Services Details
Methodology & Research Design Services
Validity Assessment
Rigorously evaluate internal, external, construct, or other forms of validity in your proposed experiment.
Power Analysis
Ensure your studies are adequately powered to detect the expected phenomenon.
Psychometrics
Build and assess questionaries which measure observable or latent phenomena with accuracy and precision.
Implementation Science
Assess and mitigate problems with logistics and delivery of a program for the first time or in a new location.
Program Evaluation
Quantify the impact of a pre-existing program on financial, behavioral, or self-report outcomes.
Analytic Services
Analytic Services represent the largest and most defined branch of Parameter Analytics. If it can be quantified in a table—numerical or otherwise—we can analyze it.
All analytic models are accompanied by:
Visualizations
Coefficients
Model-adequacy tables
In-depth & summative interpretations
Abstracts & Corporate “TLDRs”
Here, we provide a list of models, approaches, and frameworks frequently used by our analysts.
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Group Comparisons
Multiple Regression
Logistic Regression
Mediation
Moderation & Interactions
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Clustered & Nested / Hierarchical Data
Differential Treatment Effects
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Path Analysis & Indirect Effects
Invariance Testing
Growth & Growth Mixture Models
Latent Class Analysis (LCA) and Latent Transition Analysis (LTA)
Cross-Lagged Panel Models
Multiple Outcome Models
Exploratory Factor Analysis
Confirmatory Factor Analysis
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Missing at Random (MAR) & Missing Completely at Random (MCAR) diagnostics
Imputation, Multiple Imputation & Pooling Estimates across Imputations
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Rasch Models
1-, 2-, and 3- Parameter Logistic (PL) models
Differential Item Functioning
Test Information Functions (TIF)
Item Characteristic Curves (ICC)
Test Characteristic Curves (TCC)
Vertical Scaling
Estimation of New Item Difficulties
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Recursive Partitioning Extensions (Decision Tree, Random Stump, Random Forest)
Unbiased Recursive Partitioning Extensions
Bootstrap Aggregating
Neural Networks
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Generalized Linear Mixed Effects Model Regression (GLMM) Trees
Stochastic Mixed Effects Random Trees & Forests (SMERTs & SMERFs)
Restricted Expectation Maximization (RE-EM) Trees & Forests
Gradient Boosted Regression
Penalized Regression
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Training Statistical & Machine Learning from scratch
Model Calibration & Hyperparameter Tuning
Auto-Calibrating & Hyperparameter Optimizing Systems
Fine Tuning Large Language Models
Data Engineering & App Development Services
Database Creation, Hosting, & Management
Containerized Application Development, Maintenance, & Hosting
Bare Metal & Cloud Computing Solutions
Local & Private Large Language Models (LLMs)
Multimodal & Retrieval Augmented Generation (RAG) Models
Chain- & Graph-Based AI Agents
Contact Us Today
Ready to unlock the power of your data?
Contact us today to discuss your project and learn how Parameter Analytics can help you achieve your goals.