00276b0c-27b3-43f4-a285-f8c79921b5a0cd4e33de-e170-4c5e-b5b7-30141a713dbaHousehold Demo - Random memberFalseDoobloSupport-Ofer6360019165938700006360019335660321123155378903999970000TrueFalse19False0SurveyToGo.UserLogic.Creator.SurveyLogicTempl<?xml version="1.0" encoding="utf-16"?>
<UserLogicContents xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
<Items>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtJumpingRule</QTp>
<Key>1</Key>
<Name>HandleQuestionJump_1</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
<QJmp />
<CJmp />
<OJmp>
<eJumpQuestionResult>ejqrCancel</eJumpQuestionResult>
</OJmp>
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtExpression</QTp>
<Key>10</Key>
<Name>QuestionExpression_10</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>2</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>9</Key>
<Name>QuestionStart_9</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>3</int>
<int>8</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>4</Key>
<Name>QuestionStart_4</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>3</Key>
<Name>QuestionStart_3</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>11</Key>
<Name>QuestionStart_11</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>3</int>
<int>10</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtEnd</QTp>
<Key>4</Key>
<Name>QuestionEnd_4</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>8</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtChapter</HTp>
<STp>estLast</STp>
<CTp>echtEnterIteration</CTp>
<QTp>eqhtLast</QTp>
<Key>3</Key>
<Name>IterationEnter_3</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
</Items>
<Source>// Question symbols
var Q_1 = null;var Q_2 = null;var D1 = null;var A0 = null;var A1 = null;var A2 = null;var A3 = null;var A4 = null;var A5 = null;var A6 = null;var A7 = null;var A8 = null;var A9 = null;
function StartSurvey()
{
/*_@_SS_START_@*/
/*_@_SS_END_@*/
}
/*_@_USERCODE_START_@*/
/*!!This is my first function!
Here is where I describe it's use!!*/
function first()
{
var myInt;
}
function dblToJSArray(inArray){
var retVal = new Array();
for(var i=0; i<inArray.length; i++){
retVal.push(inArray[i]);
}
return retVal;
}
function dblColorFromRGB(red, green, blue){
return (255<<24)+ (red<<16) + (green<<8) + blue;
}
function dblDistanceFromGPSFence (fenceLat, fenceLon)
{
var pi = Math.PI;
var fenceLatInRad=fenceLat* pi / 180;
var fenceLonInRad=fenceLon* pi / 180;
var targetLatInRad = GetGPSLocation().Latitude * pi / 180;
var targetLonInRad = GetGPSLocation().Longitude * pi / 180;
var dist = Math.acos(Math.sin(targetLatInRad) * Math.sin(fenceLatInRad) + Math.cos(targetLatInRad) * Math.cos(fenceLatInRad) * Math.cos(targetLonInRad - fenceLonInRad)) * 6371;
return dist;
}
function dblIsInGPSFence (fenceLat, fenceLon, distInKM)
{
var dist = dblDistanceFromGPSFence(fenceLat, fenceLon);
var retVal = false;
if(dist<distInKM){
retVal=true;}
else{
retVal=false;
}
return retVal;
}
function dblDistanceBetweenTwoLocations (firstLat, firstLon, secondLat, secondLon)
{
var pi = Math.PI;
var firstLatInRad=firstLat* pi / 180;
var firstLonInRad=firstLon* pi / 180;
var targetLatInRad = secondLat * pi / 180;
var targetLonInRad = secondLon * pi / 180;
var dist = Math.acos(Math.sin(targetLatInRad) * Math.sin(firstLatInRad) + Math.cos(targetLatInRad) * Math.cos(firstLatInRad) * Math.cos(targetLonInRad - firstLonInRad)) * 6371;
return dist;
}
function dblSumNumericGrid(inQ)
{
var retVal=0;
var numOfTopics=GetTopicCount(inQ);
var i;
for(i=1; i<=numOfTopics; i++)
{
if (IsTopicVisible(inQ,i)) {
retVal+=AnswerChoice(inQ,i);
}
}
return retVal;
}
function dblContainsOneOf(inQTarget,inAnswers)
{
var retVal = false;
var numOfAnswers = inAnswers.length;
var i;
for (i=0;i< numOfAnswers;i++) {
if (Contains(inQTarget,inAnswers[i])) {
retVal = true;
break;
}
}
return retVal;
}
//function dblContainsAll(inQTarget,inAnswers)
//{
// var retVal = true;
// var numOfAnswers = arguments.length-1;
// var i;
// for (i=0;i< numOfAnswers;i++) {
// retVal = retVal && Contains(inQTarget,arguments[i+1]);
// }
// return retVal;
//}
function dblContainsAllOf(inQTarget,inAnswers)
{
var retVal = true;
var numOfAnswers = inAnswers.length;
var i;
for (i=0;i< numOfAnswers;i++) {
retVal = retVal && Contains(inQTarget,inAnswers[i]);
}
return retVal;
}
function dblNumOfTopicsContains(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<=GetTopicCount(inQ);i++){
if (IsTopicVisible(inQ,i) && AnswerChoice(inQ,i) == inValueToCheck) {
retVal++;
}
}
return retVal;
}
function dblNumOfTopicsContainsChoice(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<=GetTopicCount(inQ);i++){
if (IsTopicVisible(inQ,i) && ContainsChoice(inQ,i,inValueToCheck)) {
retVal++;
}
}
return retVal;
}
function dblNumOfIterContains(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<IterationIndex;i++){
if (ContainsIter(inQ,inValueToCheck,i)) {
retVal++;
}
}
return retVal;
}
function dblSetSpecificTopic(inQ, inTopicIndex, inValue)
{
var curTopics = GetTopicCount(inQ);
var newAnswers=new Array();
var newArIdx=0;
var i;
for (i=0;i< curTopics;i++) {
var actualTopic = i+1;
if (actualTopic == inTopicIndex) {
newAnswers[i] = inValue;
}
else {
newAnswers[i] = AnswerChoice(inQ,actualTopic);
}
}
SetAnswer(inQ,newAnswers);
}
function dblSetSpecificTopicChoice(inQ, inTopicIndex, inValue)
{
var curTopics = GetTopicCount(inQ);
var newAnswers=new Array();
newAnswers.push(inValue);
var i;
var ansArr = GetAnswersChoice(inQ, inTopicIndex);
for (i=0;i < ansArr.length;i++)
{
newAnswers.push(ansArr[i]);
}
SetAnswerChoice(inQ, inTopicIndex, newAnswers);
}
function dblSetSpecificAnswer(inQ, inAnswerIdx, inChecked)
{
var curAnswers = GetAnswers(inQ);
var newAnswers=new Array();
var newArIdx=0;
var i;
for (i=0;i< curAnswers.length;i++) {
if (curAnswers[i] != inAnswerIdx) {
newAnswers[newArIdx] = curAnswers[i];
newArIdx++;
}
}
if (inChecked) {
newAnswers[newArIdx] = inAnswerIdx;
}
if (newAnswers.length > 0) {
SetAnswer(inQ,newAnswers);
}
else {
ClearAnswer(inQ);
}
}
function dblSetAnswersByAnswers(inQTarget,inQids)
{
var numOfQues = inQids.length;
var numOfAnswers = GetAnswerCount(inQids[0]);
var i;
for (i=1;i<= numOfAnswers;i++) {
var contained = false;
var j;
for (j=0; j<numOfQues;j++) {
contained = Contains(inQids[j],i);
if (contained) {
break;
}
}
if (contained) {
dblSetSpecificAnswer(inQTarget, i,true);
}
}
}
function dblSetAnswersByAnswersEx (inQTarget,inQids,inExcludeHiddenTargetAnswers)
{
var numOfQues = inQids.length;
var numOfAnswers = GetAnswerCount(inQids[0]);
var i;
// go over all answers and for each check if it exists in the source questions
for (i=1;i<= numOfAnswers;i++) {
var contained = false;
var j;
// go over all source questions and check if the answer is checked
for (j=0; j<numOfQues;j++) {
contained = Contains(inQids[j],i);
if (contained) {
break;
}
}
// in case it was contained check if need to add to target question
if (contained) {
var addAnswer = true;
if ((inExcludeHiddenTargetAnswers) && !IsAnswerVisible(inQTarget,i)) {
addAnswer = false;
}
if (addAnswer) {
dblSetSpecificAnswer(inQTarget, i,true);
}
}
}
}
function dblSumOfTopics (inQuesIdx)
{
var retVal = 0;
var i;
var numOfTopics = GetTopicCount(inQuesIdx);
for (i=0;i<numOfTopics;i++) {
var currTopic = i+1;
if (IsTopicVisible (inQuesIdx, currTopic)) {
var currValue = AnswerChoice(inQuesIdx, currTopic);
if (currValue != -99999) {
retVal += currValue;
}
}
}
return retVal;
}
function dblFormatNumberToCurrency(num) {
var retVal = "";
var num = num.toString().replace(/\$|\,/g,'');
if(isNaN(num))
num = "0";
var sign = (num == (num = Math.abs(num)));
num = Math.floor(num*100+0.50000000001);
var cents = num%100;
num = Math.floor(num/100).toString();
var addZero = "";
if(cents<10) {
addZero = "0";
}
for (var i = 0; i < Math.floor((num.length-(1+i))/3); i++) {
num = num.substring(0,num.length-(4*i+3))+','+num.substring(num.length-(4*i+3));
}
retVal = (((sign)?'':'-') + '$' + num + '.' +addZero+ cents)
return retVal;
}
function dblToFloat(inNumber)
{
var retVal = parseFloat(inNumber.toString().replace(",", "."));
return retVal;
}
function dblSetAnswerVisible(inQTarget,inValue,inReset,inAnswers)
{
var retVal = false;
var numOfAnswers = inAnswers.length;
var i;
if (inReset) {
SetAnswerVisible(inQTarget,true);
}
for (i=0;i< numOfAnswers;i++) {
SetAnswerVisible(inQTarget, inAnswers[i], inValue);
}
return retVal;
}
function dblContainsByText(inQIdx, inText)
{
var retVal = false;
var i=0;
for (i=0; i<GetAnswerCount(inQIdx); i++){
var idx = i+1;
var text = AnswerText(inQIdx,idx);
if (text == inText) {
if (Contains(inQIdx,idx)) {
retVal = true;
break;
}
}
}
return retVal;
}
function dblFilterAnswersByAnswersByText (inTargetQ, inShow,inSourceQ)
{
SetAnswerVisible(inTargetQ,!inShow);
var i =0;
for (i=0; i<GetAnswerCount(inTargetQ);i++){
var idx = i+1;
var text = AnswerText(inTargetQ,idx);
if (dblContainsByText(inSourceQ,text)) {
SetAnswerVisible(inTargetQ,idx,inShow);
}
}
return true;
}
function dblFilterTopicsByAnswersByText (inTargetQ, inShow, inSourceQ)
{
SetTopicVisible(inTargetQ,!inShow);
var i=0;
for (i=0; i<GetTopicCount(inTargetQ); i++){
var idx = i+1;
var text = GetTopicOriginalText(inTargetQ,idx);
if (dblContainsByText(inSourceQ,text)) {
SetTopicVisible(inTargetQ,idx,inShow);
}
}
return true;
}
function dblGetSubjectStoreRow(inStoreName,inIDColumnName,inID)
{
var retVal = null;
try {
var table = GetTableFromStore(inStoreName,"","@@"+inIDColumnName+"='"+inID+"'","");
if (table != null && table.RowCount >0) {
var row = table[0];
retVal = row;
}
}
catch(err)
{
retVal = null;
}
return retVal;
}
function dblIsRegEx (pattern,value) {
var pattern = new RegExp(pattern);
return pattern.test(value);
}
function dblDateToSQLDate(inDate)
{
var retVal = "";
retVal = inDate.Year+"-"+inDate.Month+"-"+inDate.Day;
return retVal;
}
function dblOrderArray(inOrderArray, inDataArray)
{
var retVal = CreateRandomArray(inOrderArray.length);
var i = 0;
for (i = 0; i < inOrderArray.length; i++) {
retVal[i] = inDataArray[inOrderArray[i]-1];
}
return retVal;
}
function dblRespondentID ()
{
var retVal = "".concat("D", SID, "-", DeviceIndex);
return retVal;
}
/*_@_USERCODE_END_@*/
//_@_AddHandler_@{ Begin Add Handlers
//_@_AddHandler_@} End Add Handlers
//_@_HandlerZone_@{
function
IterationEnter_3()
{
return (IterationIndex <= Answer(D1));
}
function QuestionEnd_4()
{
if (Answer(CurrQues) == 1) {
SetAnswer(A5,IterationIndex);
}
}
function QuestionStart_11()
{
SetTextFormat(CurrQues,AnswerIter(4,Answer(QRef(11)).ToInt()).ToString());
}
function QuestionStart_3()
{
SetTextFormat(CurrQues,IterationIndex);
}
function QuestionStart_4()
{
if(ContainsAnyIter(CurrQues,1)) {
SetAnswerVisible(CurrQues,1,false)
}
if(ContainsAnyIter(CurrQues,2)) {
SetAnswerVisible(CurrQues,2,false)
}
}
function QuestionStart_9()
{
SetTextFormat(CurrQues,AnswerIter(A0,Answer(A5)));
}
function QuestionExpression_10()
{
//This code will randomly choose a number between 1 and the maximum number of members.
//That number will be the household member chosen.
var chosen_member = Random(Answer(D1))+1;
return chosen_member;
}
function HandleQuestionJump_1(ioJump)
{
/*_@_CC_@{1}_@_CC_@*/
ioJump.retVal = 4;//eJumpQuestionResult.ejqrNone
ioJump.outIdx = -2;
if (1 < 0) {
}
if (Answer(CurrQues)==2) {
ioJump.retVal = 2;//eJumpQuestionResult.ejqrCancel
ioJump.outIdx = -2;
return;
}
}
//_@_HandlerZone_@}
function JSDBLInitAllScript()
{
}var eJumpQuestionResult = {ejqrNext:0, ejqrSubmit:1,ejqrCancel:2,ejqrFilter:3,ejqrNone:4,ejqrIndex:5,ejqrChapter:6};
var ePlatform = {None:0, Web:1, PC:2, PDA:4, MobileWeb:8, SmartPhone:16, Android:32, AllWindows:31, AllJSEnabled: 34, All:63};
var eAttachmentSource = {easDefault:0};
var eAskButtons = {OKCancel:0, YesNoCancel:1, YesNo:2};
var eAskResult = {None:0, OK:1, Yes:2, No:3, Cancel:4};
var eQuotaFilledResult = {Default:0,Filter:1,Cancel:2,Nothing:3};
var eExtraLabel = { MatrixLower:0, MatrixMiddle:1, MatrixUpper:2, MatrixIrrelevant:3, ScaleLower:4, ScaleMiddle:5, ScaleUpper:6, CountersTotal:7,CountersRemaining:8, NumericGridTotal:9, NumericGridRemaining:10 };
var eULQuestionType = {eqtYesNo: 0,
eqtAmerican: 1,
eqtNumeric: 2,
eqtFreeText: 3,
eqtMultiSelect: 4,
eqtRating: 5,
eqtScale: 6,
eqtMatrix: 7,
eqtMultiTopics: 8,
eqtNoQuestion: 9,
eqtDateTime: 10,
eqtCounters: 11,
eqtStopper: 12,
eqtMassiveMultiSelect: 13,
eqtExpression: 14,
eqtMultiText: 15,
eqtMultiNumeric: 16,
eqtMultimedia: 17,
eqtMultiTopicsSelect: 18,
eqtGPSQuestion: 19,
eqtListSource: 20,
eqtPositionTopicsOnImage: 21,
eqtNumOfTypes: 22};
var eRenderGridAlignment = {Top: 0,
Center: 1,
Bottom: 2};
var eInterviewExtraField = {AttemptsPerCompletedInterview: 0,
AdherenceToMethodology: 1};
</Source>
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H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6ycvmvTu0f8DVNIIpTEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6+M3TXr36P8B2S/MCTEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx69cnXzbp3aP/B1t6G+cyAAAAH4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx65dNevfo/wF1B76WMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxq8+b9O7R/wNCnyKPMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxyesmvXv0/wA+f8jSMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx69cnTXr36P8B28cSlTEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxTxw36d2j/wdMGPaGMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6+dNevfo/wH2fa4zMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6zd5k949+n8Axy2WxjEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6y+eNPwv/bOuL/Prs6dHOzt7Dz6d7Ey39x5M7m3v3zvf3872Du5vnx9MHzx8uLc7uZ/tPL5rmz9+sp6+zVu8+Piu/V0/fZEt8vTu0eOn+Xm2LtufWFdthnbB34/fXK9yfMo/H//EOm9awpqgbO8+vuv9+fhlVufLVr+wfzz+ankyz6m72fGyuaIhPyG80OtdGdg3M7rd+OiOXuRX6et5nrfme/70NiO+9z4j3rn9gO/yrP4/e/JI2wUCAAA=