At NovaMetrica, we offer expert statistical consulting and data science support across all stages of the research process. Whether you're designing a study from scratch or analyzing complex datasets, our team delivers rigorous, customized statistical solutions aligned with your research goals, organizational needs, and decision-making contexts.
Our consultants are trained in both frequentist and Bayesian statistical approaches, as well as advanced psychometric theories including Classical Test Theory (CTT), Item Response Theory (IRT), and Generalizability Theory (G-Theory). We bring technical depth, domain-specific understanding, and robust statistical programming skills to ensure data-driven insights you can trust.
Descriptive & Inferential Statistics
We provide comprehensive support for:
Frequency tables and summary statistics
Exploratory Data Analysis (EDA)
Parametric tests (e.g., t-tests, ANOVA)
Nonparametric tests (e.g., Mann-Whitney U, Kruskal-Wallis)
Log-linear analysis for categorical data models
Sampling Design & Analysis
Our team assists in creating efficient and representative sampling frameworks, including:
Stratified, clustered, and multi-stage sampling
Weighting and post-stratification
Design-based inference for survey research
Statistical Modeling & Estimation
We develop models that suit your research design and data structure, including:
Linear Models (LM)
Generalized Linear Models (GLM) (e.g., logistic, Poisson regression)
Multivariate analyses:
MANOVA-based techniques
Discriminant Function Analysis
Canonical Correlation Analysis
Dimensionality Reduction & Latent Structure
We help uncover underlying structures in your data through:
Principal Component Analysis (PCA)
Exploratory and Confirmatory Factor Analysis
Structural Equation Modeling (SEM), including:
Path Analysis
Latent Trait Models
Multitrait-Multimethod Models (MTMM)
Latent Class Analysis (LCA)
Latent Transition Analysis (LTA)
Latent Outcome Curves (LOC)
Bayesian Methods
For studies involving complex or sparse data, we apply Bayesian inference techniques including:
Hierarchical Bayesian models
Bayesian structural modeling
Posterior estimation and credible intervals
Time Series Analysis
We offer expertise in modeling and forecasting time-dependent data, including:
Moving Average (MA)
Autoregressive (AR)
ARMA, ARIMA, SARIMA models
Seasonal decomposition and trend analysis
Data Management & Programming
Our data team ensures efficient data handling and reproducibility through:
Secure database creation and management
Data cleaning, coding, imputation, and transformation
Automation of statistical pipelines using R, Python, Stata, and SAS