 ## Simstat Statistical Features

• DESCRIPTIVE statistics (mean, variance, standard deviation, etc.).
• FREQUENCY analysis including frequencies table, descriptive statistics, percentiles table, barchart, pie chart, Pareto chart, histogram, normal probability plot, box-&-whiskers plot and cumulative distribution plot.
• CROSSTABULATION: normal crosstabulation and INTER-RATERS AGREEMENT table,nominal statistics (chi-square, Pearson's Phi, Goodman-Kruskal's Gamma, Contingency coefficient), ordinal statistics (Kendall's tau-b and tau-c, Pearson's R, symmetric and asymmetric Somers' D, Dxy and Dyx), inter-raters agreement statistics (percentage of agreement, Cohen's Kappa, Scott's Pi, Krippendorf's r and R-bar, free marginal correction for nominal and ordinal measure), 3-D bar chart.
• BREAKDOWN analysis with multiple Box-and-Whiskers plot.
• MULTIPLE RESPONSES frequency and crosstabulation analysis.
• PAIRED AND INDEPENDENT T-TESTS with effect size measures (r and d), error bar graph, barchart, dual histogram.
• ONEWAY ANALYSIS OF VARIANCE with post hoc tests (LSD, Tukey's HSD, Scheffé's test), effect size measures, error bar graph, barchart, deviation chart.
• GLM ANOVA/ANCOVA (up to 5 factors and covariates) including detailed ANOVA table, 3 different adjustment methods for unequal cell sizes (regression, nonexperimental, hierarchical), multiple regression statistics, test of change of R-Square, regression equation (B, standard error of B, beta, confidence, interval of B, zero-order, semi-partial and partial correlations, tolerance level, F, significance), residuals caseplot with Durbin-Watson statistic, standardized residuals scatterplot, normal probability plot of residuals, ability to save predicted and residual values.
• CORRELATION MATRIX including covariance and cross product deviation, user-specified confidence interval, scatterplot matrix.
• REGRESSION analysis including linear and 7 nonlinear regressions (quadratic, cubic, 4th and 5th degree polynomial, logarithmic, exponential, inverse), regression equation, analysis of variance, Durbin-Watson statistics, scatterplot, residuals caseplot, standardized residuals scatterplot, normal probability plot of residuals, ability to save predicted and residual values.
• MULTIPLE REGRESSION analysis including 5 different regression methods (hierarchical entry, forward selection, backward elimination, stepwise selection, enter all variables), P to enter, P to remove, and tolerance criteria, ANOVA table, test of change ANOVA table, regression equation (B, standard error of B, beta, confidence, interval of B, zero-order, semi-partial and partial correlations, tolerance level, F, significance), residuals caseplot, Durbin-Watson statistic, standardized residuals scatterplot, normal probability plot of residuals, ability to save predicted and residual values.
• TIME SERIES analysis including data transformation (ex.: remove mean, lag, etc.), auto-correlation diagnostic (ACF and PACF plot), smoothing techniques (moving average,running median), control bars with user-specified confidence interval.
• SINGLE-CASE EXPERIMENTAL DESIGN analysis with descriptive statistics, interrupted time-series graph, various graphical judgmental aids such as smoothing (moving average and running median), trend lines and control bars.
• RELIABILITY analysis with item, inter-item and item-total statistics, split-half reliability statistics, internal consistency measures (Cronbach's alpha, etc.).
• NEW 2.5! FACTOR ANALYSIS including principal components analysis and image covariance factor analysis, Q-type factor analysis, varimax rotation, scree plot, etc. (for more information, click here).
• SENSITIVITY ANALYSIS with false-positives and false negatives statistics, sensitivity and specificity statistics, ROC curve (Receiver operating characteristics), error rate graph.
• NONPARAMETRIC analysis including binomial test, one sample chi-square test, runs test, McNemar test, Mann-Whitney U test, Wilcoxon t-test, sign test, Kruskal-Wallis ANOVA, Friedman two way ANOVA, Kolmogorov-Smirnov test for 2 samples and goodness of fit test, Moses test of extreme reactions, median test (2 or more samples),
• NONPARAMETRIC ASSOCIATION MATRIX including Spearman's R, Somer's D, Dxy and Dyx, Goodman Kruskal's Gamma, Kendall's Tau-a, Tau-b, Kendall Stuart's Tau-c, etc.
• BOOTSTRAP RESAMPLING analysis including resampling of 7 univariate and 21 bivariate estimators, descriptive statistics, percentile table, nonparametric confidence intervals, nonparametric power analysis, variable sample size, random sampling simulation, histogram.
• FULL ANALYSIS BOOTSTRAP resampling on almost every analysis (frequency, crosstab, multiple regression, reliability, nonparametric tests, etc.). Other features Integer weighting of cases using another variable. Runs LOGISTIC, a freeware logistic regression program written by Gerard L. Dallal. SIMCALC probability calculator computes probabilities for 9 types of test/distribution as well as confidence intervals for proportions, mean, and correlation.

### Other features

• Integer weighting of cases using another variable.
• Runs LOGISTIC, a freeware logistic regression program written by Gerard L. Dallal.
• SIMCALC probability calculator computes probabilities for 9 types of test/distribution as well as confidence intervals for proportions, mean, and correlation. 