TIM Division List Serve
Vol. 4, No. 7 (April 4, 2007)
Table of Contents:
- Call for Submissions
- Position Announcements
- Research Discussions
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Call for Submissions:
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Dear Colleagues,
We would like to draw your attention to the attached Call for Applications
to the Bologna Summer School in Longitudinal Data Analysis and Missing Data
taught by Prof. Paul Allison (University of Pennsylvania), one of the
world's leading authorities in this field.
The School, now in its 3rd edition, will take place from the 4th till the
8th of June in Bologna and is open for application to highly motivated PhD
students/post docs and young researchers from around the world. Program and
application details follow below.
Thank you
Best wishes,
Simone Ferriani
Raffaele Corrado
Management Department
University of Bologna
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2007 Summer School in Longitudinal Data Analysis and Missing Data
Bologna, June 4-8, 2007
*SCHOOL OBJECTIVES*
The course will introduce statistical methods and techniques required for
the analysis of longitudinal data and for managing missing data problems. In
the first three days of the school participants will learn how to apply
methods for data which varies both across units and over time; these include
models for "panel" data, "time-series cross-sectional" data, and the like.
Topics will include fixed- and random-effects models, GLS-based approaches
to panel data, GEE models, random coefficient models and dynamic models with
lagged dependent variables. Linear, logistic as well as count data models
will be covered. The last two days will be devoted to methods and techniques
for handling missing data. Participants will learn how to apply
state-of-the-art maximum likelihood and multiple imputation techniques in
order to address problems that cannot be reliably solved with traditional
approaches like listwise deletion or regression imputation.
These new methods for handling missing data have been around for at least a
decade, but have only become practical in the last few years with the
introduction of widely available and user friendly software.
While underlying theory will be thoroughly discussed, the greatest emphasis
will be on application and interpretation of models and results (see full
program for further details). Participants are therefore strongly encouraged
to bring their own datasets for analysis. The computer statistical packages
SAS and AMOS will be used extensively for data analysis.
*INSTRUCTOR*
Paul Allison is Professor and Chair of Sociology at the University of
Pennsylvania, where he teaches graduate methods and statistics. He is widely
recognized as an extraordinarily effective teacher of statistical methods
who can reach students with highly diverse backgrounds and expertise.
Allison is the author of many statistical books sold worldwide such as
/Fixed Effects Regression Methods for Longitudinal Data Using SAS/ (SAS
Institute 2005), /Missing Data/ (Sage 2001), /Logistic Regression Using
SASR: Theory and Application/ (SAS Institute 1999), /Multiple Regression: A
Primer/ (Pine Forge 1999), /Survival Analysis Using SASR: A Practical Guide/
(SAS Institute 1995), /Event History Analysis/ (Sage 1984), and numerous
articles on regression analysis, log-linear analysis, logit analysis, latent
variable models, missing data, and inequality measures. A former Guggenheim
Fellow, heis also on the editorial board of Sociological Methods and
Research. In 2001 he received the Paul Lazarsfeld Memorial Award for
Distinguished Contributions to Sociological Methodology.
*PREREQUISITES*
Participants should enter this workshop with an active working knowledge of
the topics covered in a standard course in /Regression Analysis/A
familiarity with the basic chi-square test for two-way contingency tables
and elementary regression and ANOVA is also presumed.
*LOCATION, FORMAT, MATERIALS*
The 5 day course will be held at Villa Guastavillani,
(http://www.almaweb.unibo.it/about_alma.html), a wonderful 16th century
Villa located on the hills of Bologna.
Here is a typical day's schedule:
9-11 Lecture
11-12:30 Supervised computing
12:30-1:30 Lunch break
1:30-3:30 Lecture
3:30-5:30 Computing and consulting
Participants will receive a 100-page manual containing detailed lecture
notes (with equations and graphics), examples of computer printout, and many
other useful features. This document frees participants from the distracting
task of note taking. Participants may also want to refer to Professor
Allison's books, /Fixed Effects Regression Methods for Longitudinal Data
Using SAS/ (SAS Institute 2005) and /Missing Data/ (Sage 2001). The books
are optional.
*APPLICATION PROCEDURE*
Deadline for applications is May 15th 2007. A complete application package
should include the following items:
. A CV indicating nationality, date and place of birth, current affiliation
and position.
. Doctoral students are required to specify the title of the doctoral
program and the year in which they are currently enrolled.
. A statement (no longer than 1 page) that describes (i) the current
research activities of the applicant and (ii) his/her broad research
interests.
All applications will be accepted up to the limit of 20. In case of more
than 20 applications the following criteria will be used for selection:
(1) preference for academic researchers in social sciences; (2) preference
for PhD students and junior researchers with a basic training in statistics;
(3) relevance of the School to the applicant's research program; (4) date of
application. Applicants selected out in the first step of the process will
be included in a waiting list and possibly accepted later. Applications
should be sent exclusively to the following address:
bolognaschool@gmail.com. The School is coordinated by Raffaele Corrado
(
raffaele.corrado@unibo.it) and Simone Ferriani (
simone.ferriani@unibo.it).
*REGISTRATION*
Registration fee is *Euro 450*. The money will be used to cover daily lunch
catering services, prepare the course material, purchase the SAS licenses.
Selected participants will receive details on the payment procedure.
Registration will be confirmed as soon as the payment is received.
Cancellation less than 2 weeks prior to the workshop is subject to a Euro
150 late withdrawal fee. Participants are expected to make their own
arrangements for housing. Special discounted rates are available through the
Management Department.
COURSE PROGRAM
Longitudinal Data Analysis
A Course on Regression Methods for Panel Data (3 Days)
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1. Opportunities and challenges of panel data.
a. Data requirements
b. Control for unobservables
c. Determining causal order
d. Problem of dependence
e. Software considerations
2. Linear models
a. Robust standard errors
b. Random effects models
c. Fixed effects models
d. Hybrid models
3. Logistic regression models
a. Robust standard errors
b. Subject-specific vs. population averaged methods
c. Random effects models
d. Fixed effects models
e. Hybrid models
4. Count data models
a. Poisson models
b. Negative binomial models
c. Fixed and random effects
5. Linear structural equation models
a. Fixed and random effects in the SEM context
b. Models for reciprocal causation with lagged effects
MISSING DATA
A Course on Modern Methods for Handling Missing Data (2 Days)
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Conventional methods for missing data, like listwise deletion or regression
imputation, are prone to three serious problems:
* Inefficient use of the available information, leading to low power
and Type II errors.
* Biased estimates of standard errors, leading to incorrect p-values.
* Biased parameter estimates, due to failure to adjust for
selectivity in missing data.
More accurate and reliable results can be obtained with maximum likelihood
or multiple imputation.
These new methods for handling missing data have been around for at least a
decade, but have only become practical in the last few years with the
introduction of widely available and user friendly software. Maximum
likelihood and multiple imputation have very similar statistical properties.
If the assumptions are met, they are approximately unbiased and
efficient--that is, they have minimum sampling variance. What's remarkable
is that these newer methods depend on less demanding assumptions than those
required for conventional methods for handling missing data. At present,
maximum likelihood is best suited for linear models or log-linear models for
contingency tables. Multiple imputation, on the other hand, can be used for
virtually any statistical problem.
This course will cover the theory and practice of both maximum likelihood
and multiple imputation. Maximum likelihood for linear models will be
demonstrated with Amos, a software package designed for estimating
structural equation models with latent variables. Multiple imputation will
be demonstrated with two new SAS procedures (PROC MI and PROC MIANALYZE) and
two Stata commands (ICE and MICOMBINE).
*Course outline*
1. Assumptions for missing data methods
2. Problems with conventional methods
3. Maximum likelihood (ML)
4. ML with EM algorithm
5. Direct ML with Amos
6. ML for contingency tables
7. Multiple Imputation (MI)
8. MI under multivariate normal model
9. MI with SAS
10. MI with categorical and nonnormal data
11. Interactions and nonlinearities
12. Using auxiliary variables
13. Other parametric approaches to MI
14. Linear hypotheses and likelihood ratio tests
15. Nonparametric and partially parametric methods
16. Sequential generalized regression models
17. MI and ML for nonignorable missing data
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Position Announcements:
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Visiting Position in Strategy
Academic Year 2007-2008
Department of Management and Global Business
Rutgers Business School
The Department of Management and Global Business, RUTGERS BUSINESS
SCHOOL-Newark and New Brunswick, is seeking applications and nominations for
a one-year visiting faculty position in Strategy for the academic year
2007-08. The position could be at the level of assistant, associate or full
professor.
Rutgers is one of the oldest and most distinguished universities in the
country. Rutgers Business School and the Department of Management and Global
Business have many world-renowned scholars. Areas of specialty in the
department include the management of innovation and technology,
international business, and diversity and cross-cultural management.
We seek a visitor whose work will complement that of our department and who
may benefit from a visiting year at Rutgers Business School. The applicant
for this position will be expected to teach courses in Strategy or related
fields during the academic year. At the junior level, we seek candidates
with potential for high-quality research and teaching in Strategy and
related areas. Preference will be given to candidates with evidence of
research productivity and teaching experience. At the senior level, we seek
candidates whose work has earned recognition nationally and internationally,
and whose accomplishments involve successful collaboration with peers and
scholarly development of junior colleagues and doctoral students.
Interested candidates should send electronic versions of their CV and three
letters of reference. For A.B.D. applicants, we also would like a summary of
their dissertation. Applications are due by April 15th, 2007, but continuing
consideration will be given until the position is filled. Please send all
materials by email attachment to:
Recruitment Committee - Visiting Professor in Strategy
C/o Ms. Dawn Gist, Administrative Assistant
Department of Management and Global Business
Rutgers Business School-Newark and New Brunswick
Management Education Center (MEC)
111 Washington Street
Newark, NJ 07102-3027
Tel: 973-353-1650; Fax: 973-353-1664
Email:
dmgist@business.rutgers.edu
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FACULTY POSITION POSTING FORM
Rochester Institute of Technology
JOB TITLE: Instructional Faculty PC#5337
and RANK: Lecturer/Assistant / Associate
DEPARTMENT: Business
JOB CATEGORY: 0Administrative Faculty
X Faculty, Tenure Track
X Faculty, Non- Tenure Track
STARTING DATE: September 2007
DESCRIPTION:
Responsibilities include teaching graduate and undergraduate classes in
Entrepreneurship, Business Fundamentals and possibly elective courses in New
Product Development, Supply Chain Management, and/or Service Operations.
Candidates must be committed to excellence in teaching, research and
service. Typical teaching schedule will be two undergraduate or graduate
courses per quarter.
QUALIFICATIONS:
REQUIRED: Candidates must hold Ph.D. in Business Administration (with
research interests aligned to Technology Innovation or International
Management) or a closely related discipline from an AACSB accredited
institution for a tenure track appointment. The Institute seeks candidates
whose approach to teaching and research is innovative and inclusive in terms
of race, gender, class and ethnicity.
For rank of associate the candidate must show strong research skills and
potential for scholarly publications as demonstrated by presentations or
publications after blind peer review.
For rank of assistant we will consider ABD with expected completion by
January 2008 for this tenure track position.
For a non-tenure track assignment with rank of lecturer, candidate must have
MBA or equivalent.
PREFERRED: Strongly preferred characteristics include: Previous
professional and/or teaching experience, excellent oral and written
communications, ability to work in a team environment, and a willingness to
interact with professionals and executives in the business and academic
communities.
THE COLLEGE:
AACSB International accredited, the College of Business offers
bachelors degrees in business administration with majors in accounting,
finance, internationals business, management, management information
systems, and marketing. It is ranked in the top 100 by US News and World
Report. Graduate programs include an MBA, an Executive MBA, and Masters of
Science programs in Management and Finance. The Program for Innovation and
Entrepreneurship was ranked as one of the most innovative programs in the
world by Business Week. The College has approximately 45 full-time faculty,
500 graduate students, and 900 undergraduate students.
RIT attracts students from all 50 states and more than 90 countries. The
Rochester area has a diverse population includes African Americans (38% of
the city and 14% of Monroe County) and Latin Americans (13% of the city and
5% of the county). In addition, more than 7% of the population is foreign
born. Rochester is ranked 7th among the "10 Best Cities to Raise a Family"
by Child Magazine, 2003. Rochester is ranked 8th among 200 metro areas in
childcare for "Best Cities for Women 2002" by Ladies Home Journal, 2003."
SALARY: Competitive
APPLICATION PROCEDURE:
Send letters of interest, vita, and contact information from three
references to:
Dean Ashok Rao
Chair, Faculty Search Committee
Rochester Institute of Technology
College of Business
Rochester, NY 14623-5608.
.
Review of applications will begin in April 2007 and continue till the
position is filled.
Email applications welcome.
The Rochester Institute of Technology is an equal opportunity/affirmative
action employer. Members of protected classes and individuals with the
ability to contribute in meaningful ways to the university's continuing
commitment to cultural diversity, pluralism, and individual differences are
encouraged to make application.
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FACULTY POSITION POSTING FORM
Rochester Institute of Technology
College of Business
JOB TITLE: Instructional Faculty PC #2027
and RANK: Lecturer /Assistant / Associate
DEPARTMENT: Business
JOB CATEGORY: 0Administrative Faculty
X Faculty, Tenure Track
X Faculty, Non- Tenure Track
STARTING DATE: September 2007
DESCRIPTION:
Responsibilities include teaching graduate and undergraduate classes in
Accounting, Entrepreneurship, Business Fundamentals and possibly elective
courses in New Product Development, Supply Chain Management, and/or Service
Operations. Typical teaching schedule will be two undergraduate or graduate
courses per quarter.
QUALIFICATIONS:
REQUIRED: Candidates must hold Ph.D. in Business Administration (with
research interests aligned to Technology Innovation or International
Management) or a closely related discipline from an AACSB accredited
institution for a tenure track appointment. Candidates must be committed to
excellence in teaching, research and service. The Institute seeks
candidates whose approach to teaching and research is innovative and
inclusive in terms of race, gender, class and ethnicity.
For rank of associate the candidate must show strong research skills and
potential for scholarly publications as demonstrated by presentations or
publications after blind peer review.
For rank of assistant we will consider ABD with expected completion by
January 2008 for this tenure track position.
For a non-tenure track assignment with rank of Lecturer, candidate must have
MBA or equivalent.
PREFERRED: Strongly preferred characteristics include: Previous
professional and/or teaching experience in Accounting, excellent oral and
written communications, ability to work in a team environment, and a
willingness to interact with professionals and executives in the business
and academic communities.
THE COLLEGE:
AACSB International accredited, the College of Business offers
bachelors degrees in business administration with majors in accounting,
finance, internationals business, management, management information
systems, and marketing. It is ranked in the top 100 by US News and World
Report. Graduate programs include an MBA, an Executive MBA, and Masters of
Science programs in Management and Finance. The Program for Innovation and
Entrepreneurship was ranked as one of the most innovative programs in the
world by Business Week. The College has approximately 45 full-time faculty,
500 graduate students, and 900 undergraduate students.
RIT attracts students from all 50 states and more than 90 countries. The
Rochester area has a diverse population includes African Americans (38% of
the city and 14% of Monroe County) and Latin Americans (13% of the city and
5% of the county). In addition, more than 7% of the population is foreign
born. Rochester is ranked 7th among the "10 Best Cities to Raise a Family"
by Child Magazine, 2003. Rochester is ranked 8th among 200 metro areas in
childcare for "Best Cities for Women 2002" by Ladies Home Journal, 2003."
SALARY: Competitive
APPLICATION PROCEDURE:
Send letters of interest, vita, and contact information from three
references to:
Dean Ashok Rao, Chair, Faculty Search Committee
Rochester Institute of Technology
College of Business
Rochester, NY 14623-5608.
.
Review of applications will begin in March 2007 and continue till the
position is filled.
Email applications welcome.
The Rochester Institute of Technology is an equal opportunity/affirmative
action employer. Members of protected classes and individuals with the
ability to contribute in meaningful ways to the university's continuing
commitment to cultural diversity, pluralism, and individual differences are
encouraged to make application.
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College of Business
Oregon State University
The College of Business at Oregon State University invites applicants for
two nine-month, tenure track positions in Entrepreneurship at the rank of
Assistant or Associate Professor (depending on qualifications) to begin
September 2007.
Primary teaching responsibilities involve delivering undergraduate and
graduate courses in entrepreneurship and innovation. Scholarly activities
are expected to result in peer-reviewed journal publications. Service
includes engaging with Austin Entrepreneurship Program activities and
contributing to the College and University strategic initiatives.
Salary is competitive and commensurate with education and experience.
Employee benefits are excellent. Required qualifications for assistant or
associate professor include an appropriate earned doctorate with an emphasis
in entrepreneurship or a related field and a record of significant evidence
of potential for research and scholarly publication. Relevant teaching
experience at the college/university-level is also required. Preference will
be given to candidates who have academic or professional experience in
entrepreneurship, innovation, or the commercialization of technology. While
not required, applicants with undergraduate or graduate degrees in
technology-related disciplines are particularly encouraged to apply.
To apply, applications must be submitted using the university's on-line
application process located at web:
http://jobs.oregonstate.edu/applicants/Central?quickFind=51027. For full
consideration, applications should be received by April 15, 2007.
Candidates should submit a (1) letter of interest that clearly indicates the
applicant's interest in the entrepreneurship position, (2) a vita, (3) the
names, addresses, and telephone numbers of three references, (4) summary
information on courses taught and student evaluations, and (5) a brief
statement that describes research interests and teaching philosophy.
For more information, please contact Cheryl Hoflich via e-mail at:
Hoflichc@bus.oregonstate.edu, Telephone: (541) 737-4276. FAX: (541)
737-6023. See full position announcement at
http://oregonstate.edu/jobs.
OSU is an AA/EOE, and has a policy of being responsive to dual-career needs.
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Research Discussions:
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I am a PhD student gathering data for my dissertation. I have a survey
that asks members or past members of virtual teams a series of questions
relating to perception of team trust. The survey goes on to ask questions
regarding the communications technology used by team members to collaborate
on team work. If you work in a virtual team environment please respond to
this request and share it with anyone you know who works in a similar
environment. It takes about 4 minutes to complete.
Please view the following link to take the survey.
http://www.surveymonkey.com/s.asp?u=550102863362
If you would like a report of the results, click the "I want a report
button" at the end of the survey.
Thank you.
Steve Clayden
Gateway Community College
clayden@gatewaycc.edu
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Drew Gold, Ph.D.
Recovering Former Assistant Professor
Moore School of Business
University of South Carolina
813-226-7630 (business)
813-226-7631 (personal)
drew.gold@moore.sc.edu
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