Siyang Ni

Teaching

Teaching statistics as reasoning

Many students in an intermediate statistics course do not see themselves as quantitative people.

In my experience the main obstacle is rarely the mathematics. Courses often teach the software step by step but leave the reasoning behind a method unstated, so students learn which button produces a p-value before they learn what question it answers. I teach the reasoning first and introduce the software after.

Lecturing in SOC 470: Intermediate Social Statistics, Penn State, Fall 2025.
01

Reasoning before software

Students learn what question a method answers before they learn which command runs it.

02

Interpreting, not just running, models

In SOC 470, regression is taught as a way to interpret evidence, with less weight on executing procedures.

03

Methods others can use

The same goal shapes my research software: documented, open-source tools for the methods in my papers.

Courses

Teaching experience

Instructor of record·Fall 2025

SOC 470: Intermediate Social Statistics

Pennsylvania State University

Sole instructor: syllabus, lectures, assessment, and grading. The course covers estimation and inference through multiple regression, with an emphasis on interpreting models rather than running procedures.

Syllabus and course evaluations available on request.

Teaching assistant and tutor
SOC 575: Statistical Models for Nonexperimental Research Spring 2023 Pennsylvania State University·Graduate
CRIM 490: Crime Policy Fall 2023, Spring 2024 Pennsylvania State University·Undergraduate
Tutor, The Chinese University of Hong Kong 2017–2019 Policing and Society·Sociology of Crime and Deviance·Social Research Methods·Social Problems and Social Policy

Materials

Teaching materials

These are available on request. Use the contact form or email siyangni@psu.edu.

Request materials
  • Teaching statement Available on request
  • SOC 470 syllabus Available on request
  • Course evaluations Available on request