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

1. Handles any size data set.
2. Interactive dialogs and batched Runfiles.
3. Data entry with Excel
4. Imports and exports to SAS, SPSS, STATA
5. Special Data Mining techniques for market analysis (SEARCH --very fast for large datasets).
6. Special nominal and ordinal statistical analysis techniques (MCA, MNA).
7. Can read OSIRIS data sets from the Institute for Political and Social Research (ICPSR).
8. Reads UNESCO IDAMS datasets.
9. Online manual
10. Decision Tree for selecting appropriate statistics and commands to compute them
11. Online context sensitive help system with additional links to manual.
12. Requires only 2.5MB (1.5 for 32-bit version) when fully loaded; additional memory allocated as needed depending on number of variables used.
13. Less than 8MB on disk (64-bit version)--including manual, samples data files, and Statistical Decision Tree.
14. 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.
15. Runs in Windows XP or above, including 32- or 64-bit Vista and Windows 7.
16. 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.

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Commands in MicrOsiris

Preparing Data for Input			Analysis of Variance and Hypothesis Testing
ADDDATA	Add records to a dataset		ANOVA	One-way analysis of variance.
DICTIONARY	Create and modify dictionaries describing datafiles.		T-TEST	Means testing.
IMPORT	Import files from SPSS, SAS, STATA, and other systems.		MANOVA	Multivariate analysis of variance.
MATRANS	Transform or invert matrices.		Correlation and Regression Analysis
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.
General Purpose Utilities			PARTIALS	Partial correlation analysis.
LISTDATA	List MicrOsiris datasets.		REGRESSSION	Multiple regression analysis and dummy variable regression.
LISTDICT	List MicrOsiris dictionaries.		Multivariate Analysis Using Nominal and Ordinal Predictors
SORTDATA	Sort datasets.		MCA	Multiple classification analysis.
Checking and Correcting Datasets			MNA	Multivariate analysis of nominal data.
CONCHECK	Perform consistency checks between variables.		SEARCH	Binary segmentation.
FIXDATA	Correct individual variables case by case.		Factor and Cluster Analysis
WILDCODE	Check and document invalid codes.		CAP	Spatial configuration analysis.
			COMPARE	Compare configuration matrices.
Transforming Datasets			CLUSTER	Cluster analysis.
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
Frequency Distributions and Associated Statistics			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.