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Windows KWIKSTAT (WINKS) is an economical, reliable and simple to use statistical analysis tool for researchers
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It contains a wide range of statistical tests including many handy features not found in programs such as SPSS or SAS -- for example, easy analysis from summary data (as well as from raw data), nonparametric multiple comparisons, APA standard analysis write-up suggestions and more.
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Friendly interface with easy Excel-like data handling & graphs (reads and writes Excel files.)
Data entry and manipulation:
- Spreadsheet data entry
- Cut, copy, paste data
- Easily opens data from Excel Files (as well as from CSV and DBF files)
- Recode data, create indicator variables
- Calculate new variables
by calculation
- Filter variables for analysis
- Select a random sample
- Sort data
- Delete and insert rows and columns of data
SDA performs standard statistical calculations such as:
- Descriptive statistics (means, standard deviations, median, coefficient of variation, skewness, kurtosis, etc.)
- Cp and Cpk analysis (QC)
- Statistics by group (up to 2 factors)
- Statistics from counts
- Percentile calculations
- Graph features: Histograms, bar charts, pie charts, line charts, time series plots, stem and leaf, scatterplot, fitted regression line, matrix of scatterplots, etc.
- Create Excel charts directly from WINKS
- Pie and Bar charts from keyboard data
- t-tests -- single sample, independent group and paired t-test
- t-test from summary data
- One-Way Analysis of Variance with multiple compairisons (Newman-Keuls, Scheffe, Tukey) from raw or summarized data
- Repeated Measures ANOVA with post hoc multiple comparisons
- Dunnett's test (from raw or summarized data)
- Frequency tables
- Goodness of fit analysis
- Crosstabulation (rxc) Chi-Square analysis
- Fisher's exact test
- Correlation (Pearson and Spearman)
- Comparison of proportions
- Point biserial correlation
- Simple linear regression
- Multiple linear regression
- Mann-Whitney nonparametric test for two independent group comparison
- Kruskal-Wallis nonparametirc test for three or more independent group comparison, with post hoc multiple comparisons (Dunn's Test)
- Wilcoxon signed rank test and the Sign test for paired group comparison
- Friedman's test for repeated measures with post hoc multiple comparisons
- Cochran's Q test for comparison of dichotomous data
- McNemar's test for paired dichotomous data
- Survival analysis (Actuarial and Kaplan Meier -- comparison by group using Mantel-Haenszel for post hoc comparison of groups)
- Simulations -- Central limit theorem, confidence intervals, coin flip
- P-value calculation procedures for Z, t, Chi-Square and F statistics
- Report generator
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- The Professional Edition contains all features of the BASIC Edition plus...
- Advanced Tabulation allows breakdown of tables by three factors with various statistics included in each cell.
- The Mantel-Haenszel procedure allows analysis of multiway tables (useful in meta-analysis, when you want to pool information from several 2x2 tables or for the analysis of two dichotomous variables while adjusting for third.)
- Inter/Rater Reliability & Kappa allows analysis of reliability data that includes both Kappa and Weight Kappa analyses including confidence intervals
- Two Factor Analysis of Variance can handle unbalanced data and includes graphs and post hoc multiple comparisons
- Two-way ANOVA with Repeated Measures includes graphs and post hoc tests.
- Analysis of Covariance (ANCOVA) includes graphs and post hoc tests
- Three-Way ANOVA
- Polynomial Regression up to 6th order sextic regression with graphs
- Stepwise regression for multiple linear regression modeling
- All possible subsets regression finds best models for multiple linear regression
- Simple Logistic Regression for simple logistic modeling with a binary or continuous independent variable, including calculating predictions from model and includes odds ratio with 95% confidence intervals
- Multiple Logistic Regression -- allows you to fit up to 10 independent variables in a logistic model, includes calculation of parameters and odds rations with 95% confidence intervals.
- Bland-Altman plots for comparison of two similar measures, includes a plot of equality as well as the Bland-Altman plot
- Multiple comparisons (Newman-Keuls, Tukey HSD, or Scheffé), calculate custom post hoc multiple comparisons that include a graphical summary of results
- Time series analysis including data plotting, autocorrelations, partial autocorrelations, estimating parameters, differencing and forecasting. The program allows you to estimate the parameters of an ARMA model and create a forecast using your model (using three forecasting techniques). The forecast can then be displayed and captured as numbers in a file.
- Quality Control charts and procedures allows you to create X-Bar Charts, R-Charts, S-Charts, EWMA, MR-Charts, I-Charts and P-Charts. It will automatically calculate 3-sigma limits, or you can specify your own limits. Data replicates can be balanced or unbalanced. X-Bar Charts can be displayed on the same screen with an R-Chart or an S-Chart.
- The Pareto Chart procedure allows you to display Pareto charts, which are used to determine priorities for quality improvement. The by-group feature allows you to display charts by a grouping factor (i.e., day of week, operator.)
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