MicrOsiris Statistical and Data Management Software System
MicrOsiris is a comprehensive statistical and data management package for Windows based microcomputer systems. It is derived from OSIRIS IV, a statistical and data management package developed and used at the University of Michigan.
Developed for serious survey analysis using any sized data sets, MicrOsiris's speed and minimal disk storage requirement, coupled with the interactive dialogs and on-line help systems, make it also suitable for college or graduate level courses in statistics and applied survey research methods. Further, the interactive statistical decision tree for choosing appropriate statistical techniques is a comprehensive decision tool---not just for using MicrOsiris.
MicrOsiris accepts as many cases as you can get on your system. There are interactive dialogs for managing MicrOsiris sessions and an on-line help facility for aid in running a particular command. SAS and SPSS files can be easily imported
Key Benefits
- Handles any size data set.
- Interactive dialogs and batched Runfiles.
- Data entry with Excel
- Imports and exports to SAS, SPSS, STATA
- Special Data Mining techniques for market analysis (SEARCH --very fast for large datasets).
- Special nominal and ordinal statistical analysis techniques (MCA, MNA).
- Can read OSIRIS data sets from the Institute for Political and Social Research (ICPSR).
- Reads UNESCO IDAMS datasets.
- Online manual
- Decision Tree for selecting appropriate statistics and commands to compute them
- Online context sensitive help system with additional links to manual.
- Requires only 2.5MB (1.5 for 32-bit version) when fully loaded; additional memory allocated as needed depending on number of variables used.
- Less than 8MB on disk (64-bit version)--including manual, samples data files, and Statistical Decision Tree.
- Can use as much memory as you have; permitting large numbers of 2- 3- and N-way cross tabulations, univariate statistics, and means testing to be run in one pass of the data with the powerful Repetition option.
- Runs in Windows XP or above, including 32- or 64-bit Vista and Windows 7.
- Run on Macs under a Windows virtual machine.
Data Management:
MicrOsiris has the ability to handle weighted data, a powerful general purpose RECODE, commands to check and validate "wild codes" and perform consistency checking among numerous variables, and the ability to aggregate data to a new level of analysis. Commands and directions are provided for importing data into the system and for reformatting MicrOsiris data files for use with other systems, including spreadsheet, SAS, and database programs.
Statistics:
In addition to the usual basic statistics and functions (hypothesis testing, correlation analysis and classical regression--including stepwise and dummy variable), MicrOsiris provides multivariate analysis of nominal- and ordinal-scaled data. It can produce scatter plots, generate univariate and bivariate frequency distributions and related statistics (including lambdas, gammas, kappa, taus, chi-square, and Gini coefficients), non-parametric statistics and rank-order statistics, analysis of variance, and multiple classification analysis (multiple regression using categorical predictors). MicrOsiris also provides for factor analysis with varimax and oblimin rotations, and a variety of cluster analysis techniques.
Of special interest is SEARCH, a binary segmentation command used to develop predictive models for dependent variables. It is an elaboration of the OSIRIS AID and THAID programs developed at the Institute for Social Research. SEARCH divides a sample, with a choice of several techniques, through a series of binary splits into mutually exclusive series of subgroups. The groups are chosen so that at each step the two new groups account for more of the variance or distribution than any other pair of subgroups. Predictor variables may be ordinal or nominally scaled. The dependent variable may be continuous or categorical.
Commands in MicrOsiris
| ADDDATA | Add records to a dataset |
ANOVA |
One-way analysis of variance. | |
| DICTIONARY | Create and modify dictionaries describing datafiles. | T-TEST |
Means testing. |
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| IMPORT | Import files from SPSS, SAS, STATA, and other systems. | MANOVA | Multivariate analysis of variance. | |
| MATRANS |
Transform or invert matrices. |
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| MATRIX | Matrix input routine. | LOGLINEAR | Dichotomous dependent variable regression analysis using linear or logit model. | |
| MERGE | Combine two datasets. | CORRELATIONS | Pearsonian correlation analysis, allowing unequal n’s for each pair of variables. | |
| PARTIALS | Partial correlation analysis. | |||
| LISTDATA | List MicrOsiris datasets. | REGRESSSION | Multiple regression analysis and dummy variable regression. | |
| LISTDICT | List MicrOsiris dictionaries. | |||
| SORTDATA | Sort datasets. | Multiple classification analysis. | ||
| MNA | Multivariate analysis of nominal data. | |||
| CONCHECK | Perform consistency checks between variables. | SEARCH | Binary segmentation. | |
| FIXDATA | Correct individual variables case by case. | |||
| WILDCODE | Check and document invalid codes. | CAP | Spatial configuration analysis. | |
| COMPARE | Compare configuration matrices. | |||
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CLUSTER |
Cluster analysis. |
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| AGGREGATION | Aggregate individual records across subsets defined by the user. Compute summary descriptive statistics. | HICLUSTER | Hierarchical cluster analysis. | |
| EXPORT | Export datasets as ASCII files for other systems such as SAS, SPSS, database and spreadsheet programs. | FACTOR_ANALYSIS | Factor analysis. | |
| RECODE | Recode variables. | MINISSA | Guttman-Lingoes Smallest Space Analysis (Nonmetric multidimensional scaling). | |
| TRANS | Reformat and translate datasets; produces permanently recoded datasets when used with RECODE. | Index Reliability and Item Analysis | ||
| ITEM_ANALYSIS | Item analysis. | |||
| SCATTERPLOT | Bivariate scatter plot diagrams | LIFETABLE | Life table analysis. | |
| USTATS | Produces univariate statistics. | ITEM_RELIABILITY | Internal consistency of composite measures. | |
| TABLES | Univariate and bivariate tables, rank-order statistics, Chi-Square, Cochran's Q, Fisher, Friedman, Kendall's concordance, Kolmogorov-Smirnov two-sample, Kruskal-Wallis H, Spearman Rho, Kappa, Cramer’s V, Lambdas, Leik-Gove, Kendall’s Tau, Gamma, Mann-Whitney, Sign test, Wilcoxon. | |||