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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
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