Services Details

Methodology & Research Design Services

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Validity Assessment

Rigorously evaluate internal, external, construct, or other forms of validity in your proposed experiment.

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Power Analysis

Ensure your studies are adequately powered to detect the expected phenomenon.

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Psychometrics

Build and assess questionaries which measure observable or latent phenomena with accuracy and precision.

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Implementation Science

Assess and mitigate problems with logistics and delivery of a program for the first time or in a new location.

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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.

    • Group Comparisons

    • Multiple Regression

    • Logistic Regression

    • Mediation

    • Moderation & Interactions

    • Clustered & Nested / Hierarchical Data

    • Differential Treatment Effects

    • 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

    • Missing at Random (MAR) & Missing Completely at Random (MCAR) diagnostics

    • Imputation, Multiple Imputation & Pooling Estimates across Imputations

    • 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

    • Recursive Partitioning Extensions (Decision Tree, Random Stump, Random Forest)

    • Unbiased Recursive Partitioning Extensions

    • Bootstrap Aggregating

    • Neural Networks

    • 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

    • 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

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Database Creation, Hosting, & Management

Containerized Application Development, Maintenance, & Hosting

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Bare Metal & Cloud Computing Solutions

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Local & Private Large Language Models (LLMs)

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Multimodal & Retrieval Augmented Generation (RAG) Models

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Chain- & Graph-Based AI Agents

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Contact us today to discuss your project and learn how Parameter Analytics can help you achieve your goals.