The Department of Government
The Department of Government

Pamela Paxton


Affiliated Faculty, Adjuncts and LecturersPh.D., University of North Carolina at Chapel Hill

Affiliated Faculty
Pamela Paxton

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Courses


SOC 321K • Effective Philanthropy

44525 • Spring 2016
Meets MW 4:00PM-5:30PM GDC 2.502

Description

Effective philanthropy requires understanding the nonprofit sector as well as individual motivations to give and volunteer. At the same time, nonprofits need fundraising professionals to meet their financial goals. Effective Philanthropy: Fundraising and Nonprofit Advancement is designed to meet both goals by introducing students to theories of the nonprofit sector and individual prosocial behaviors like giving and volunteering, while also introducing the components of a successful development program and basic principles and techniques of fundraising. Students will learn theories and research on the nonprofit sector and prosocial motivations and behavior from Professor Pamela Paxton. Simultaneously, students will receive practical instruction from Adrian Matthys and other fundraising professionals in the local nonprofit community on all aspects of effective fundraising and stewardship, from building a solid base of annual contributors to cultivating relationships with major gift prospects. Attention will also be given to behind-the-scenes activities required to have a successful fundraising operation, including appropriate donor stewardship, prospect research, database maintenance, and donor analytics. Students will be exposed to the best practices of fundraising teams at all levels. The course will further provide students with unique hands-on experience raising money, with the assistance of professional fundraising from the UT Austin Office of Development, to be given away to charities through the paired Philanthropy: The Power of Giving course.

Note:  Professor consent required.

 

SOC 385L • Socl Stat: Lin Mod/Strc Eq Sys

45125 • Spring 2015
Meets M 3:00PM-4:30PM CLA 2.606

Description:

Linear regression and related models are routinely used in social scientific research.  This course provides an introduction to this class of models.  It will cover functional form, interactions, diagnostic techniques, and violations of the regression assumptions.  Later sections of the course will cover multi-equation systems including recursive and nonrecursive systems.  Analysis with limited dependent variables will also be introduced.  The course will emphasize the methods behind the procedures, practical experience with the techniques, and the interpretation of results.  

SOC 385L • Socl Stat: Lin Mod/Strc Eq Sys

46555 • Spring 2014
Meets MW 3:00PM-4:30PM CLA 1.404

Description:

Linear regression and related models are routinely used in social scientific research.  This course provides an introduction to this class of models.  It will cover functional form, interactions, diagnostic techniques, and violations of the regression assumptions.  Later sections of the course will cover multi-equation systems including recursive and nonrecursive systems.  Analysis with limited dependent variables will also be introduced.  The course will emphasize the methods behind the procedures, practical experience with the techniques, and the interpretation of results.  

SOC 385L • Socl Stat: Lin Mod/Strc Eq Sys

45910 • Spring 2013
Meets MW 3:00PM-4:30PM CLA 1.404
(also listed as SSC 385)

Linear regression and related models are routinely used in social scientific research.  This course provides an introduction to this class of models.  It will cover functional form, interactions, diagnostic techniques, and violations of the regression assumptions.  Later sections of the course will cover multi-equation systems including recursive and nonrecursive systems.  Analysis with limited dependent variables will also be introduced.  The course will emphasize the methods behind the procedures, practical experience with the techniques, and the interpretation of results.  

SOC 385L • Socl Stat: Lin Mod/Strc Eq Sys

45695 • Spring 2012
Meets MW 3:00PM-4:30PM BUR 136
(also listed as SSC 385)

Linear regression and related models are routinely used in social scientific research.  This course provides an introduction to this class of models.  It will cover functional form, interactions, diagnostic techniques, and violations of the regression assumptions.  Later sections of the course will cover multi-equation systems including recursive and nonrecursive systems.  Analysis with limited dependent variables will also be introduced.  The course will emphasize the methods behind the procedures, practical experience with the techniques, and the interpretation of results.  

Curriculum Vitae


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  • Department of Government

    The University of Texas at Austin
    158 W 21st ST STOP A1800
    Batts Hall 2.116
    Austin, TX 78712-1704
    512-471-5121