Returns the HTML for a JavaScript pop-up. The HTML file that contains the text to be shown in the popup (File.htm) is assumed to be in the graphics folder. Or, the HTML file can be elsewhere if referenced with the full http:// path.
The format is:
PopUp("Link Text", "File.htm", Width, Height)
Example 1:
Assume that you have saved an HTML file containing the help in the study graphics folder. The text below is placed within the question text, such as within Header 1 or Header 2.
PopUp("Click Here for Survey Help", "SurveyHelp.htm", 500, 500)
When the survey is run, the above function displays a link that the respondent may click on to launch a popup window containing the information in SurveyHelp.htm.
The respondent can retire the popup window and return to the survey by clicking the "X" in the upper-right corner of the popup window.
Example 2:
In this example, we reference an HTML page not in the graphics folder, but somewhere else on your web site. To do this, we include the full URL path to the HTML file.
PopUp("Click Here for Survey Help", "http://www.mysurvey.com/mystudy/help/SurveyHelp.htm", 500, 500)
Strict Importance
If you use ACA's "Strict" importance function, we do not assume that importance is defined simply by computing the range from the most and least preferred levels within an attribute. We refer to the spread in utility between this respondent's prior best and worst levels (as specified in the attribute a priori order, or by the respondent in the ACARAT questions). If the best minus worst utility is negative, we set the range equal to zero. Strict importance keeps virtually unimportant attributes that potentially have reversals (out-of-order utilities) from getting inflated importance weights. It reduces the effect of random error on importance calculations.
Consider the following part worth utilities:
$10 1.45
$15 1.50
$20 0.75
$25 0.50
Under standard importance calculations, we take the full spread in utilities for this attribute (1.50 - 0.50 = 1). With Strict importance, we take the spread in importance between the prior best and worst levels (1.45 - 0.50 = 0.95).
As another example, consider the following part worth utilities:
Has widget "A" 0.20
No widget "A" 0.30
If having widget "A" is expected to be preferred to not having widget "A," based on prior rank-order (or from the respondent's ACARAT question), these utilities suggest a "reversal." The standard importance calculation takes the full range of 0.10 into the computation. Strict importance recognizes this as a reversal, and sets the importance equal to 0 for this attribute. We assume that the reversal is due to this attribute having virtually no importance, with random error overcoming any correct signal from the respondent regarding his/her true preference for levels within this attribute.
Note: this function only applies within the ACA/Web questionnaire. The market simulator (SMRT software) uses the standard definition of attribute importance.
