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Click Here For Expert Consultation on Statistical Analysis and Research Design

 

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

analysis.  I am one of the few statistical consultants that can offer expert support in the use of such cutting-edge

methods as Structural Equation Modeling and Hierarchical Linear Modeling.  Here are some of the procedures I can

assist you with:

 

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

Phi Coefficients, Multiple Regression

 

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?

 

Data Mining: Classification and Regression Trees, Chi-Square Automatic Interaction Detection

 

Stochastic and Dynamic Oscillators