Features
Analysis
of variance
| Handles factorial (up to five-way)
and repeated measures designs, and analysis of covariance; for one-way designs, performs
Newman-Keuls procedure |
Dependent variable:
TOTPAID Total dues
Source SS
DF MS
F Prob
CATEGORY 18671.6882 2
9335.8441 0.2648 0.7678
TYPE 40091.7088 1
40091.7088 1.1371 0.2885
CATEGORY by TYPE
====> 3030.0457 2
1515.0228 0.0430 0.9580
Residual 4089959.2902 116 35258.2697
Total 4149423.2997 121 34292.7545
Valid cases: 122 Missing cases: 23 |
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Breakdown
| Calculates summary statistics for
dependent variables broken down by one or two independent variables |
Dependent
variable: TOTPAID Total dues
broken down by: CATEGORY A, B or C
Mean Std.Dev. Minimum Maximum N
CATEGORY = A 292.3722 253.2086 1.0000 1500.0000 45
CATEGORY = B 317.6500 127.3482 36.0000 700.0000 40
CATEGORY = C 291.8108 137.2716 25.0000 750.0000 37
All cases 300.4898 185.1830
1.0000 1500.0000 122
Missing cases: 23 |
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Convert
scores
| Allows you to convert data to z
scores, T scores, stanines, ranks, or quantiles of any base |
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Correlation
| Calculates a matrix of Pearson
product-moment correlations; includes options for pairwise or listwise deletion of missing
data |
Each cell shows
the correlation, sample size, and
one-tailed significance.
DUES BLDG
PASTDUE TOTPAID TYPE
DUES 1.0000 0.5039
0.4494 0.8809 -0.1069
n: 145 n:
145 n: 8 n: 122 n: 145
p:0.000 p:0.000
p:0.132 p:0.000 p:0.100
BLDG 0.5039 1.0000
-0.5833 0.8144 -0.0972
n: 145 n:
145 n: 8 n: 122 n: 145
p:0.000 p:0.000
p:0.065 p:0.000 p:0.122
Pairwise deletion of missing data in effect.
Maximum number of cases used: 145 |
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Crosstabulation
and chi-square
| Allows you to specify a list of row
variables to be cross-tabulated with a column variable; calculates chi-square statistic |
Row variable:
TYPE
Column variable: CATEGORY A, B or C
Each cell shows: Obs Freq, Pct of Row, Pct of Column
A
B C Total
1 27
24 26 77
35.06 31.17
33.77 100.00
55.10 48.00
56.52 53.10
2 22
26 20 68
32.35 38.24
29.41 100.00
44.90 52.00
43.48 46.90
Total 49 50
46 145
33.79 34.48
31.72 100.00
100.00 100.00 100.00
100.00
For entire table, Chi-square = 0.8173 with 2 df...
Significance= 0.665
Valid cases: 145 Missing cases: 0 |
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Frequency
distributions and histograms
| Also calculates cumulative
frequencies, median, other quartiles and boxplot; allows interactive redisplay of
distribution, without requiring reprocessing of data |
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Regression
| Simple or multiple, including
stepwise; can calculate residuals and predicted values for further analysis. Uses a
model-building approach, letting you add or remove independent variables and examine
results as you build the model. |
Dependent
variable: TOTPAID
Independent variables in the model:
TYPE PASTDUE
All independent variables are in the model.
Variable B Std Error t Score
Sig.
Intercept 333.2829 161.4328 2.0645 0.09
TYPE -86.2164 88.8029 -0.9709
0.37
PASTDUE 0.3256 0.5994 0.5432
0.61
Valid cases: 8 Missing cases: 137
Analysis of Variance
Source SS DF
MS F
Sig.
Regression 21247.6478 2 10623.8239 0.7451 0.52
Residual 71289.8522 5 14257.9704
Total 92537.5000 7 13219.6429
R-squared = 0.2296
R-squared adjusted for DF = -0.0785 |
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Transformations
| A powerful utility that allows
computation of new variables using a built-in programming language. Includes many
functions (e.g., random number generators, ARCSIN, LOG, etc.); conditional (IF) statements
can be specified. |
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T-test
| One-sample, grouped (i.e.,
independent samples), or paired. |
Dependent
variable: TOTPAID Total dues
Grouping variable: TYPE
Mean
Std.Dev. Min. Max. N
TYPE equals 1
316.2649 208.9703 1.0000
1500.0000 67
TYPE equals 2
281.2727 150.9422 1.0000
650.0000 55
F-test for equality of variances:
F score: 1.9167 with 66 and 54 df...Sig.= 0.0147
Mean of group 1 minus mean of group 2: 34.9922
Pooled variance estimate t-test:
Standard error of difference: 33.6837
t score: 1.0388 with 120 df..Two-tail sig.= 0.3008
Separate variance estimate t-test:
Standard error of difference: 32.6499
t score: 1.0717 with 118 df..Two-tail sig.= 0.2858
Valid cases: 122 Missing cases: 23
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Add
cases or variables
| Lets you add new data (either cases
or variables) to an existing EcStatic system file either manually or from ASCII files in
nearly any format |
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Case
selection
| Lets you specify a case selection
criterion to be applied by all statistical procedures. This criterion is a logical
expression of the same format used in conditional statements in Transformations, which can
include multiple conditions separated by AND or OR, and almost any transformation
function. |
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Edit
data
| A powerful, screen-oriented data
editor that lets you change data values. |
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Generate
dummy cases
| Lets you generate cases containing
only missing values, for which you can then generate data (for example, random numbers)
using the Transformation procedure. |
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Help
| Context-sensitive help is available
at the touch of the F1 key or help button. |
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Make
subset
| Make a copy of an EcStatic system
file using only certain variables, or the same variables in a different order, optionally
respecting case selection if it is in effect. This allows you to make an EcStatic system
file containing only cases that pass the criterion you specify. |
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Merge
EcStatic system files
| A particularly powerful tool which
allows you to combine data from two sets even if the two data sets share only some (or
even none) of the same variables or cases. You can specify that cases in the two data sets
should be matched using key variables, concatenated, or matched sequentially. The Merge
utility is especially useful for studies conducted over time, in which the pool of
subjects contributing data at each measuring point may change. |
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Missing
data handling
| EcStatic allows you to define a
value (independently for each variable) as representing missing data, and automatically
excludes missing values from calculations. |
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Multiple
system files
| You can have more than one system
file open at a time, allowing for easy switching among data sets. |
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Notes
| EcStatic offers a Notes box in each
EcStatic system file window. The Notes box allows you to store some text along with the
system file. For example, you might wish to enter notes about the source of the data, any
transformations you have performed, or ideas for analysis that occur to you as you work. |
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Sort
cases
| Lets you sort the cases in an
EcStatic system file using multiple sort keys, specifying an ascending or descending sort
on each key. |
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Text
editor
| EcStatic 3.0 has a built-in text
editor, which you can use to edit any standard text file. In addition, all EcStatic output
is displayed in an output window, which is itself a text editor. This means that you can
tailor your output (for example, to fit the needs of a publication) within EcStatic. You
can also scroll through the output you have generated, remove extraneous information, save
the output in a text file, or print the output at any time. |
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Windows
multitasking
| One of the features of Windows is
multitasking, the ability to run more than one program at once. EcStatic supports
multitasking, so you can do other things while EcStatic is doing a long calculation. |
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Limits/Requirements:
Number of cases in system file:
Essentially unlimited for most practical purposes. (If you have the maximum
number of variables, the maximum number of cases in a system file exceeds eight million.)
Number of variables in system file: 255 (7 in the free trial
version)
System requirements: EcStatic runs under any version of Windows
from 3.1 on, including 95, 98, 2000, NT, and XP. It occupies less than 2MB of disk space
when installed. |
Get EcStatic Today!
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| Copyright © 2005 by Someware in
Vermont All Rights Reserved. |
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