WinCross Desktop Edition: Windows 7 SP1 or higher
WinCross Network Edition: Windows Server 2000 or higher
Ram: 1GB
Available drive space: 500MB

You can specify how you want WinCross to round percents and statistics in Setup|Job Settings|Rounding.

There are two options for rounding. The first option is to round up values over 5 and round down values under 5. For rounding equal to 5, round to the nearest even number. The second option is to always round up values of 5 or more and round down values less than 5.

Rounding in WinCross is based upon three general rules:

Rule 1 - If the remainder beyond the last digit to be reported is less than 5, drop the last digit. Rounding to one decimal place, the number 5.3467 becomes 5.3.

Rule 2 - If the remainder is greater than 5, increase the final digit by 1. The number 5.798 becomes 5.8 if rounding to 1 digit.

Rule 3 - To prevent rounding bias, if the remainder is exactly 5, then round the last digit to the closest even number. Thus the number 3.55 (rounded to 1 digit) would be 3.6 (rounding up) and the number 6.450 would round to 6.4 (rounding down) if rounding to 1 decimal. When the number to the left of the 5 is even, no rounding occurs. For example, 4.225 would become 4.22. When the number to the left of 5 is odd, rounding will occur. For example, 4.215 would become 4.22.

See page 12 in Hurlburt, R. (1994) Comprehending Behavioral Statistics, Brooks/Cole, Pacific Grove, CA.

Use the TEST statement in the Glossary to search for respondents that break certain conditions.

Depress and hold the Ctrl key while individually clicking on those tables you want to run, or use the Edit Selections option on the Run|Tables dialog.

The difference between a table mean and row mean is based on the type of table you’re creating. A table mean is used where every row in the calculation of the mean has only one value. If the rows represent value ranges, then the # (pound symbol) operator must be used to give the row a single value for calculations.

A row mean is appropriate when rows represent a value range and the mean is to be calculated off the actual distribution of data. In that event, a row is created with the appropriate text and logic showing the value range you want to use. In the Row Options dialog box (Setup|Tables|Row Options) you should select the appropriate statistics (Mean, Standard Deviation, Standard Error, etc.).

Please see the WinCross help topic Indexed Variables Examples for full details.

Select Run | Tables | Excel.

WinCross provides a robust number of Excel options that can be changed per run without having to make any job changes.

WinCross provides many solutions for weighting.

• Simple Weighting creates a weight based off a single variable.
• Sample Balancing creates a weight using multiple variables.
• Glossary - ASSIGN values to a DECLARED/DEFINED variable.
• If a weight is already defined in the data, simply apply the weight to the desired banner(s).

Mean Summary tables are easily created using the Summary of Means option in Setup|Express Tables for SPSS Data. You select the group of variables, choose the code value or range of code values for the rows and WinCross creates the table for you. The Question Title from each variable selected becomes the row text for each row and the Code Value(s) or range of Code Values specified becomes the row logic.

Top/Bottom Box Summary tables can also be easily created using the Summary of Frequencies option in Setup|Express Tables for SPSS Data. You select the group of variables, choose the code value or range of code values for the rows and the code value or range of code values for the percentaging base of each row and WinCross creates the table for you. The Question Title from each variable selected becomes the row text for each row and the Code Value(s) or range of Code Values specified becomes the row logic. WinCross automatically creates two sets of rows, one set to be used for percentaging bases with the Hide row (HR) option specified and the second set of rows is automatically created with the percentaging base specified

Please see the WinCross help topic Mean Summary Tables for full details.

Mean, Median and Mode.

Standard Deviation and Standard Error.

6,000 rows per table.

500 banner columns per banner.

What is a two-tailed test?

First let’s start with the meaning of a two-tailed test. If you are using a significance level of 0.05, a two-tailed test allots half of your alpha to testing the statistical significance in one direction and half of your alpha to testing statistical significance in the other direction. This means that .025 is in each tail of the distribution of your test statistic. When using a two-tailed test, regardless of the direction of the relationship you hypothesize, you are testing for the possibility of the relationship in both directions. For example, we may wish to compare the mean of a sample to a given value x using a t-test. Our null hypothesis is that the mean is equal to x. A two-tailed test will test both if the mean is significantly greater than x and if the mean significantly less than x. The mean is considered significantly different from x if the test statistic is in the top 2.5% or bottom 2.5% of its probability distribution, resulting in a p-value less than 0.05.

What is a one-tailed test?

Next, let’s discuss the meaning of a one-tailed test. If you are using a significance level of .05, a one-tailed test allots all of your alpha to testing the statistical significance in the one direction of interest. This means that .05 is in one tail of the distribution of your test statistic. When using a one-tailed test, you are testing for the possibility of the relationship in one direction and completely disregarding the possibility of a relationship in the other direction. Let’s return to our example comparing the mean of a sample to a given value x using a t-test. Our null hypothesis is that the mean is equal to x. A one-tailed test will test either if the mean is significantly greater than x or if the mean is significantly less than x, but not both. Then, depending on the chosen tail, the mean is significantly greater than or less than x if the test statistic is in the top 5% of its probability distribution or bottom 5% of its probability distribution, resulting in a p-value less than 0.05. The one-tailed test provides more power to detect an effect in one direction by not testing the effect in the other direction. A discussion of when this is an appropriate option follows.

To read the full article visit this article.