Adjunct Faculty - Research Methods - DC Campus

Job Description:

Founded in 1979, The Chicago School is an independent professional graduate school with a dynamic student body and a professionally accomplished faculty. Our curriculum and training opportunities prepare graduates to deliver outstanding professional services emphasizing the ability to understand and work with diverse populations.

Position Summary:

The Business Psychology Department is seeking highly qualified candidates for adjunct faculty positions to join our current dynamic faculty who are utilizing the engaged practitioner model to facilitate our doctoral-level courses focused on quantitative and qualitative research methodology.

The Research Methods course focuses on the appropriate methodologies for program and intervention outcome analysis, linkage research, and model testing. Specific attention will be paid to organizational measurement and assessment for the purpose of demonstrating the effectiveness of organizational interventions on desired outcomes such as customer retention, return on investment, and organizational effectiveness.

The Qualitative Research Methods course examines the methods that can be credibly employed to examine cultural and cross-cultural research in psychology. Topics include: qualitative design frameworks, establishing trustworthiness and credibility, threats to trustworthiness and mediation strategies, data collection, data analysis, and results reporting.

The Statistics and Lab course presents the descriptive and inferential statistical techniques used in decision making. This course also examines problem-solving research methods currently used in organizational and industrial psychology. Students will apply univariate and multivariate statistics using computer programs designed to fulfill the needs of practitioners to address real organizational problems using research methods. This course is delivered in a blended format, where students complete the "lecture" portion of the class online and the lab portion either in a classroom for campus based students in webinar format for distance learning students.

The Advanced Statistics course focuses on how to effectively use statistics to make effective decisions in research and practice. The objective is to help students learn how to use statistics to draw conclusions about applied problems. The approach will be to help students discover how to use statistics to frame the questions they ask and examine the answers they get. This is a 'thinking' course about understanding derived information to solve problems more than a 'formula' class about assessing data. Advanced multivariate methods will be explored as ways in which students can creatively explore organization conditions, examine interrelationships, and draw actionable conclusions.

Courses run 14 weeks in fall and spring semesters, and 8 weeks in the summer.
Note: The courses are offered on a rotating-semester basis per program needs, so the position may be for an immediate or later semester.

Principle Duties:

Engage students in research methodology curriculum through discussion and assignments as outlined in the course syllabi. Provide students substantive feedback and respond to student questions and concerns in a timely manner. Maintain communication with department administration, faculty, and students.

Position Qualifications:

• Doctoral degree in from a regionally-accredited institution
• Strong commitment to academic excellence, research, community service, and diversity
• Experience teaching or publishing quantitative/qualitative methodology, research design & methodology
• Good command of statistics

The department seeks an individual who has the ability and interest in contributing to a community committed to student-centeredness, professional development and scholarship, integrity and ethics, respect for diversity and pluralism, innovation, flexibility, and teamwork and collaboration. Candidates who will advance equity, diversity, and inclusion through their teaching, scholarship, and service are strongly encouraged to apply.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

This job posting, and all others for adjunct faculty roles with The Chicago School, are posted as "evergreen" roles. This means that there is usually an ongoing need for departments to hire 1-2 adjuncts each semester (usually for teaching specialized topics), and they prefer to keep a running pool of applicants to select from when the need to hire arises. Given this information, please note that your application to our evergreen roles will be reviewed on an as needed basis and you may not hear back immediately. If you would like an update on your application status, you can email National-HR@thechicagoschool.edu. We sincerely appreciate your interest in working with us and hope this won't deter you from continuing to submit your application for any current or future roles you may be interested in.

Compensation & Benefits

This opportunity is budgeted at $1,124-1,540 per credit and may vary per course with student enrollment. Additional compensation factors may impact total compensation. To learn more about our competitive benefits and additional rewards, including generous paid time-off, medical and dental insurance coverage, life and disability insurance, retirement plan with employer contribution, multiple flexible spending accounts, tuition reimbursement, click the link below.

https://www.thechicagoschool.edu/career-opportunities/

The Chicago School is an Equal Opportunity Employer.

Please note: For the protection of faculty, staff, students, and all who enter our facilities, The Chicago School strongly recommends that all employees are fully vaccinated for COVID-19 per CDC guidance.