Title: Organizational Leadership MBA 6200
1Organizational Leadership MBA 6200
- Tom Timmerman, Ph.D.
- Associate Professor of Business Management
- ttimmerman_at_tntech.edu
2First
- Dollar Auction
- The Point
- Organizational Behavior
- Predicting Behavior
- Explaining Behavior
- Influencing/Controlling Behavior
- These require cause/effect understanding
- Where does this come from?
3Understanding Cause/Effect
- What happens during a full moon?
4Lunar Beliefs
5Lunar Behavior
6Lunar Reality
- We conclude that there is no significant effect
of the lunar cycle on the number of deliveries in
Austria. - 2,760,362 babies born 1970-1999
- T. Waldhoer, G. Haidinger, C. Vutuc, Gynecologic
and Obstetric Investigation 20025388-89. - Statistical analysis showed no significant
difference in the number of births at full moon
as compared to that at new moon. - 3,706 babies born in 1994 at Long Island College
Hospital - R. Joshi, A. Bharadwaj, R. Matthews, Prim. Care
Update Ob Gyns. 1998 5184. - None of these studies produced evidence of lunar
periodicities consistent with folklore. - 50 year review of 27 studies published through
1994 - I.W. Kelly R. Martens, Psychological Reports,
1994 75507-511.
7Origins of Cause/Effect
- Where do lunar beliefs come from?
Cause/Effect Understanding
8Evidence-Based Decision Making
- Does human behavior change during a full moon?
- Link
9EB-Medicine Facilitators
- Education
- Learn cause/effect evidence
- Learn how to learn
- Continuing education
- Decision Support
- Cochrane Collaboration
10Yet
11Another example
- Health-care costs?
- HospitalCompare
- Handwashing?
12Evidence-Based Medicine
Year Setting Average compliance
1981 Open ward 16
ICU 30
1981 ICUs 41
ICUs 28
1983 All wards 45
1987 PICU 30
1990 ICU 32
1990 ICU 81
1991 SICU 51
1992 NICU/others 29
1992 ICUs 40
1992 ICUs 40
1994 Emergency room 32
1999 All wards 48
13Evidence-Based Medicine
- Midwest Business Group on Health
- the authors estimate that 30 percent of all
direct health care outlays today are the result
of poor-quality care, consisting primarily of
overuse, misuse, and waste. - With national health expenditures of roughly 1.4
trillion in 2001, the 30-percent figure
translates into 420 billion spent each year as a
direct result of poor quality. - In addition, the indirect costs of poor quality
(e.g., reduced productivity due to absenteeism)
add an estimated 25 to 50 percent.or 105 to 210
billion.to the national bill.
14Handwashing at Cedars Sinai
15Evidence-Based Management
16What counts as evidence?
- Does unfair treatment cause lower job
satisfaction? - Weak evidence
- Case studies asking experts asking
managers/employees - Suggestive evidence
- Correlational Study
- Strong evidence
- Experimental Study
17Correlational Study
- Example Questionnaires to employees
- Q1 How fairly are you treated by your supervisor?
Very Unfairly Very Fairly
1 2 3 4 5 6 7
Q2 How satisfied are you with your job?
Very UnSat Very Sat
1 2 3 4 5 6 7
18Correlational Data
Person Fairness Sat
A 1 2
B 3 4
C 6 5
D 4 6
E 5 2
F 7 6
G 7 7
H 2 4
I 3 4
J 4 5
19Scatterplots Summarize Data
20Scatterplots Summarize Data
21Correlations Summarize Data
- Correlations are between 1.00 and 1.00
- Sign indicates direction of the relationship.
- Closer to 0 means closer to no relationship.
22The problem with correlational studies
- Impossible to rule out alternative explanations.
- Reverse causation
- Does unfair treatment cause lower satisfaction?
- Or does lower satisfaction cause unfair
treatment? - Third variable problem
- Perhaps some other variable causes satisfaction
and treatment to covary (e.g., personality)
23What counts as evidence?
- Does unfair treatment cause lower satisfaction?
- Weak evidence
- Case studies asking experts asking
managers/employees - Suggestive evidence
- Correlational Study
- Strong evidence
- Experimental Study
24Experimental Study
- Does unfair treatment cause lower satisfaction?
- Randomly assign people to (at least) two groups
- Group 1 Receives fair treatment
- Group 2 Receives unfair treatment
- Observe satisfaction in each group
- Much less likely that alternative explanations
produce the relationship.
25Remember
- Each individual study is only one piece of
evidence.
26How do we summarize the pieces?
- One answer
- Meta-Analysis
- Average correlation/effect adjusted for
- Sample size
- Reliability