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IDAMS

United Nations Educational, Scientific and Cultural Organization. IDAMS. Internationally Developed Data Analysis and Management Software Package. 2004. WinIDAMS – what it contains. User Interface Three modules for interactive data analysis

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IDAMS

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  1. United Nations Educational, Scientific and Cultural Organization IDAMS Internationally Developed Data Analysis and Management Software Package 2004

  2. WinIDAMS – what it contains User Interface Three modules for interactive data analysis Data analysis and data management facilities embedded in “programs” Standard features Powerful Recode language for construction of new variables

  3. System requirements 32-bit versions of Windows operating systems (Windows 95, 98, NT 4.0, 2000 or XP) Pentium II or faster processor 64 megabytes RAM About 11 MB of disk space for each language version Files for download (each version): installation 7.3 MB manual 2.6 MB

  4. WinIDAMS User Interface • Application option • Dictionary window • Data window • Setup window • Option for executing IDAMS setups • Results window • Interactive data import/export facilities • Access to interactive data analysis components • Advanced text editing facilities • On-line access to the Reference Manual

  5. Interactive data analysis Multidimensional tables and their graphical presentation Graphical exploration of data (GraphID) Time series analysis (TimeSID)

  6. Data analysis facilities Univariate analysis Univariate table and statistics Distribution and Lorenz functions Bivariate analysis Bivariate tables and statistics One-way analysis of variance Scatter diagrams Pearsonian correlation

  7. Data analysis facilities Multivarate explicative analysis Lineal regression Multiple classification analysis Searching for structure

  8. Data analysis facilities Multivariate descriptive analysis Principal components factor analysis Analysis of correspondences Stepwise linear discriminant analysis Cluster analysis Typology and ascending classification Partial order scoring Rank-ordering of alternatives Multidimensional scaling Configuration analysis

  9. Data editing and construction of an IDAMS dataset Checking for non-numerical values Checking of codes Checking of consistency Checking the merging of records Correcting data Data management facilities Data verification and correction

  10. Data management facilities Sorting and merging files Importing and exporting data Listing data Subsetting data Aggregating data Merging data Data transformation

  11. Standard features Case selection     Variable selection     Transforming data – Recode facility     Weighting data     Treatment of missing data     Treatment of non-numerical values

  12. The Recode language Elements of the Recode language OPERANDS variables, constants, functions, expressions OPERATORS arithmetic, relational, logical FUNCTIONS arithmetic, logical STATEMENTS assignment, control, initialization/definition

  13. Data in IDAMS IDAMS dataset Data file + Dictionary file with data description IDAMS matrices square matrix rectangular matrix

  14. Data file Any text file of fixed format, i.e. where the values for a given variable occur in the same positions and in the same record for each case.

  15. Data file • Can contain: • up to 4096 characters per case • number of cases limited by the disk capacity and by the internal representation of numbers • up to 1000 variables • up to 50 records per case.

  16. Variables • identified by a unique number between 1 y 9999 • reference – number preceded by V or R, e.g. V3 • numeric or alphabetic, stored in character mode

  17. Variables • Numeric variables • values integer or decimal, positive or negative • blank fields are considered non-numerics • maximum field width is 9 but only up to 7 significant digits are retained in processing • Alphabetic variables • any string of characters • maximum field width is 255 • 1-4 first characters can be used in filters and in Recode

  18. Data description – Dictionary file It contains: • the variable number, its type and its location in the data record • variable name, two missing data codes, the number of decimal places, reference number and study ID • labels (names) for different codes of qualitative variables

  19. Data exchange Interactive data import/export Data: Tab (.txt), comma (.csv), semicolon (.csv) IMPEX program Data: free or DIF format Matrices: free format

  20. Executing IDAMS programs Sequence of operations preparation of instructions in a setup execution of the setup revision of results

  21. IDAMS Setup file $RUN program name $FILES file specifications $SETUP program control statements $RECODE Recode statements

  22. Example of a Setup file $RUNREGRESSN $FILES PRINT=regres.lst DICTIN=cm.dic DATAIN=cm.dat $SETUP ‘Standard & stepwise regressions' badd=md1 mdha=20 cate v4(1,2) depv=v11,vars=(v4,v9,v10) meth=step,depv=v12,vars=(v4,v7,v9,v10)

  23. IDAMS Results file Structure and contents of results release number and date date and time of execution listing of setup Recode statements program name, source, data of last updating interpretation of setup input and output dictionary(-ies) results of execution

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