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- Random Sampler version 1.5
-
- CONTENTS
- Program Overview
- Installing Random Sampler
- Changes from prior version
-
- Program Overview
-
- Random Sampler is a program for conducting Monte Carlo
- analyses on sample continuous variable data that is
- subdivided according to a categorical variable. Some
- examples are vehicle miles per gallon by manufacturer,
- time to learn a task by mode of training, frequency of
- appearance of a given type of artifact by geographic
- location, and disposition toward some object or behavior
- according to psychological type. No assumptions are
- made about the distribution of scores on the continuous
- variable: they can be normal, multimodal, skewed, etc.
- Two types of analysis are included in this version of
- Random Sampler: Salience Analysis and Effect Size
- Analysis. In Salience Analysis, the empirically
- obtained values for mean, median, mode and variance for
- a subgroup are compared with values one obtains by
- taking a large number of random samples from the total
- pool of scores. The probability value obtained
- indicates the degree to which the empirical sample
- stands out from the total group. In Effect Size
- Analysis, a case is selected randomly from each category
- of cases. After a large number of such samples are drawn,
- the probability that a given category is greater than,
- less than or equal to each other category is computed as
- are the probabilities of the target category having the
- highest or lowest score.
-
- In addition to the procedures mentioned above, Random
- Sampler includes some auxillary procedures that might be
- useful in order to decide how to carry out the analyses.
- These include descriptive statistics, cross-tabulations,
- breakdown, correlation and regression analysis.
- Procedures are also included to generate random sets of
- integers and to take random samples from a set of data
- in a database with specifiable sample sizes and numbers
- of samples. Graphing capabilities are provided for
- frequencies, means, medians, modes, variances and
- scatter plots.
-
- Random Sampler will accomodate dBase, Paradox and Ascii
- files. A routine is included to easily convert Ascii
- files to Paradox format. Data for new cases may be
- added to database files and data for existing cases may
- be edited or deleted. New variables may be added, and
- existing variables may be deleted and edited in Random
- Sampler. Residuals from regression analysis can be
- added to the database with a click of the mouse.
-
- Random Sampler is a MDI (Multiple Document Interface)
- application which means that the user may work with more
- than one database on the screen at the same time.
-
-
- Installing Random Sampler
-
- Random Sampler and its installation program are both
- Windows applications, so Windows must be running in
- order to install Random Sampler. The installation
- program creates directories and copies files from the
- distribution disk to your hard drive.
-
- To install Random Sampler,
-
- 1. Start Windows if it is not running on your computer.
-
- 2. Insert the Random Sampler distribution disk into
- your floppy drive.
-
- 3. Use Program Managers File| Run menu command or File
- Manager to run SETUP.EXE from the distribution disk.
- In Windows 95, click Start and then Run...and use the
- browser to locate SETUP.EXE on your floppy disk.
-
- 4. Follow the instructions presented by the
- installation program.
-
- The installation program copies files as follows:
- rs.exe to C:\Random (or whatever directory you choose)
- rs.ico to "
- readme.txt to "
- cars.txt to C:\Random\Data
- carstx~1.sch to "
- stocks.db to "
- talent.dbf to "
- bivbx11.dll to C:\windows\system
- bigauge.vbx to "
- chart2fx.vbx to "
- rshelp.hlp to C:\windows
-
-
- Changes from Prior Version
-
- I am indebted to Mr. James Byrd who tried Random Sampler
- on some very large data sets and pointed out a number of
- bugs and limitations. As a result, new data structures
- and procedures were used in computing correlation and
- regression values, making execution much faster. A
- change in the Salience Analysis procedure also makes for
- more efficient performance.
-
- The correlation table was divided into two triangular
- matracies with the upper matrix containing r values and
- the lower containing Ns and significance levels.
-
- Code was added to allow running Random Sampler "in the
- background" rather than having exclusive control of the
- computer during procedures that are likely to take
- significant amounts of time. Click on the minimize icon
- and you can do something else while awaiting the results.
-
- Printing was completely revised using a Delphi component
- developed by W. Murto. Thanks, Bill!
-
- The number of intervals to be used in dividing values
- between minimum and maximum can now be specified for
- continuous variable data in the Salience Analysis,
- Descriptive Statistics and Graphing procedures. This
- will make a difference only with respect to calculation
- of medians and modes.
-
- A problem was fixed in the input error checking routine
- of the Calculate Values equation dialog which caused
- certain values to be rejected.
-
- A procedure to draw case samples (including all the
- data associated with cases in the sample) was added to
- the Samples page.
-
-