Grid Table Command - Enter Grid Table
In the case below there are a number of variations to the standard Grid Table display. These are activated by using the Popup Menus triggered when the opposite (right) mouse button is clicked over a plot item. In this example Social Studies and Classical studies are highlighted in their 3D colors because the "Highlight in Grid Table" Popup Menu item was chosen. Furthermore, if you do not close the Grid Table but swap it to the background by clicking somewhere on the plot, other items can be highlighted using the mouse. The items who's fixed row or cell is white are those items that were previously inspected using the mouse over the plot.
It is in this way that you can perform the "Match
Breaking" inspection ritual of being able to edit the Grid Table in order
to easily discover new rows or columns which will "pull apart" similar
After making changes and if the grid was previously analyzed, clicking "Update" will replot the changes.
Clicking "Cancel" after making changes will reload the grid from disk.
If you had previously held the mouse over a plotted item and had entered this Grid Table routine using the F2 key then that item is highlighted, e.g.
Note: - You can position "grab" handles to resize any row or column. However, these resizings aren't remembered for next time if the Grid Table is closed.
This table form of input allows you to enter both the names of the elements and constructs as well as the value for each cell.
In the Dos program, both ELEMENT NAMES and CONSTRUCT NAMES were LABELS which were six characters in length. inGridX maintains the use of short labels though they aren't restricted to 6 characters and just can't contain spaces.
The abbreviated labels (without spaces) for the
elements are entered into the first non fixed row directly above the data
cells and abbreviations for the constructs are entered into the first non
fixed column directly alongside the data cells.
The full descriptions for the elements are entered into the very last row and the full descriptions for the constructs are entered into the very last column. Warning!!! - only use one slash </> to separate the opposites. E.g., "Good at this subject / Not Good at this subject". These bipolar descriptions are displayed at opposite ends of the construct line when the "Split" option is chosen.
Logically, the split descriptions for elements
can't be shown opposite each other as is the case with constructs so, if
you must, choose to display either the "Left" or "Right" side of the pair.
Note: - That there is the additional short form of GraphicCell method for designating images to elements and constructs. Unlike the image mapped PictureClips the selected GraphicCell is shown in the fixed row or column and only when that fixed cell is clicked does the image appear.
If you have selected an area in this manner, you can paste data into it using the Edit > Paste (Ctrl+V) command but you will receive an "Incompatible Paste Area" message if the number of rows and columns you are copying is different from what you selected. This is not the same as the Paste Special method for setting up and entire grid which must have a selected area of exactly the (rows+3) * (columns +3).
When weighting is turned on, an extra column of data at the end of the grid is used to enter a number for each row. This number is then multiplied by all the elements in that row prior to analyzing the grid.
If you are considering adding weights to data which is outside the scope of the rest of the grid it is worth processing section one again and again. Each time you will modify the weights until this variation for this data comes within an acceptable boundary as determined by the rest of the grid data. Then you can continue with the analysis. The cells at the top and bottom of the Weight column are reserved for future use and will probably specify default formulae to be used.
You can become quite imaginative with the descriptions of grids that
contain inordinate data as in the following example from the crimetspc.txt
grid that was used to explain the
This is an analyzed weighted "View" Grid named "CRIME RATES at 1000 people per square mile" Completed by "SAS Institute & T.S.P .& j.Legg" on "06-27-1987". The grid was formed by evaluating "48 STATES" in terms of "10 VARIABLES" using a "-100%" significance factor.Note: - If you Transpose the grid you will loose the weight column.
Bear in mind that, when inspecting the plot, the interpretation of the meaning of the components is made by inspecting the distance of the construct points away from the center and their proximity to the component line.
In the DOS program, because these construct points are within the same space as the elements denoted by the "*" place holding character there was only logically room for one name. It didn't matter if the emergent construct was favorable or unfavorable it always lay toward the top score. However if there is a mixture of favorable and unfavorable construct names, then the only table that would give an inconclusive interpretation is the 'Section 2: Strength of Feeling' table where the sign of the 'totals' doesn't indicate what it does if the construct names were all favorable. i.e. if the total is -ve the feeling is negative and +ve means the feeling is positive.
Anyway, these early analysis results are mainly used for logical checking of meanings as it is the plot that's important.
What you should now do in order to extract the meanings underlying any
general grid (say for hobbies) is to find factors (or constructs) that
discriminate between the hobbies (or elements). When you are trying to
come up with initial terms avoid the temptation of thinking too widely.
Do this by :-
Take a pair of hobbies at random and asking what is it that makes one different from the other, or
Take three random hobbies at a time and ask what is it that makes one different from the other two.
After doing the above for a few rows start looking at pairs of hobbies that seem to be scoring the same and force construct names to pop up in your mind that will pull the hobbies apart and use those.
When the repertory technique starts to fail in coming up with new constructs, start asking yourself about other dimensions that are important to you that you haven't yet thought of, such as 'lust' etc.
Ask others for constructs that they might use. But don't let anyone influence your meaning of the terms.
When you find it hard to think of new constructs for normal grids you should have been able to obtain at least as many constructs as there are elements. Very small grids are useless and very large grids are too confusing.
Having said all that there is no reason why ranking cannot be used instead of grading.
Experienced grid users may quickly become used to thinking in greater dimensions and are aware of a greater convergence of signal lines that impinge on the grading at hand. These impingement's could be considered noise and the user compensates with a decreased differentiation. However, the experienced user realizes that the introduction of cognitive noise sharpens the focus.