2.4rc
Pre-release
Pre-release
New features
- Data handling
- New data view to see the data together with the results (thanks to Belma Bumin)
- Reload actual data file
- Multivariate outlier filtering with Mahalanobis distance (Tamás Szűcs)
- New demo data files https://learningstatisticswithcogstat.com/ (Róbert Fodor)
- Ability to rerun the analyses in the Results pane
- Multiple linear regression analysis (Tamás Szűcs)
- Scatterplot matrix of raw data
- Linear regression function
- Scatterplot with regression line (feature added after v2.4beta)
- Partial regression plots
- With regression lines (feature added after v2.4beta)
- Model fit metrics
- Partial correlations
- Residual plot and histogram of residuals (feature added after v2.4beta)
- Assumptions of inferential statistics
- Multivariate normality
- Homoscedasticity
- Analysis of multicollinearity
- Population parameter point and interval estimations (including standardized effect sizes)
- Hypothesis tests
- Reliability analyses (Tamás Szűcs)
- Internal consistency reliability analysis
- Item-total scatter plots
- Cronbach's alpha with and without items and their CIs
- Item-rest correlation and their CIs
- Interrater reliability analysis
- Chart showing scores from different raters
- ICC values and their CIs
- Assumption checks for inferential statistics
- Hypothesis tests whether ICC is 0
- Internal consistency reliability analysis
- Displaying groups and factors
- In comparing groups, display groups not only on x-axes but also with colors or in panels
- In comparing repeated measures variables, display conditions not only on x-axes but also with colors
- Rearrange the factors flexibly
- For ordinal repeated measures variables, display the rank of the values
- Comparing variables and groups in mixed design
- Raw data
- Descriptives and related charts
- Parameter estimations and related charts
- Behavioral data diffusion analysis
- The time unit (sec or msec), error coding (1 or 0), and scaling parameter (0.1 or 1) can be set
- Slow trials are filtered before the analysis is run
- Display the number of filtered (missing and slow outlier) trials
- Number of included trials per conditions are displayed
- Output handling
- Save results into html file instead of pdf file (Róbert Fodor)
- Ability to use png or svg image formats for charts
- Possibility to print detailed Python error messages to results pane
- New localization
- Chinese (Xiaomeng Zhu)
- Malay (Nur Hidayati Miza binti Junaidi)
- Arabic (Rahmeh Albursan)
- Python package (features added after v2.4beta)
- Pandas DataFrames with MultiIndex columns can be imported
- Diffusion analysis results are returned as pandas Stylers
Fixes
⚠️ In outlier filtering, the cases with the limit value will be included and not excluded⚠️ With the update of the scipy module, the p values of the Wilcoxon tests are fixed- Extended calculation validations (thanks to Eszter Miklós)
- Most settings in Preferences are applied without the need to restart
- Various GUI, and output fixes