Statistical Analysis features
- DESCRIPTIVE statistics (mean, variance, standard deviation, etc.).
- FREQUENCY analysis including frequencies table, descriptive statistics, percentiles table, barchart, pie chart, Pareto chart, histogram,
Statistical Analysis 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.
- PARTIAL CORRELATION MATRIX with interactive correlation matrix for inclusion of exclusion of control variables, computation of confidence intervals, etc.
- 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.).
- CLASSICAL ITEM ANALYSIS for multiple-choice item questionnaires.
- FACTOR ANALYSIS including principal components analysis and image covariance factor analysis, Q-type factor analysis, varimax rotation, scree plot, etc..
- 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.).
- 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.
DATA MANAGEMENT FEATURES
The data window is a spreadsheet like data editor where values can be entered, browsed, or edited.
- Data file can store up to 2035 variables (or fields).
- Supports plain text as well as Rich Text Format documents.
- Imports comma or tab separated text files, DBase, FoxPro, Excel, MS Access, Paradox, Lotus, Quattro Pro, SPSS/PC+, and SPSS for Windows files.
- Exports comma or tab separated text files, DBase, FoxPro, Excel, MS Access, Paradox, Lotus, Quattro Pro, SPSS/PC+, and XML files.
- Allows merging and aggregation of data files.
- Supports variable and value labels and up to 3 missing values.
- Cases can be filtered usi