Rutgers catalogResearched guideSIRS history48 section records

01:830:200

Quantitative Methods In Psychology

PSYCHOLOGY

School 01 — New Brunswick School of Arts and Sciences
credits
4
Core
QQ, QR
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
10
Open snapshot
0 open in snapshot

Course guide

AI-generated overview

Course fingerprint 10 AI-generated signals

Difficulty

4/5
Why

The published course scope—a four-credit quantitative psychology requirement with QQ/QR designation, algebra/statistics preparation, and instructor-specific syllabi—sets the conceptual and/or technical challenge; the score is a cautious synthesis of that scope and its prerequisites.

Workload

4/5
Why

The official format is a multi-section course whose exact software, topics, and assessments should be verified in the current syllabus; that structure indicates the likely work pattern, while exact weekly time depends on the section.

Pacing

4/5
Why

The course covers a four-credit quantitative psychology requirement with QQ/QR designation, algebra/statistics preparation, and instructor-specific syllabi within one undergraduate term or sequence, so students should expect the listed concepts to build on one another quickly.

Projects

2/5
Why

Official materials emphasize a multi-section course whose exact software, topics, and assessments should be verified in the current syllabus; there is no clearly documented long build-style project requirement in the evidence reviewed.

Exams

4/5
Why

The official course materials reviewed do not publish a universal grading breakdown, so this signal is conservative and section-dependent.

Math

5/5
Why

The QQ/QR designation and quantitative-methods title make mathematical and statistical reasoning central, while the department notes elementary algebra or Statistics I preparation.

Memorization

3/5
Why

The course requires students to retain disciplinary terminology and linked processes; its official framing also calls for applying or interpreting those ideas, so the score is not a pure rote-memory estimate.

Abstraction

3/5
Why

The course asks students to reason about models, mechanisms, or structured applications, moving beyond isolated facts while staying tied to its disciplinary applications.

Prerequisites

4/5
Why

The published preparation is the prerequisites or foundation described by the department; gaps in that preparation are likely to increase the difficulty of the listed work.

Reading

3/5
Why

The source set describes lectures, practical work, and instructor-provided materials rather than a fixed heavy-reading requirement; section-specific reading may differ.

Topic breakdown

A practical chapter-by-chapter view from foundations to applications.

5 modules

Module 1

Quantitative language for psychology

Begin by identifying variables, measurement, data structures, and the kinds of questions quantitative methods can answer.

variablesquantitativelanguagepsychologybeginidentifying

Basic concept overview

Measurement precedes calculation

A sophisticated analysis cannot repair a poorly defined or invalid measure.

Variation is information

Spread and uncertainty are part of the result, not clutter around the mean.

Statistical significance is not practical importance

Effect size, design, and context determine how meaningful a finding is.

Assumptions are part of the method

A result should be interpreted alongside the conditions that make the analysis reasonable.

Things to watch for

Plugging numbers into a formula blindly

Name the research question, variables, and assumptions before calculating.

Equating correlation with causation

Ask how the study was designed and what alternative explanations remain.

Reporting only a p-value

Include direction, magnitude, uncertainty, and substantive interpretation.

Fall 2026 sections

0 open · College Avenue, Online

SectionStatusInstructorMeetingCampus
0113736ClosedKilianski, VERO, JOEMonday 2:00 PM-3:20 PM at VH 105; Wednesday 2:00 PM-3:20 PM at VH 105; Tuesday 12:10 PM-1:30 PM at MU 210VH 105MU 210College Avenue
0213737ClosedVERO, JOE, KilianskiMonday 2:00 PM-3:20 PM at VH 105; Wednesday 2:00 PM-3:20 PM at VH 105; Tuesday 2:00 PM-3:20 PM at MU 213VH 105MU 213College Avenue
0313738ClosedBOOKER, NOAH, KilianskiMonday 2:00 PM-3:20 PM at VH 105; Wednesday 2:00 PM-3:20 PM at VH 105; Wednesday 12:10 PM-1:30 PM at FH B3VH 105FH B3College Avenue
0413739ClosedBOOKER, NOAH, KilianskiMonday 2:00 PM-3:20 PM at VH 105; Wednesday 2:00 PM-3:20 PM at VH 105; Tuesday 5:40 PM-7:00 PM at COR 101VH 105COR 101College Avenue
0513740ClosedKilianski, YANOVSKY, SONIAMonday 2:00 PM-3:20 PM at VH 105; Wednesday 2:00 PM-3:20 PM at VH 105; Tuesday 7:30 PM-8:50 PM at FBO 108VH 105FBO 108College Avenue
1013741ClosedYAO, AIJIA, NICOLAS FERREIRLEC; Wednesday 12:10 PM-1:30 PM at LSH A142LSH A142Online
1113742ClosedYAO, AIJIA, NICOLAS FERREIRLEC; Wednesday 10:20 AM-11:40 AM at TIL 226TIL 226Online
1213743ClosedNICOLAS FERREIR, HART, SHANNONLEC; Thursday 7:30 PM-8:50 PM at BRR 5105BRR 5105Online
9013744ClosedYANOVSKY, SONIA, NICOLAS FERREIRLEC; Tuesday 5:40 PM-7:00 PMOnline
9113745ClosedNICOLAS FERREIR, HART, SHANNONLEC; Thursday 5:40 PM-7:00 PMOnline
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

3.89

Course quality

3.77

Response rate

37.3%

Coverage

85 offerings · 2016–2025

InstructorOfferingsTeachingQuality
Kilianski313.723.63
Nicolas Ferreira, Gandalf144.324.13
Kilianski S.83.833.79
Kilianski Stephen63.603.53
Rubinstein Rachel54.704.38
Rubinstein, Rachel34.834.40

Course stats

Catalog and planning context

Credits

4

Current campuses

College Avenue, Online

Current availability

0 open of 10

Catalog terms

Fall, Spring, Summer

Core codes

QQ, QR

Loaded terms

5

Prerequisites

Any Course EQUAL or GREATER Than: (01:640:025)

Degree requirement lists

No direct degree-list membership appears in the checked-in requirement index.

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