# Category : Science and Education

Archive : STARAT.ZIP

Filename : SUMMARY.DOC

STAR (tm): Statistical Analyses for the Researcher

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Features of special interest (comparisons/examples are in file COMPARE.DOC):

ANOVA/ANCOVA capabilities:

Least Squared Error solution for designs with unequal cell frequencies [see

the comparison/differences between STAR and BMDP (tm) and SPSS-X (tm)].

Mixed Model Designs: up to four repeated measures, regardless of the

presence of missing data (unequal cell frequencies).

R Square (variance accounted) for each source of variance in the design,

including error terms. The R Square and F value can be reported together,

to abide by the recommendation of some journal editors that an indication

of the 'effect size' be given together with the probability of the F value.

Trend Analyses: automatically computed for all factors in the design

(see example).

Comparisons: The user can specify coefficients to be paired with the raw

data to obtain virtually any type of comparison(s) desired.

Continuous Factors AN(C)OVA: The user can specify which factors are to be

considered continuous factors. That is, there is no need to dichotomize,

trichotomize, etc. (with consequent loss of information) continuous factors

such as drug level, anxiety level, etc. (the manual explains what is meant

by and how to use continuous factors).

Covariates: A virtually unlimited number of covariates.

Tables of Means: ANOVA style, with the 'n' for each cell (see example).

Transformations: can be handled both at Run Time and off line.

One program accomplishes all of the above. The user does NOT need to get

aquainted with one program to do oneway ANOVA, another program to do ANOVA

with repeated measures, another program to do analyses with missing data,

another program to do ANCOVA, etc.

AN(C)OVA from Hierarchical Multiple Regression: the program provides all

the suppoting computations to obtain AN(C)OVA output from regression (i.e.,

the user can custom design his/her AN(C)OVA model). One can even obtain

an AN(C)OVA table from a correlation matrix.

PLOTS and GRAPHS

Presentation quality ANOVA style plots are automatically produced

(some customization is also allowed (see example). The same instructions

needed to produce the AN(C)OVA table can be used to automatically produce

bar graphs of all main effects and plots of all interactions. Virtually all

the user specifies is the design, the levels of the factors (see example).

HIERARCHICAL MULTIPLE REGRESSION/CORRELATION

A complete picture of the variance shared between all variables is displayed.

The user can specify which variables should be entered at which stages.

Variables (up to 200 of them on the PC version) can be entered in any

order or combination desired. The correlation and partial correlation

matrixes produced by the program display the significance level of each

coefficient (see example).

Features of general interest:

ON LINE STATISTICS:

Matched Pairs t-test (data provided on line or read from file)

Independent Samples t-test (data provided on line or read from file)

Contingency Chi Square

Goodness of Fit Chi Square

Probability of F values

Probability of t values

Probability of Chi Square

CROSSTABULATION

The program handles bivariate crosstabultations, with unlimited 'n', for as

many as ten variables. Variable names can be up to 80 characters long.

The program displays the frequency and the associated Chi Square (including

the Chi Square corrected for continuity, if necessary, see example).

DUMMY VARIABLES

The program allows the user to specify the pairing of variables with any

'dummy' codings desired. The program can be used in conjunction with the

Hierarchical Multiple Regression program to obtain custom designed

AN(C)OVA output.

CONTROL FILE

All instructions to perform analyses are provided on line. However, the

instructions are saved for possible later recall, modification, and use

for reanalysis. There is virtually no need to refer to the documentation.

To analyze the data, the experimenter does not need to re-learn portions of

the user manual at the completion of an experiment, as is the case with many

statistical packages, major and minor.

DATA STORAGE/TRANSFER

The user can store, move, or rearrange data between files (e.g., store

the third variable from one file and the fourth from another file into a new,

third file), without any computer programming knowledge, or knowledge

of format statements. Any and all variables can be transformed during

the storage/transfer process. Flat files (ASCII) are used by all programs.

DETAILED DOCUMENTATION

The documentation (over 100 pages) is full of examples on how to use

the package.

ON LINE HELP

Extensive on line help is available to the user. The user can look at

directories and/or have displayed help messages.

COMPETE INTEGRATION OF FUNCTIONS

After storage of the control file the user can begin the desired program by

simply pressing ENTER. Ditto to see the results or to plot the ANOVA means!

Very nice! Thank you for this wonderful archive. I wonder why I found it only now. Long live the BBS file archives!

This is so awesome! 😀 I’d be cool if you could download an entire archive of this at once, though.

But one thing that puzzles me is the “mtswslnkmcjklsdlsbdmMICROSOFT” string. There is an article about it here. It is definitely worth a read: http://www.os2museum.com/wp/mtswslnk/