Events

About Our Conferences

OPEG is dedicated to providing educational experiences for our members and Evaluators throughout the region.  We hold three scheduled conferences each year.  

  • The Summer Stats Series provides training in specific statistical methods in an intense, limited capacity setting.The Summer Stats program provides free advanced statistics training opportunities and is open for members only. 
  • The Spring Exchange highlights a keynote speaker on a current topic of interest in evaluation, opportunities for OPEG members to share their evaluation work, the election of new Board members, and presentation of awards for contribution to both the field of evaluation and for service to OPEG. Check the event calendar to find out the year's theme and any particular year's criteria. Members are encouraged to submit abstracts for review.
  • The Fall Workshop features invited presenters to provide methodology, techniques, and technology to help evaluators improve skills and keep up with changes in evaluation practice.
See our Upcoming events listing below.  We are happy to share events from all over the region that may be of interest to our members.  Please let OPEG Board of Directors know know about any upcoming events you would like to list.

    Would you like to attend our Spring Exchange but need to get your employer to agree?  Download a copy of our letter explaining why attending will benefit both you and your employer!

    Organizations that require an updated W9 form for payment may download one here.


    Upcoming events

      • 03 Jun 2022

      Research Associate 1:  Ohio University’s Voinovich School of Leadership & Public Service

      THIS POSITION IS FUNDED VIA MULTIPLE GRANTS. EMPLOYMENT IS CONTINGENT UPON CONTINUED FUNDING FROM GRANT PROVIDERS. UP TO TWO POSITIONS MAY BE AVAILABLE.

      Individual sought to support the Voinovich School of Leadership and Public Service’s applied research such as program evaluation and needs assessments in health, education, and community social services. The Voinovich School works to find solutions to challenges facing communities, the economy, and the environment. As a key member of multidisciplinary project teams within The School and with external partners, this person will provide technical assistance, data analysis and program evaluation services to government and/or non-profit organizations throughout Ohio.

      Candidate must be highly self-motivated and able to work collaboratively within multiple project teams as well as work independently. Qualified candidates will have the ability to utilize database and statistical software programs to organize, manage and analyze data, interpret findings, and prepare reports summarizing findings using data visualization techniques and non-technical language, move multiple tasks forward simultaneously, learn new software and analytical methods as well as communicate effectively with project sponsors.

      The ideal candidate must have a high attention to detail and should have the ability to draw information from multiple sources to identify potential solutions for identified issues; skills in collecting data for tracking and reporting of project outcomes; ability to work with individuals from diverse backgrounds and perspectives to accomplish project goals; ability to establish and maintain collegial relationships with senior management, co-workers, project sponsors; ability to accurately communicate verbally and in writing to technical and non-technical audiences including project sponsors, stakeholders and other professionals; and the ability to travel to counties to meet with project stakeholders. Knowledge of social service sector within Southeast Ohio is a plus.

      Will consider applicants whose primary work setting is offsite but position requires on campus presence a minimum of once per quarter and a maximum of once per month.

      Minimum Qualifications

      Graduation from an accredited college or university with a master’s degree in field that includes quantitative and/or qualitative research methods such as behavioral science, social science, education or other related field, OR Bachelor’s Degree plus at least four (4) years of relevant knowledge and prior experience with public, private non-profit and social service organizations and systems.

      Access to reliable home internet to support remote work when needed. Driver’s license and ability to travel. Ability to work evenings and weekends if necessary to meet deadlines

      Preferred Qualifications

      Graduation from an accredited college or university with a master’s degree in field that includes quantitative and/or qualitative research methods such as behavioral science, social science, education or other related field, OR Bachelor’s Degree plus at least four years of relevant knowledge and prior experience with public, private non-profit and social service organizations and systems.

      Prior experience in conducting mixed methods applied research and/or program evaluation. Additionally, the ideal candidate has experience with SPSS or R.

      The position will remain open until filled. For full consideration, please apply by June 3, 2022 at:

      https://www.ohiouniversityjobs.com/postings/41543


      • 03 Jun 2022

      RESEARCH ASSOICATE 2 - Ohio University’s Voinovich School of Leadership & Public Service

      THIS IS A GRANT FUNDED POSITION. EMPLOYMENT IS CONTINGENT UPON CONTINUED FUNDING FROM THE GRANT PROVIDER. THERE MAY BE UP TO TWO (2) POSITIONS AVAILABLE.

      Will consider applicants whose primary work setting is offsite, but the position requires on-campus presence at a minimum of once per quarter and a maximum of once per month.

      The George V. Voinovich School of Leadership and Public Service at Ohio University is seeking a flexible, team player who will work with a multidisciplinary team of faculty, professional staff, and students to perform technical assistance, applied mixed methods research, project administration, oral presentations, & report writing in the areas of health/wellbeing and education.

      Qualified candidates will have the ability to utilize database and statistical and qualitative data analysis software programs to organize, manage and analyze data, interpret findings, and prepare reports summarizing findings using data visualization techniques and non-technical language, move multiple tasks forward simultaneously, learn new software and analytical methods as well as communicate effectively with project sponsors.

      Essential duties:

      Functions as a project manager for multiple project teams at one time including projects incorporating 3 or more staff/faculty members.

      Designs and conducts qualitative and quantitative applied research protocols incorporating data analysis, individual interview, focus group and survey instrumentation development and use.

      Communicates with project team-members, external stakeholders, and project sponsors. Analyzes results of research including written documentation and verbal presentations of findings. Identifies best practices and successful implementation strategies and disseminates the information. Takes leadership role in the development of responses to grant proposals and scopes of work as requested by manager.

      Strong verbal and written communication skills are required for applied research projects conducted at The School. The ideal candidate will have experience working in a team environment, have advanced problem-solving skills, and will be highly motivated to contribute to meaningful, applied research projects that create public value and solve real-world problems in the Ohio Appalachia region and beyond.

      Minimum Qualifications

      Graduation from an accredited college or university with a master’s degree in any field with at least four (4) years of relevant experience or Ph.D. plus a minimum of three (3) years of relevant experience.

      Knowledge and experience with public, private, non-profit and social service organizations and systems. Ability to use Excel and statistical software.

      Ability to work nights and weekends in order to meet project and reporting deadlines. Valid U.S. Driver’s license and ability to travel outside Athens area including overnight travel to conduct research and meet with project sponsors and research participants. Reliable home Internet for remote work when needed

      Preferred Qualifications

      The preferred candidate would have a PhD in a related field such as Educational Research and Evaluation.

      Additionally, the preferred candidate would have prior experience in conducting mixed methods, applied research and/or program evaluation and would have experience with SPSS or R as well as experience/expertise in capacity building evaluation.

      The position will remain open until filled. For full consideration, please apply by June 3, 2022 at https://www.ohiouniversityjobs.com/postings/41544


      • 07 Jul 2022

      Recognizing and Preventing Racial, Gender, and Age Biases in Cost-Inclusive Evaluations

      Led by the Washington Evaluators, July 7, 12:00pm - 1:00pm ET

      Working from a model of cost-inclusive evaluation (CIE) that includes program
      activities and processes, rather than just contrasting resources used by and outcomes produced by programs, this talk and discussion provides strategies for recognizing and reducing racial, gender, and age discrimination in CIE.

      Brief description of the Resources → Activities → Processes → Outcomes model of CIE reveals the potential for CIE to reveal inequities and discrimination in program funding, access to services, and non-monetary as well as monetary outcomes. Assumptions and practices that can foster biased CIE are illustrated with examples. Some methods of reducing or avoiding biased CIEs can be found in time-tested methods of program evaluation, particularly involvement of multiple interest group perspectives throughout the evaluation.

      Inclusion of program participants, consumers as well as providers is essential to reducing biases in CIE. Without consumer involvement, CIE can result in economic and racial discrimination in how and particularly where evaluations recommend that program services be delivered. Two quantitative examples show how inequities in provider and consumer income can yield biased CIE.

      Participants will be asked to describe additional drivers of biased and inequitable evaluation, and possible means of resolving those problems.

      If you have questions about this event, please email programs@washingtonevaluators.org


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