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Click Here To Contact Us For Expert Consultation on Statistical Analysis and Research Design

 

We provide expert statistical consulting on a wide variety of statistical procedures, including multivariate analyses and factor

analysis.  We are one of the few statistical consulting firms that can offer expert support in the use of such cutting-edge

methods as Structural Equation Modeling and Hierarchical Linear Modeling.  Our areas of expertise include the following:

 

Simple Inferential Statistics: Independent and Dependent (Paired) t-tests, Chi-Squared tests,  Correlation and Regression,

Phi Coefficients

 

Non-Parametric Statistics:  Mann-Whitney U Test, Wilcoxon Signed-Ranks Test,  Kruskal-Wallis Test, Fisher's Exact Test,

McNemar's Test, Friedman's Test

 

Psychometric Analyses: Cronbach's Alpha, Kuder-Richardson-21, Test-Retest Reliability, Item-Response Theory (IRT),

Scale Validation, Inter-Rater Reliability, Inter-Observer  Reliability, Kappa, Generalizability Theory

 

Biostatistics:  Incidence, Prevalence, Sensitivity, Specificity, Risk Ratios, Clinical Trials

 

Analysis of Variance:  One-Way ANOVA, Crossed and Nested ANOVA designs, Repeated Measures ANOVA,

Post-Hoc Tests, Factorial Designs

 

Multiple Regression :  Hierarchical Linear Regression, Non-Linear (Curvilinear) Regression, Logistic Regression

 

Multivariate Analyses: Analysis of Covariance (ANCOVA), Multivariate Analysis of Variance (MANOVA),

Multivariate Analysis of Covariance (MANCOVA), Canonical Correlation,  Discriminant Function Analysis,

 

Factor Analysis:  Exploratory Factor Analysis, Confirmatory Factor Analysis, Principal Components Analysis,

Oblique and Orthogonal Rotation, Interpreting Pattern and Structure Matrices

 

Categorical Data Analysis: Analysis of Contingency Tables, Loglinear and Logistic Models, Multinomial

Response Models, Multinomial Logistic Regression

 

Cluster Analysis and Segmentation:  K-Means, Hierarchical Cluster Analysis,  Ward's Method,

Multidimensional Scaling (MDS). Conjoint Analysis

 

Longitudinal Analyses: Attrition, Prospective Designs, Survival Analysis

 

Structural Equation Modeling (SEM): Measurement Models, Causal Models, Growth Curve Models, EQS,

LISREL, AMOS

 

Hierarchical Linear Modeling (HLM):  Two and Three Level Nested Models; Crossed Models; Binomial, Polynomial,

Rank-Order, and Interval Dependent Measures.

 

Power Analysis:  What are the chances of detecting a significant difference?

 

Stochastics and Dynamic Oscillators