Research Methods Simulations
A collection of interactive 3D visualizations and simulations to help you master concepts in research methods.
Introduction to Research Methods - Theory & Concepts - Research Process
An overview of research methods, defining the purpose of research, types of research, philosophical foundations, and the general research process.
Interactive Research Process
Identify Problem
Recognize a gap in knowledge or a practical issue.
Formulating the Research Problem - Theory & Concepts - Research Gap
Identifying research gaps, writing problem statements, setting objectives and questions using the FINER, PICO, and SMART frameworks.
Identifying Research Gaps
Existing Knowledge (The Literature)
- Compressive strength of standard concrete
- Basic properties of steel rebar
The Research Gap (What is Unknown)
- Long-term durability of 3D-printed concrete in marine environments
- Self-healing concrete performance under extreme freeze-thaw cycles
Literature Review - Theory & Concepts - Literature Screening
Purpose and scope of a literature review, Boolean search strategies, systematic and scoping literature reviews, Reference Management Software, and avoiding plagiarism.
Literature Screening Process (PRISMA Flow)
Click through to simulate the systematic screening of academic literature.
Initial Search Results
Results from Scopus, Web of Science using broad keywords.
Papers
Title & Abstract Screening
Papers
Full-Text Review
Papers
Final Inclusion
Papers
Research Design and Methodology - Theory & Concepts - Sampling Methods
Understanding experimental, non-experimental, and mixed-methods research designs, along with civil engineering-specific data collection and sampling techniques.
Interactive Sampling Methods
Total Population: 100
Sample Size Selected: 0
Validity and Reliability - Theory & Concepts - Validity Reliability
Defining validity and reliability, measurement errors, types of validity (construct, content, criterion), and understanding Type I and Type II errors.
Validity vs. Reliability Target Simulation
Select a scenario to visualize how data points group on a target. The bullseye represents the true value (Valid). Grouping tightly represents consistency (Reliable).
The points are scattered everywhere. You are neither hitting the bullseye nor hitting the same spot consistently.
Data Analysis and Interpretation - Theory & Concepts - Data Distribution
Statistical methods for civil engineering research, including descriptive and inferential statistics, hypothesis testing, regression analysis, machine learning, and software tools.
Measures of Central Tendency Explorer
Select a data distribution to see how the Mean, Median, and Mode are affected. Notice how extreme values (outliers) in skewed distributions pull the mean away from the median and mode.
Relationship: Mean = Median = Mode
Data Analysis and Interpretation - Theory & Concepts - Hypothesis Testing
Statistical methods for civil engineering research, including descriptive and inferential statistics, hypothesis testing, regression analysis, machine learning, and software tools.
Interactive Hypothesis Testing (One-Tailed)
Drag the slider to change the obtained sample mean and observe the p-value.
t-statistic
3.16
p-value
0.0046
Conclusion
Reject H₀
Result is Statistically Significant
Writing and Presenting Research - Theory & Concepts - Citation Style
The IMRaD structure of research reports, citation styles, grant proposals, peer-review process, Open Access vs. Traditional publishing, and plagiarism checking.
Citation Style Visualizer
The compressive strength of concrete increases with the addition of fly ash (Smith and Jones 2023).
Smith, J. A., and Jones, B. C. (2023). "Effects of fly ash on concrete compressive strength." J. Mater. Civ. Eng., 35(12), 04023150.
Key Features of ASCE
Standard for civil engineering publications.
- Author-Date system
- Alphabetical reference list
- Article titles in quotes
- Journal names abbreviated and italicized
Design of Experiments and Optimization - Theory & Concepts
Advanced experimental design techniques, including factorial design, ANOVA, Taguchi methods, and specific Response Surface Methodology (RSM) designs like CCD and BBD.
Response Surface Methodology (RSM) Optimization
Adjust the Temperature and Pressure variables to find the optimal settings that maximize the Material Strength.
Design of Experiments and Optimization - Theory & Concepts - Taguchi Loss
Advanced experimental design techniques, including factorial design, ANOVA, Taguchi methods, and specific Response Surface Methodology (RSM) designs like CCD and BBD.
Taguchi Loss Function Simulator
Adjust the actual measured thickness of the bridge bearing. Notice how the loss increases quadratically as you deviate further from the ideal target value of .
Calculation Parameters
- Target Value (): 20.0 mm
- Loss Coefficient (): $2000/mm²
- Deviation (): 0.20 mm
Mathematical Model
Calculated Hidden Loss
Cost incurred due to variation from the ideal target.