APTPUO

Education

APTPUO-Fall2026-SOC3316A00

$0–0k Ottawa, Ontario, Canada PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“APTPUO - Fall 2026 - SOC3316 A00 at APTPUO. Skills: Statistical Analysis, Sociology, SPSS. Teach Statistical Analysis in Sociology (SOC3316). Overview of principal methods of statistical analysis and their appropriate use in sociology”

Industry & Context.

Education
Eligibility Requirements

Mandatory legislated training

What They're Looking For.

Must Have

M. A. in sociology and completed sociology Ph. D. coursework or a more advanced training in sociology, Demonstrable track record of expertise in the field of quantitative studies in the form of previous teaching experience in the same or similar course or through publications in the field, Demonstrate a practical knowledge of SPSS and the ability to teach it

What You'll Do.

Teach Statistical Analysis in Sociology (SOC3316)

Overview of principal methods of statistical analysis and their appropriate use in sociology

Articulation of theory and empirical evidence in the construction of a sociological argument

Critical outlook on the quantification of social phenomena and on the limits of data and methods

Statistical treatment of data: descriptive analysis

mediation and multiple linear regression

Introduction to weighting

and evaluation of the quality of estimates

Learning to use statistical software

Full Job Description

**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2026 Fall Semester _**Faculty:**_ Faculté des sciences sociales / Faculty of Social Sciences ** _Academic Unit:_** École d’études sociologiques et anthropologiques \\\ School of Sociological and Anthropological Studies _**Course Title:**_ Statistical Analysis in Sociology _**Course Code:**_ SOC3316 _**Section:**_ A00 _**Course Description:**_ Overview of the principal methods of statistical analysis and their appropriate use in sociology. Articulation of theory and empirical evidence in the construction of a sociological argument. Critical outlook on the quantification of social phenomena and on the limits of data and methods. Statistical treatment of data: descriptive analysis, bivariate analysis, causality, mediation and multiple linear regression. Introduction to weighting, inference, and evaluation of the quality of estimates. Learning to use statistical software. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/01 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/01 _**Expected Enrolment:**_ 52 _**Approval date:**_ 2026/05/01 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ B _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ Mercredi | Wednesday 19:00-22:00 - - In person ** _Requirements:_** M.A. in sociology and completed sociology Ph.D. coursework or a more advanced training in sociology. Demonstrable track record of expertise in the

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