The professionals at Statistics Solutions have provided statistical testing assistance to masters and doctoral candidates for over 18 years.
Statistics Solutions’ professionals are experts in the following statistical testing techniques:
- AMOS 6.0
- Analysis of Variance (ANOVA)
- Binomial Logistic Regression
- Binomial Test of Significance
- Canonical Correlations
- Chi-Square Significance Test
- Cluster Analysis
- Confirmatory Factor Analysis (CFA)
- Content analysis
- Correlation (Pearson, Kendall, Spearman)
- Correspondence Analysis
- Data Imputation for Missing Values
- Data Levels and Measurement
- Descriptive Statistics
- Dichotomous Association: Percent Difference, Yule’s Q, Yule’s Y, Risk, Odds Ratio
- Discriminant Analysis
- Effect Size
- Event History Analysis, and Survival Analysis
- Exploratory Factor Analysis (EFA)
- Factor Analysis
- Fisher Exact Test of Significance
- Hypothesis Testing
- Independent Sample T-Test
- Latent Class Analysis
- Linear Regression Analysis
- LISREL
- Logistical Regression
- Log-Linear, Logit, and Probit Models
- Mann-Whitney U Test
- Manova
- Measures of Association
- Mediator Variable
- Meta-Analysis
- Missing Values
- Moderator Variable
- Multiple Regression Analysis
- Multi-Level Models, Including Hierarchical Linear Modeling
- Multivariate Analysis of Covariance (MANCOVA)
- Nominal Association: Phi, Contingency Coefficient, Tschuprow’s T, Cramer’s V, Lambda, Uncertainty Coefficient
- Nominal-by-Interval Association Eta, the Correlation Ratio
- Normal Curve Tests of Means and Proportions
- One-Sample Kolmogorov-Smirnov Goodness-of-Fit Test
- Ordinal Association: Gamma, Kendall’s tau-b and tau-c, Somers’ d
- Partial Correlation
- Path Analysis
- PLS Graph
- Power Analysis
- Probability
- Program Evaluation
- Regression
- Reliability Analysis
- Repeated Measures Analysis
- Resampling
- Research Designs
- Runs Test of Randomness
- Sampling
- SAS
- Scales and Standard Error
- Sign Test
- Significance
- Significance Tests for Over Two Dependent Samples: Friedman Test, Kendall’s W, Cochran’s Q
- Significance Tests for Two Dependent Samples: McNemar, Marginal Homogeneity, Sign, and Wilcoxon Tests
- SPSS
- Statistical Formula
- Structural Equation Modeling (SEM)
- Student’s t test (see T-test)
- Survey Research
- T-Test
- Testing of Assumptions
- Tests for More Than Two Independent Samples: Kruskal-Wallis H, Median, and Jonckheere-Terpstra Tests
- Time-Series Analysis
- Two-Stage Least Squares (2SLS) Regression Analysis
- Validity
- Wilcoxon Matched-pairs Sign test
Contact Statistics Solutions today for a free statistical testing consultation.
