08.000

2

0.091683

1.206349

2.321016

0.666667

0.091683

1.206349

2.321016

1

0.091683

1.206349

2.321016

1

0.091683

1.206349

2.321016

0

0.091683

1.206349

2.321016

3

0.091683

1.206349

2.321016

0.333333

0.091683

1.206349

2.321016

1

0.091683

1.206349

2.321016

1.666667

0.091683

1.206349

2.321016

0.888889

0.091683

1.206349

2.321016

2

0.091683

1.206349

2.321016

1.2

0.091683

1.206349

2.321016

0.8

0.091683

1.206349

2.321016

1.333333

0.091683

1.206349

2.321016

0.091683

1.206349

2.321016

Xbar Plot data

2.722222

2.653482

3.236149

3.818816

3.444444

2.653482

3.236149

3.818816

3.4

2.653482

3.236149

3.818816

3.546296

2.653482

3.236149

3.818816

4

2.653482

3.236149

3.818816

3.074074

2.653482

3.236149

3.818816

2.066667

2.653482

3.236149

3.818816

3.25

2.653482

3.236149

3.818816

1.916667

2.653482

3.236149

3.818816

3.652778

2.653482

3.236149

3.818816

3.6

2.653482

3.236149

3.818816

3.716667

2.653482

3.236149

3.818816

3.652381

2.653482

3.236149

3.818816

3.263889

2.653482

3.236149

3.818816

2.653482

3.236149

3.818816

Rbar Plot
data  8/16/2008 9:15.57.000

2

0

1.206349

2.417524

0.666667

0

1.206349

2.417524

1

0

1.206349

2.417524

1

0

1.206349

2.417524

0

0

1.206349

2.417524

3

0

1.206349

2.417524

0.333333

0

1.206349

2.417524

1

0

1.206349

2.417524

1.666667

0

1.206349

2.417524

0.888889

0

1.206349

2.417524

2

0

1.206349

2.417524

1.2

0

1.206349

2.417524

0.8

0

1.206349

2.417524

1.333333

0

1.206349

2.417524

0

1.206349

2.417524

Xbar Plot data

2.722222

2.653482

3.236149

3.818816

3.444444

2.653482

3.236149

3.818816

3.4

2.653482

3.236149

3.818816

3.546296

2.653482

3.236149

3.818816

4

2.653482

3.236149

3.818816

3.074074

2.653482

3.236149

3.818816

2.066667

2.653482

3.236149

3.818816

3.25

2.653482

3.236149

3.818816

1.916667

2.653482

3.236149

3.818816

3.652778

2.653482

3.236149

3.818816

3.6

2.653482

3.236149

3.818816

3.716667

2.653482

3.236149

3.818816

3.652381

2.653482

3.236149

3.818816

3.263889

2.653482

3.236149

3.818816

2.653482

3.236149

3.818816

Rbar Plot
data  8/18/2008 11:39.22.000

2

0

1.206349

2.417524

0.666667

0

1.206349

2.417524

1

0

1.206349

2.417524

1

0

1.206349

2.417524

0

0

1.206349

2.417524

3

0

1.206349

2.417524

0.333333

0

1.206349

2.417524

1

0

1.206349

2.417524

1.666667

0

1.206349

2.417524

0.888889

0

1.206349

2.417524

2

0

1.206349

2.417524

1.2

0

1.206349

2.417524

0.8

0

1.206349

2.417524

1.333333

0

1.206349

2.417524

0

1.206349

2.417524

Defects
Plot data8/18/2008 11:40.40.000

3.333333

0

3.245974

8.650949

2.666667

0

3.245974

8.650949

1.333333

0

3.245974

8.650949

3

0

3.245974

8.650949

3

0

3.245974

8.650949

3

0

3.245974

8.650949

3.555556

0

3.245974

8.650949

3.222222

0

3.245974

8.650949

3.555556

0

3.245974

8.650949

3.666667

0

3.245974

8.650949

3.666667

0

3.245974

8.650949

3

0

3.245974

8.650949

3.4

0

3.245974

8.650949

3.5

0

3.245974

8.650949

4

0

3.245974

8.650949

3

0

3.245974

8.650949

3

0

3.245974

8.650949

3.5

0

3.245974

8.650949

3.111111

0

3.245974

8.650949

3

0

3.245974

8.650949

3.166667

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

3.555556

0

3.245974

8.650949

3.222222

0

3.245974

8.650949

1

0

3.245974

8.650949

4

0

3.245974

8.650949

3.666667

0

3.245974

8.650949

3

0

3.245974

8.650949

2.333333

0

3.245974

8.650949

2

0

3.245974

8.650949

2

0

3.245974

8.650949

2

0

3.245974

8.650949

2

0

3.245974

8.650949

3.5

0

3.245974

8.650949

3

0

3.245974

8.650949

4

0

3.245974

8.650949

3

0

3.245974

8.650949

3

0

3.245974

8.650949

3

0

3.245974

8.650949

2.333333

0

3.245974

8.650949

2.666667

0

3.245974

8.650949

1.5

0

3.245974

8.650949

2

0

3.245974

8.650949

1

0

3.245974

8.650949

2

0

3.245974

8.650949

3.111111

0

3.245974

8.650949

3.888889

0

3.245974

8.650949

3.25

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

3.666667

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

2

0

3.245974

8.650949

4

0

3.245974

8.650949

3.5

0

3.245974

8.650949

2.8

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

3.2

0

3.245974

8.650949

3.5

0

3.245974

8.650949

3.714286

0

3.245974

8.650949

4

0

3.245974

8.650949

3.5

0

3.245974

8.650949

4

0

3.245974

8.650949

2.666667

0

3.245974

8.650949

2.666667

0

3.245974

8.650949

3.25

0

3.245974

8.650949

4

0

3.245974

8.650949

4

0

3.245974

8.650949

3

0

3.245974

8.650949

0

3.245974

8.650949

Xbar Plot data

2.722222

2.653482

3.236149

3.818816

3.444444

2.653482

3.236149

3.818816

3.4

2.653482

3.236149

3.818816

3.546296

2.653482

3.236149

3.818816

4

2.653482

3.236149

3.818816

3.074074

2.653482

3.236149

3.818816

2.066667

2.653482

3.236149

3.818816

3.25

2.653482

3.236149

3.818816

1.916667

2.653482

3.236149

3.818816

3.652778

2.653482

3.236149

3.818816

3.6

2.653482

3.236149

3.818816

3.716667

2.653482

3.236149

3.818816

3.652381

2.653482

3.236149

3.818816

3.263889

2.653482

3.236149

3.818816

2.653482

3.236149

3.818816

Rbar Plot
data  8/18/2008 14:38.18.000

2

0

1.206349

2.417524

0.666667

0

1.206349

2.417524

1

0

1.206349

2.417524

1

0

1.206349

2.417524

0

0

1.206349

2.417524

3

0

1.206349

2.417524

0.333333

0

1.206349

2.417524

1

0

1.206349

2.417524

1.666667

0

1.206349

2.417524

0.888889

0

1.206349

2.417524

2

0

1.206349

2.417524

1.2

0

1.206349

2.417524

0.8

0

1.206349

2.417524

1.333333

0

1.206349

2.417524

0

1.206349

2.417524

Xbar Plot data

10.10667

9.68081

10.25267

10.82452

10.23333

9.68081

10.25267

10.82452

10.36333

9.68081

10.25267

10.82452

10.22

9.68081

10.25267

10.82452

9.92

9.68081

10.25267

10.82452

10.32333

9.68081

10.25267

10.82452

10.62333

9.68081

10.25267

10.82452

10.24333

9.68081

10.25267

10.82452

10.32333

9.68081

10.25267

10.82452

10.17

9.68081

10.25267

10.82452

9.68081

10.25267

10.82452

Rbar Plot
data  8/18/2008 14:44.38.000

0.52

0

0.559

1.438866

0.21

0

0.559

1.438866

0.88

0

0.559

1.438866

0.52

0

0.559

1.438866

0.92

0

0.559

1.438866

0.44

0

0.559

1.438866

0.65

0

0.559

1.438866

0.45

0

0.559

1.438866

0.56

0

0.559

1.438866

0.44

0

0.559

1.438866

0

0.559

1.438866

Description:

Multiple
Regression Analysis

Analyst:

GVM

Data source:

Training Service Quality
Survey (GVM Solutions)

Date/Time:

system database sync

What it means
simply stated (WIMSS):

Of all
measured survey response items and areas, those related to communications are
most highly correlated with overall Training Strategist Satisfaction (i.e.
Communications is the best single predictor of TS Sat).  The second most highly correlated area
(predictor) of Training Strategist Satisfaction is Responsiveness.  Interestingly, training material
quality is not as highly correlated with overall TS Satisfaction.  See regression chart at the bottom of
this worksheet.

Regression
Analysis -- All Possible Regressions

14

observations

Training Stategist Satisfaction

is the dependent
variable

p-values for the
coefficients

Nvar

Responsiveness

Quality

Communications

s

Adj R²

R²

Cp

p-value

3

.1547

.2415

.0000

.278

.904

.926

4.000

5.82E-06

1

.0000

.285

.899

.907

2.551

1.51E-07

2

.3500

.0000

.285

.899

.915

3.550

1.33E-06

2

.6968

.0000

.295

.892

.908

4.371

1.94E-06

1

.0093

.696

.398

.444

65.122

.0093

2

.2173

.3987

.703

.386

.481

62.201

.0273

1

.0153

.724

.350

.400

71.133

.0153

Regression
Analysis -- Stepwise Selection displaying the best model of each size

14

observations

Training Stategist Satisfaction

is the dependent
variable

p-values for the
coefficients

Nvar

Responsiveness

Quality

Communications

s

Adj R²

R²

Cp

p-value

1

.0000

.285

.899

.907

2.551

1.51E-07

2

.3500

.0000

.285

.899

.915

3.550

1.33E-06

3

.1547

.2415

.0000

.278

.904

.926

4.000

5.82E-06