Download 2 - Quia

CCs details
37
If we at Lertap central wanted to "score" these items, we'd be content to follow the
conventional pattern of letting "strongly disagree" equal one point, "disagree" two
points, ..., and "strongly agree" five points.
Respondents could end up with a low total "score" of two (2) points, and a top total
"score" of ten (10) points. They'd get the low "score" if they answered "strongly
disagree" on both items. They'd get the top "score" if they chose "strongly agree" on
both items.
It's not really necessary to think about "scores" such as these, but some people find
them useful. And, if they do, and if they work for WATC, the West Australian Tourist
Commission, they'd likely want to reverse the scoring for the second item.
Say what? Reverse the scoring? You bet; it's a common happenstance. The WATC
mob would want people to strongly disagree with the second item above. They'd give
"strongly disagree" a "score", or weight, of 5, "disagree" a weight of 4, ..., and
"strongly agree" a weight of 1. This way the top scores will come from people who not
only love WA's beaches, but think they're better than those found around Maui.
Okay then, we've got some basic terms under the belt. Of course, if we're on one of
those beaches, we may not have a belt to put them under, but let's proceed anyway.
Say we had five items of the sort shown above. Say we asked 200 WA-based people
to respond to the items, and took the trouble to fly to Hawaii, paddle out to Maui, and
ask another 200 folks to respond to the same five questions. We entered the 400
responses into a Lertap Data worksheet, with some sort of ID code in column 1, a
location code of "W" or "M" in column 2, and the answers to the five questions in
columns 3, 4, 5, 6, and 7. Were we to look down columns 3 through 7, we'd see 1s,
and 2s, and 3s, and 4s, and 5s, corresponding to answers of "strongly disagree"
through to "strongly agree".
Having entered the data, we need to go to work in Lertap's CCs worksheet.
Example A1:
We started with this set of two CCs cards:
*col (c3-c7)
*sub AFF
These two simple cards are all that some people might use to process the results.
The *col card gets Lertap and Excel to read information from the Data worksheet,
looking at five columns, 3 through 7. The *sub card has the AFF control word -this is necessary in order to get Lertap to process the items as affective ones;
without this card, and without the AFF control word on it, Lertap would have tried
to process the items as cognitive ones, and would have wanted to find a *key card
with the right answers to each item.
Lertap will "score" each item, giving a weight of 1 every time it encounters a 1 in the
item's Data column, a weight of 2 for a response of 2, and so on. The minimum
score on any item is 1, the maximum is 5.
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