MicrOsiris
 

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 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: up to 64000 variables and unlimited cases.
  2. Interactive dialogs and batched Runfiles.
  3. Data entry and correction 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. Output saved to test file or special CSV file for report generation.
  8. Can read OSIRIS data sets from the Institute for Political and Social Research (ICPSR).
  9. Reads UNESCO IDAMS datasets.
  10. Online manual
  11. Decision Tree for selecting appropriate statistics and commands to compute them
  12. Online context sensitive help system with additional links to manual.
  13. Requires less than 3MB (32-bit version) when fully loaded; additional memory allocated as needed depending on number of variables used.
  14. MicrOsiris requires less than 12MB on disk (32-bit version)--including manual, sample data files, IVEware, and Statistical Decision Tree.
  15. 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.

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.

IVEware interface. A seamless interface is provided for the University of Michigan's Survey Research Center missing-data imputation, sampling, and extensive regression software.

Commands in MicrOsiris

Preparing Data for Input

 

Analysis of Variance and Hypothesis Testing
ADDDATA Add records to a dataset  

ANOVA, ANOVAR

 One-way analysis of variance.
One-way analysis of varianve--repeated measures
DICTIONARY Create and modify dictionaries describing datafiles. T-TEST

Means testing.
IMPORT Import files from SPSS, SAS, STATA, and other systems.   DISCRIM Discriminant Analysis
MANOVA Multivariate analysis of variance.
MATRANS

Transform or invert matrices.

   MONANOVA Monotone (conjoint) analysis of factorial designs
IVEWARE Imputes missing data

Correlation and Regression Analysis
MATRIX Matrix input routine.

CANCORR

 Canonical correlation analysis
MERGE Combine two datasets.   LOGIT_LINEAR Dichotomous dependent variable regression analysis using linear or logit model.

General Purpose Utilities

   CORRELATIONS Pearsonian correlation analysis, allowing unequal n’s for each pair of variables.
LISTDATA List MicrOsiris datasets.
LISTDICT List MicrOsiris dictionaries. REGRESSSION Multiple regression analysis and dummy variable regression.
SORTDATA Sort datasets.

Multivariate Analysis Using Nominal and Ordinal Predictors

Checking and Correcting Datasets

MCA

 Multiple classification analysis.
CONCHECK Perform consistency checks between variables. MNA Multivariate analysis of nominal data.
FIXDATA Correct individual variables case by case. SEARCH Binary segmentation.
WILDCODE Check and document invalid codes.

Factor and Cluster Analysis

Transforming Datasets

 CAP Spatial configuration analysis.
AGGREGATION Aggregate individual records across subsets defined by the user. Compute summary descriptive statistics.   COMPARE Compare configuration matrices.
EXPORT Export datasets as ASCII files for other systems such as SAS, SPSS, database and spreadsheet programs.  

CLUSTER

Cluster analysis.
RECODE Recode variables. HICLUSTER Hierarchical cluster analysis.
TRANS Reformat and translate datasets; produces permanently recoded datasets when used with RECODE. FACTOR_ANALYSIS Factor analysis.

Frequency Distributions and Associated Statistics

   MINISSA Guttman-Lingoes Smallest Space Analysis (Nonmetric multidimensional scaling).
SCATTERPLOT Bivariate scatter plot diagrams Index Reliability and Item Analysis
USTATS Produces univariate statistics. ITEM_ANALYSIS Item analysis.
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.    LIFETABLE Life table analysis.
  ITEM_RELIABILITY Internal consistency of composite measures.