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For Expert Consultation on Statistical Analysis and Research Design e-mail me at statisticsdoc@cox.net |
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I provide consulting on a wide variety of statistical procedures, including multivariate analyses and factor analysis. I am one of the few statistical consultants on-line 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:
Data Mining: Classification and Regression Trees, Chi-Square Automatic Interaction Detection
Biostatistics: Incidence, Prevalence, Sensitivity, Specificity, Risk Ratios, Clinical Trials, Survival Analysis, Operator Receiver Characteristics (ORC)
Market Research: Segmentation, Driver Analysis, Market Mix Analysis, Credit Risk Analysis
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, Congeneric Modeling, Test-Retest Reliability, Item-Response Theory (IRT), Scale Validation, Inter-Rater Reliability, Inter-Observer Reliability, Kappa, Generalizability Theory
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
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?
Stochastic and Dynamic Oscillators: When do trends change?
Simple Inferential Statistics: Independent and Dependent (Paired) t-tests, Chi-Squared tests, Correlation, Phi Coefficients
E-mail me today at statisticsdoc@cox.net to get started on your project or if you have any questions. My initial consultation is free.
I look forward to hearing from you.
StatisticsDoc
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