APPL 645 Personnel Assessment
Data Analysis Project (DAP)
As part of your course requirements, you will complete a Data Analysis Project (DAP). The purpose of the project is to demonstrate your competence in analyzing test validation data and reporting results to management. You will be provided with a data set that includes predictors and criteria for a specific job in an organization.
About FASP (client organization)
Report outline and suggested SPSS analyses
Links to the O*Net job descriptions
The DAP Project will account for 20% of your course
grade. The Report will be evaluated on the following criteria:
Content
1. Well organized
2. Background literature presented thoroughly and
including seminal references
3. Used and understood psychological/psychometric terms
4. Explained instruments and justify how they used
(predictors and criteria)
5. Validity and reliability evidence presented
(statistics: tables, graphs)
6. The results of the supporting statistical analyses are
clearly presented
7. Discussed issues involving adverse impact, applicant reactions, Socially
Desirable Responding
8. Described benefits to the organization
9. Used full and proper citation
Client:
Farm-A-Suitable Product, Inc. (FASP)
FASP was established in 1990 by Wanda Wye and Howdy Doitt, two childhood friends who were very curious young resarchers in bio-geneitcs. One day long ago while playng together in their back yards they became curious about how plants and animals came about. Wanda’s mother told them that both plants and animals grew out of the ground (not wanting to have to explain the details of reproduction to such innocent, young children).Years later, after having completed their bachelor degrees in biology, Wanda and Howdy brainstormed for hours and came up with what they though would be a way to revolutionize food production to feed a planet of 10 billiion[1] hungry people.
They reasoned that planet earth would never be able to provide enough animals for meat to satisfy the insatiatable apetite of 10 million humans. Nor would there be enough farmland on earth to provide agricultural products to sustain such a large world population.
Therefore, by developing innovative genetic manpulation (GM) techniques, they could merge the bio-genetics for animals and plants and in doing so, invent new suitable food products to feed the world’s burdgeoning population.
Therefore, by merging the DNA for plants with animals they would be able to produce both ”agricultual and animal products” that would be deemed ”suitable” (i.e. functionally effective and acceptable) to both the increasing number of vegans and more populus carnivores.[2] Both animal and plant products would be grown in a wide range of climates (from the melting polar caps to the equator) and in types of soil ranging from red clay to the sandy bottoms of the Atlantic and Pacific oceans. Texas ”farms” would grow beef cattle, Nebraska would grow whole grain bread, pancakes, etc.. In the San Jochin valley of California would grow products such as leafy vegetables and citrus fruits. Alaskan fishers would grow salmon in the muddy north Atlantic sea bottom (i.e. ”farm raisied salmon”), and poulty farms wold grow chickens out of of the rich, sandy soil on the eastern shore of Maryland.
To blunt the complaints of vegans opposed to hurting sentient animals, the animals grown out of the ground would have no pain receptors (DNA having been genetically manipulated to remove any sensing neurons). To appease the hunters, farms in the U.S. midweast would still have bighorn sheep, buffalo, deer, etc. that could be stalked and killed (without inflicting pain) by NRA hunters and paleos[3].
The Chicago slaughter houses would no longer be necessary. Beef cattle could be ”chopped up” much like a head of cabbage[4]. The end product would resemble the beef steaks, lamb chops, whatever. Depletion of aquatic life would no longer be necessary given that fish grown out of the sea floor would be plentiful enough (if seeded constantly) to sustain the existing food chain of aquatic life.
Finally, the little children who are brought by their parents on vacations out west to see the cattle roam and the corn swaying in the prarrie fields of Nebraska could still enjoy that wonderful feeling of having ”things like they used to be” when life was good in the U.S.
To bring this all about, Wanda and Howdy conducted some basic and applied researdch in bio-gentices and devised a workable grand theory of life that combined organic and inorganic chemistry. This innovation won them a Nobel prize in 2001 for finding a way to consolidate the genomes of animal and plant life[5].
To accomplish their mission and gear up to produce enough suitable products, FASP management needs to hire more chemists and sales people in the next two years for the company to reach its target of 200 suitable products by 2020. They must bring products to market within that timeframe to get out in front of competitors such as Monsanto Corp and others who are developing state-of-the art genetically modified agricultural seed products.
Personnel and Organizatioal Psychology Solutions, LLP (POPS ) has been retained by FASP to provide organizational consulting services. POPS was founded (under a differennt name) in 1889 by the James brothers, William and Henry when Bill was professor of psychology at Harvard. Upon realizaing that neither had the interest nor skills to conduct research, they secured the help of Hugo Monsterberg, an I/O psychologist who turned the company around, making it the most profitable (and only) I/O consulting firm in the U.S. at that time. Most recently, POPS has expanded its services to include talent selection and change management. You, acting in the capacity of a contractual consultant[6], have been assigned to the talent selection project for their new client, FASP.
Hiram Quigley, the HR director at FASP has asked Frank N. Stein, the CEO, to authorizie the hire of 50 more chemists and 30 more sales personnel within the coming year. This hiring is essential for FASP to handle the new business that has resulted from the recent astonishing advances in bio-genetics [7] that have come out of research and development at FASP. Hirim has retained POPS to analyze data from two concurrent criterion-related validity studies, one for chemists and one for sales personnel. The objective is to develop a sound selection procdure that will enable Hiram to bring on board the new chemists and sales respreseantationves.
Unfortunately the consultant[8] who designed the study and collected the data for the two validity studies is no longer under contract. Therefore, POPS has been retained to analyze the data and submit a report of the findings to management.
Analyze data
from a concurrent criterion-related validation study (chemist or sales rep) and
report the findings to the FASP senior management team (SMT).
Because HumRowe consultants have already designed the validation study and collected the data you will only need to analyze the data and report the findings to CEO Frank Stein and his senior management team. The tasks to be completed for your assignment are provided below followed by a general outline of the report and suggestions for SPSS data analyses.
As a POPS consultant you will conduct a thorough analysis of the data using SPSS and report the findings in way that they will be understood by FASP managers.
You will be assigned to analyze a current criterion-related validation data set for either Chemist or Sales Representative. The data set will be unique for each junior consultant
About the validation data set:
note: (in Table 1 below)
1. VAR #6 chemex (chemistry exam) is an achievement test, for Chemist (and for Sales Rep, salesexam - is an aptitude test).
2. VARs #14, #15, #16 are Performance Ratings computed by summing 5 Job Duties (1-5 Likert scaled items) to obtain a total Score score with a possible range of 5-25 for each incumbent.
3. VAR #17 for Chemist is Percent of Projects assigned that were completed (average of 12 months), and for Sales Rep, a percentage of sales goals achieved (average of 12 months).
4. Handouts will be provided that show the norms for WPT, WGCTA, NEO -FFI.
5. All other variables definitions are self-evident from the labels
Table 1 Validation Data: for JOB.sav
VAR Num |
VAR Name |
VAR label |
VALUE Labels |
1 |
gender |
Gender |
{1, Female}... |
2 |
race |
Race |
{1.00, African Amer}... |
3 |
tenure |
Tenure |
None |
4 |
cert |
Certified |
{1.00, Yes}... |
5 |
degree |
Degree |
{1.00, Bachelor}... |
6 |
chemex |
Chem Exam |
None |
7 |
wpt |
WPT |
None |
8 |
wgcta |
WGCTA |
None |
9 |
neoN |
Neo N |
None |
10 |
neoE |
Neo E |
None |
11 |
neoO |
Neo O |
None |
12 |
neoA |
Neo A |
None |
13 |
neoC |
Neo C |
None |
14 |
PAself |
PA self rating |
None |
15 |
PAsupe |
PA super rating |
None |
16 |
PApeer |
PA peer rating |
None |
17 |
pctpro |
Pct Projects Completed |
None |
Specific
Details of your assignment::
Report outline and SPSS
analyses:
1. Title: make it definitive as to what was done
2. Executive Summary Guidelines for Writing an Executive
Summary
3. Introduction
a. Describe FASP and what they do
b. Describe the need for the validation study
i.
Need to hire
ii.
Improve
selection for the job assigned to you
iii.
Prevent legal
challenges to the selection procedure
4. Method:
a. Describe the validation strategy and how it was
developed: HumRowe:
i.
conducted the
job analysis (using O*Net!)
ii.
Identified the
predictors and chose the demographics
iii.
obtained self,
supervisor and a peer rating of performance (criterion)
iv.
obtained an
objective criterion
b. Provide a rationale for why predictors were chosen
(connect to KSAOs)
c. Describe the sample of incumbents (N and demographics) -see Results
5. Results: present the results, (SPSS output in APA style[9])
including:
Note:
Remember not to include nominal variables in the correlation tables!
6.
1. Inspect all data using: Analysis-> Descriptives >Explore
2. Frequencies / crosstabs (categorical) and descriptives (continuous) for all variables
3. Descriptives for all continuous variables
4. Correlations among continuous predictors
5. Compare means and SDs to appropriate norms for WPT, WGCTA, Neo FFI facets
6. Correlations among predicros
7. Correlations among criteria (three PA ratings and Objective criterion
8 Correlations between continuous predictors and criteria (use SPSS ‘with’ statement)
9. Estimate interrater reliability for raters’ criterion judgments
Analyze>Scale>Reliability Analysis>[statistics] ...use ALPHA default
10. Compute mean criterion score for combined raters
Analyze>Transform>Compute variable
11. Calculate ANOVAs (One Way) for grouping variables to:
a. Determine if categorical predictors show mean differences on predictors and criteria (i.e group differences)
b. Determine if race/gender groups differ on means for predictors and/or criteria
c. if so for race, then isolate Blacks and Whites (select only for those two groups)
Data> Select cases> if
12. If adverse impact is evident from ANOVA mean differences, then test for differential prediction ( i,e, significant R2 change for interaction term)
then conduct test to determine if slopes differ (moderated MR with gender or two race groups as moderator)
snytax for graphing slopes:
iNSTRUCTIONS FOR GRAPHING Differential Prediction for two levels of race and WPT (assuming you named var for 3 raters (Mean3PA)
to obtain the regression lines for each group
(double left click in graph; in graph insert, click on 6th icon from left (Add Fit Line at Subgroups); close window
13. Correlations between predictors (those to be included in the battery) and total criterion score
14. Conduct multiple R to estimate % variance predicted by battery for each criterion and/or combined criteria (Validation regression analyses (including R2 and R2 change.)
15. Utility: decide which predictors will be used in final battery
16. Determine how predictors will be used (compensatory/multiple hurdle) and their sequence in selection
7. Discussion
a. Summary paragraph of what was done
b. Description of findings
i.
Validity
analyses
ii.
Any meaningful
group differences
iii.
Any provisions
for addressing adverse impact issues and differential prediction
iv.
Recommendations
for implementation of selection procedure
1. Sequence of administration
2. Pragmatic considerations
v.
Usefulness of
findings
1. Improved hiring benefits
2. Protection against legal challenges
vi.
Study
limitations
c. Conclusion (short recap and recommendations to
revalidate in future.
8. References
9. Appendices (as appropriate)
a. Position Description (Appendix A)
b. Selection Protocol (Appendix B)
the data set for the job you will be assigned (either Chemist or Sales Representative) to will be posted in your Sakai assignment folder: DAP Report.
Links to the O*Net job descriptions for the two jobs are:
or
Sales Representatives, Wholesale and Manufacturing,
Technical and Scientific Products 41-4011.00
[1] U.S Department of
Agriculture (2009). Estimate of world
population by the turn of the next millennium. Paper presented at the 150th annual Malthus Society convention in New
Zealand.
[2] India Office of Overpopulation (2011),. Estimate of the proportion of meat eaters to vegetarians in the new
millennium. New Deli conference, Tel Aviv.
[3] The paleo dieters would
later come to realize these animals are not real "meat” in the true genetic sense. But
then it will be too late.
[4] There would be no blood
since all animals would be grown using photosynthesis.
[5] Don’t worry. The human
gut would evolve to accommodate the food products, thus making the farm
products suitable for human consumption.
[6] All employees at POPS are
contractual so the company does not have to provide health benefits.
[7] FASP scientists have devised a means for
maniuplation of genes that such that both animals and plants can be grown using
photosynthesis and with recycled water.
[8] HumRowe, Inc., a
Washington D.C. based consultant was obtained to conduct the study but due to a
lack of cooperation from top management
at FASP, the company abruptly cancelled the contract.
[9] All tables and figures
must be in APA style.