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research methods

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Model Perspective
Model Perspective
Apr 3, 2024 · Fundamentals

Understanding Mediation vs. Moderation: Key Concepts for Empirical Research

This article clarifies the difference between mediation and moderation effects, explaining how each variable relationship works, illustrating with practical examples, and showing why mastering these statistical tools is essential for interpreting and designing empirical research.

empirical studymediationmoderation
0 likes · 5 min read
Understanding Mediation vs. Moderation: Key Concepts for Empirical Research
Model Perspective
Model Perspective
Jan 6, 2024 · Fundamentals

Unlock Causal Insights: How Regression Discontinuity Design Works

Regression Discontinuity Design (RDD) leverages a predefined cutoff to compare individuals on either side, mimicking random assignment and allowing researchers to infer causal effects when randomized experiments are infeasible, with applications ranging from education scholarships to tax policies.

RDDcausal inferencepolicy analysis
0 likes · 7 min read
Unlock Causal Insights: How Regression Discontinuity Design Works
Model Perspective
Model Perspective
Nov 16, 2023 · Fundamentals

Unlocking Math Mastery: 9 Timeless Lessons from Shing‑Tong Yau

The article distills nine key learning principles from Shing‑Tong Yau’s experiences, covering academic attitude, foundational skill building, interdisciplinary study, independent thinking, and scholarly communication, offering practical guidance for anyone aiming to excel in mathematics and related fields.

Interdisciplinaryeducationlearning
0 likes · 10 min read
Unlocking Math Mastery: 9 Timeless Lessons from Shing‑Tong Yau
Model Perspective
Model Perspective
Sep 17, 2023 · Fundamentals

Why Correlation Isn’t Causation: Methods to Reveal True Relationships in Data

This article explains the difference between correlation and causation, illustrates common misconceptions with real‑world examples, and introduces statistical tools such as randomized experiments, instrumental variables, propensity score matching, and difference‑in‑differences that help researchers uncover genuine causal effects in mathematical modeling.

causal inferencecausalitycorrelation
0 likes · 9 min read
Why Correlation Isn’t Causation: Methods to Reveal True Relationships in Data
Model Perspective
Model Perspective
Feb 26, 2023 · Fundamentals

How to Quickly Master an Unfamiliar Field for Math Modeling

This guide explains practical steps—defining goals, gathering keywords, using search engines, academic papers, books, and AI tools like ChatGPT—to rapidly understand a new domain such as drought‑affected plant communities and build a mathematical model for competition dynamics.

Python simulationdroughtecology
0 likes · 12 min read
How to Quickly Master an Unfamiliar Field for Math Modeling
Model Perspective
Model Perspective
Nov 23, 2022 · Fundamentals

Why Power Analysis Is Essential for Reliable Research Results

This article explains the importance of power analysis in hypothesis testing, illustrates how insufficient sample size can mask true effects, demonstrates calculating required sample sizes for desired power, and highlights the trade‑off between Type I and Type II errors in experimental design.

hypothesis testingpower analysisresearch methods
0 likes · 4 min read
Why Power Analysis Is Essential for Reliable Research Results
Model Perspective
Model Perspective
Jun 23, 2022 · Fundamentals

How to Write a Winning Math Modeling Competition Paper: Structure & Tips

This guide outlines the essential seven-section structure of a mathematics modeling competition paper, offers detailed advice on crafting an effective abstract, and provides step‑by‑step instructions for writing each core component—from problem restatement and assumptions to model building, solution, evaluation, references, and appendices.

abstractmathematical modelingmodel building
0 likes · 14 min read
How to Write a Winning Math Modeling Competition Paper: Structure & Tips
Architects' Tech Alliance
Architects' Tech Alliance
Jul 30, 2019 · R&D Management

Information Collection Techniques for Industry Research

The article outlines systematic approaches and practical tips for conducting industry research, covering the overall research framework, step‑by‑step information‑gathering methods, categorisation of data sources, efficiency‑boosting tactics, and best practices for deep interviews to derive actionable business insights.

consultingdata collectionindustry research
0 likes · 15 min read
Information Collection Techniques for Industry Research