Program Overview

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Professional Certificate in Network Psychometrics for Behavioral and Social Scientists

Overview

The Professional Certificate (PC) in Network Psychometrics for Behavioral and Social Scientists comprises two workshops that aim to provide expert guidance for researchers and practitioners interested in learning the basics of network modeling for social science.

This professional certificate will:

• Provide instructors of undergraduate and graduate level courses with a new foundational skillset in data analysis.
• Provide researchers in all phases of their career with the necessary knowledge and skills to use network models in their research.
• Further appeal to clinical practitioners and other professionals in a similar role, as network psychometrics is especially seen as a useful tool to investigate mental health and mental disorders.

Mode of Delivery and Assessment

Mode of Delivery

The mode of delivery is face-to-face workshops with 4h teaching sessions and 3h practical/seminar style sessions. All participants will receive their own copy of the Network Psychometrics with R: A Guide for Behavioral and Social Scientists textbook.

Assessment

Learners will be assessed in the following ways:

• (Group) presentations
• In-class quizzes
• Reflection assignments

Target Audience

This professional certificate is designed to meet the needs of:

• Instructors of undergraduate and graduate level courses looking to set-up a course on Network Psychometrics at their institution
• (Established) researchers looking to master new methodological skills
• Clinical practitioners and other professionals in a similar role interested in expanding their research agendas

Entry Requirements

There are no formal entry requirements. It would be beneficial if participants had some familiarity with R.

Application

• Course application closes 2 weeks prior to course commencement.
• Every professional certificate comprises two unique workshops. Learners will be awarded a professional certificate when they complete both workshops, and apply to the NUS Department of Psychology for the professional certificate.
• The maximum candidature period that learners must complete both workshops to be awarded the professional certificate is 36 months.
• Learners can choose not to stack both workshops into a professional certificate, but register for single workshops.
• There is no limit to the number of workshops that learners can attend.

Course Fees

• Fees Description | Singapore Citizens | Singapore PRs | Enhanced Training Support for SMEs | International Participants
  • Workshop I: Network Psychometrics: Foundations, Theory, and Cross-sectional Data Analysis | $1,275.00 | $765.00 | $1,275.00 | $765.00 | $2,550.00
  • Workshop II: Network Psychometrics: Longitudinal Data Modelling | $1,275.00 | $765.00 | $1,275.00 | $765.00 | $2,550.00
  • *Total: | $2,550.00 |$1,530.00 |$2,550.00 |$1,530.00 |$5,100.00

Course Structure and Details

Workshop I: Network Psychometrics: Foundations, Theory, and Cross-sectional Data Analysis

Course Synopsis

This workshop will focus on both theoretical foundations of network psychometrics and modeling techniques developed from this perspective.

Learning Outcomes

After completing this workshop, attendees will be able to:

• Understand the theoretical foundations behind network psychometrics
• Carry out basic programming in R
• Explain the differences between social network analysis and network psychometrics
• Compute network metrics common in the field
• Draw an implied Markov Random Field (MRF) given a certain causal structure
• Be familiar with Gaussian Graphical Models (GGMs), Ising models, and Mixed Graphical Models
• Interpret MRFs in different ways (causal, predictive)
• Estimate unconstrained MRFs from cross-sectional data
• Understand the differences between pruning, model selection, and regularization
• Estimate MRFs using different estimation algorithms and understand which algorithm should be preferred for which setting
• Apply permutation tests to check differences between two groups
• Apply bootstrapping to assess the stability of network model parameters

Dates and Time

• Day 1: 8 Dec 2025
• Day 2: 9 Dec 2025
• Day 3: 10 Dec 2025 Classes will be conducted from 9 am to 5 pm.

Venue

Classes will be conducted face-to-face in the Faculty of Arts and Social Sciences, NUS.

About The Trainer

Dr Adela Isvoranu
Assistant Professor, National University of Singapore

Workshop II: Network Psychometrics: Longitudinal Data Modeling

Course Synopsis

This workshop will focus on longitudinal data modeling in the context of network psychometrics.

Learning Outcomes

After completing this workshop, attendees will be able to:

• Understand when to use single measurement, panel, and intensive time-series data
• Explain the difference between within-subject effects and between-subject effects
• Estimate vector-autoregression models from longitudinal data
• Critically assess the interpretation from longitudinal data analyses
• Understand the basics of multi-level analysis
• Estimate personalized network models from single subject time-series
• Estimate multi-level network models from time-series data of multiple participants
• Estimate network models from panel data
• Incorporate latent variable and measurement errors in (longitudinal) network models

Dates and Time

• Day 1: 11 Dec 2025
• Day 2: 12 Dec 2025
• Day 3: 13 Dec 2025 Classes will be conducted from 9 am to 5 pm.

Venue

Classes will be conducted face-to-face in the Faculty of Arts and Social Sciences, NUS.

About The Trainer

Dr Sacha Epskamp
Associate Professor, National University of Singapore

Department of Psychology

Faculty of Arts and Social Sciences
Block AS4, Level 2
9 Arts Link
Singapore

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