Welcome to the LimeSurvey Community Forum

Ask the community, share ideas, and connect with other LimeSurvey users!

Array (text) type question with customized drop down in specific columns

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226673 by CultureCommunication
Array (text) type question with customized drop down in specific columns was created by CultureCommunication
Please help us help you and fill where relevant:Your LimeSurvey version: [see right hand bottom of your LimeSurvey admin screen]Own server or LimeSurvey hosting:Survey theme/template:==================(Hello. I'm using LimeSurvey Cloud: version 5.3.6. Bootswatcch theme. I am learning about LimeSurvey nor have experience in programming. I would like to create a dropdown list that I can reuse in specific columns of my subquestions (along the X axis) for 3 question groups. To do this, I created an Array (text) question, with  subquestions. I found a code in this forum that I modified slightly, but I could not apply it to specific columns.  Any guidance will be greatly appreciated.

Please Log in to join the conversation.

  • Joffm
  • Joffm's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226674 by Joffm
Replied by Joffm on topic Array (text) type question with customized drop down in specific columns
Hi,
please only provide lss exports.

What means 

but I could not apply it to specific columns.

Maybe you use the wrong script.

Here the "usual" to insert different dropdowns different columns.
[url] forums.limesurvey.org/forum/can-i-do-thi...menu-in-array#226612 [/url]

If ALL columns use the same dropdown you may use this (maybe the one you used)
[url] forums.limesurvey.org/forum/can-i-do-thi...ultiple-scale#225294 [/url]

And here a solution to have different dropdowns in each cell of the array.
[url] forums.limesurvey.org/forum/design-issue...ions?start=15#215118 [/url]

Again: The best is to provide your lss export.

Joffm
 
Volunteers are not paid.
Not because they are worthless, but because they are priceless

Please Log in to join the conversation.

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226850 by CultureCommunication
Replied by CultureCommunication on topic Array (text) type question with customized drop down in specific columns
Hello,
Thank you for the information provided. I use array questions in my survey. Each question has sub-questions (Y axis) and another set of sub-questions (X axis). I need to insert a drop-down list (a, b, c, d...) For example: Column (Column 2, Column 4, column 6, etc) and every Row (Row1, Row2, Row3, Row4, etc.). My problem is understanding how to use the syntax for variables or where to substitute (QID) and identifying sub-questions numbers (for X and Y axis) so I can have the same drop down in every other column and in all of my rows. Attached is my .lss file. I tried different combinations of question codes but I wasn't successful. 

Many thanks

Please Log in to join the conversation.

  • tpartner
  • tpartner's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226852 by tpartner
Replied by tpartner on topic Array (text) type question with customized drop down in specific columns
Please provide a small export (.lss file) containing only the relevant questions so the volunteers providing help here don't have to waste time figuring out a survey with 10s of questions.
Cheers,
Tony Partner
Solutions, code and workarounds presented in these forums are given without any warranty, implied or otherwise.

Please Log in to join the conversation.

  • Joffm
  • Joffm's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226861 by Joffm
Replied by Joffm on topic Array (text) type question with customized drop down in specific columns
1.

where to substitute (QID)

You do not substitute QID. {QID} is a placeholder that is filled automatically with the actual question ID (curly brackets -> ExpressionScript)

2.

and identifying sub-questions numbers (for X and Y axis)

An easy way is to code the
y-axis "Y001", "Y002",...
x-axis "X001", "X002",...

3.

so I can have the same drop down in every other column and in all of my rows


To do this you may use the script I linked in my previous post.
If ALL columns use the same dropdown you may use this
forums.limesurvey.org/forum/can-i-do-thi...ultiple-scale#225294

It is this one
Code:
<script type="text/javascript" charset="utf-8">
    $(document).on('ready pjax:scriptcomplete',function(){
        var thisQuestion = $('#question{QID}');
 
        // Insert selects
        $('.answer-item', thisQuestion).append('<select class="inserted-select form-control list-question-select">\
 <option value="">Please choose...</option>\
<option value="1">very good</option>\
<option value="2">good</option>\
<option value="3">neither / nor</option>\
<option value="4">poor</option>\
<option value="5">very poor</option>\
<option value="6">DK/NA</option>\
  </select>'); 
 
        // Listeners
        $('.inserted-select', thisQuestion).on('change', function(i) {
            if($(this).val() != '') {
                $(this).closest('.answer-item').find('input:text').val($.trim($(this).val())).trigger('change');
            }
            else {
                $(this).closest('.answer-item').find('input:text').val('').trigger('change');
           }
        });
 
        // Returning to page
        $('input:text', thisQuestion).each(function(i) {
            var thisCell = $(this).closest('.answer-item');
            var inputVal = $.trim($(this).val());
            $('select.inserted-select', thisCell).val(inputVal);
        });
 
        // Clean-up styles
        $('select.inserted-select', thisQuestion).css({
            'max-width': '100%'
        });
        $('input:text', thisQuestion).css({
            'position': 'absolute',
            'left': '-9999em'
        });
    });
</script>

As you see in  this line of the script
$('.answer-item', thisQuestion).append
there is no reference neither to column nor to row




If you like to have different dropdowns you have to use the other script that I linked in my previous post
Here the "usual" to insert different dropdowns different columns.
forums.limesurvey.org/forum/can-i-do-thi...menu-in-array#226612
Code:
<script type="text/javascript" charset="utf-8">
  $(document).on('ready pjax:scriptcomplete',function(){
    var thisQuestion = $('#question{QID}');
 
    // Insert selects
    $('.answer-item.answer_cell_X001', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
  <option value="">...</option>\
  <option value="1">Mère</option>\
  <option value="2">Pére</option>\
  <option value="3">Soeur</option>\
  <option value="4">Frère</option>\
</select>');
    $('.answer-item.answer_cell_X002', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
  <option value="">...</option>\
  <option value="1">masculin</option>\
  <option value="2">femelle</option>\
  <option value="3">autre chose </option>\
</select>');
 
    // Listeners
    $('.inserted-select', thisQuestion).on('change', function(i) {
      if($(this).val() != '') {
        $(this).closest('.answer-item').find('input:text').val($('option:selected', this).val()).trigger('change');
      }
      else {
        $(this).closest('.answer-item').find('input:text').val('').trigger('change');
      }
    });
 
  // Returning to page
    $('.with-select input:text', thisQuestion).each(function(i) {
      var thisCell = $(this).closest('.answer-item');
      var inputText = $.trim($(this).val());
      $('select.inserted-select', thisCell).val(inputText);
    });
 
 
    // Clean-up styles
    $('select.inserted-select', thisQuestion).css({
      'max-width': '100%'
    });
    $('.with-select input:text', thisQuestion).css({
      'position': 'absolute',
      'left': '-9999em'
    });
  });
</script>

Here you see the line
$('.answer-item.answer_cell_X001', thisQuestion)
So this refers to column "X002"
You remember what I wrote in #2.

For each of your columns you can enter this block of "selects"
And you get this
 



Well, now you should be able to insert the dropdowns into your array.

And the last script I linked in my previous post shows how to insert different dropdowns into each row and column.

Joffm

 
Volunteers are not paid.
Not because they are worthless, but because they are priceless

Please Log in to join the conversation.

  • tpartner
  • tpartner's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226863 by tpartner
Replied by tpartner on topic Array (text) type question with customized drop down in specific columns
Here is a slightly different version that allows designating the drop-downs according to column number instead of sub-question code. It also handles drop-downs with different values and labels.

Code:
<script type="text/javascript" data-author="Tony Partner">
 
  $(document).on('ready pjax:scriptcomplete',function(){
    var thisQuestion = $('#question{QID}');
 
    // Column specific classes
    $('tr.subquestion-list', thisQuestion).each(function(i) {
      $('th, td', this).each(function(i) {
        $(this).addClass('column-'+i);
      });
    });
 
    // Insert selects into column 2
    if($('.answer-item.column-2 .inserted-select', thisQuestion).length == 0) {
      $('.answer-item.column-2', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
        <option value="">Please choose...</option>\
        <option value="M">M</option>\
        <option value="Q">Q</option>\
        <option value="U">U</option>\
        <option value="W">W</option>\
        <option value="X">X</option>\
        <option value="Z">Z</option>\
      </select>');
    } 
 
    // Insert selects into column 4
    if($('.answer-item.column-4 .inserted-select', thisQuestion).length == 0) {
      $('.answer-item.column-4', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
        <option value="">Please choose...</option>\
        <option value="A">A</option>\
        <option value="B">B</option>\
        <option value="C">C</option>\
        <option value="D">D</option>\
        <option value="E">E</option>\
        <option value="F">F</option>\
      </select>');  
    } 
 
    // Listeners on select elements
    $('.inserted-select', thisQuestion).on('change', function(i) {
      if($(this).val() != '') {
        $(this).closest('.answer-item').find('input:text').val($.trim($('option:selected', this).text())).trigger('keyup');
      }
      else {
        $(this).closest('.answer-item').find('input:text').val('').trigger('keyup');
      }
    });
 
    // Returning to page
    $('.with-select input:text', thisQuestion).each(function(i) {
      var thisCell = $(this).closest('.answer-item');
      var inputText = $.trim($(this).val());
      var selectval = $('select.inserted-select option', thisCell).filter(function () { return $(this).html() == inputText; }).val();
      $('select.inserted-select', thisCell).val(selectval);
    });
 
    // Clean-up styles
    $('select.inserted-select', thisQuestion).css({
      'max-width': '100%'
    });
    $('.with-select input:text', thisQuestion).css({
      'position': 'absolute',
      'left': '-9999em'
    });
  });
</script>
Cheers,
Tony Partner
Solutions, code and workarounds presented in these forums are given without any warranty, implied or otherwise.

Please Log in to join the conversation.

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226864 by CultureCommunication
Replied by CultureCommunication on topic Array (text) type question with customized drop down in specific columns
Apologies, attached is the .lss file with relevant question.Thanks

Please Log in to join the conversation.

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226865 by CultureCommunication
Replied by CultureCommunication on topic Array (text) type question with customized drop down in specific columns
Thank you for your quick reply. I tried your suggestion but it's not working. I am new at this, so I'm certainly missing something. If I understand well, the script above is independent of the subquestion numbers? So, I do not need to specify subquestion numbers (as indicated below)

Would my issue be related to the following?
var thisQuestion = $('#question{QID}');

1) var thisQuestion = $('#SQ004{3038}'); Is this correct?
Where:
1) #question (this my subquestion (X axis) 
2) {QID} refers to my ID question number?

Thank you

Please Log in to join the conversation.

  • Joffm
  • Joffm's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226866 by Joffm
Replied by Joffm on topic Array (text) type question with customized drop down in specific columns
Hi,
var thisQuestion = $('#question{QID}');

1) var thisQuestion = $('#SQ004{3038}'); Is this correct?
Where:
1) #question (this my subquestion (X axis) 
2) {QID} refers to my ID question number?

Sorry, why do I write
You do not substitute QID. {QID} is a placeholder that is filled automatically with the actual question ID
You leave it as it is.

@tpartner
yes it's an improvement, as we need/use these classes "column-1", "column-2" also for the individual column widths, or individual colors.
 
Volunteers are not paid.
Not because they are worthless, but because they are priceless

Please Log in to join the conversation.

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226867 by CultureCommunication
Replied by CultureCommunication on topic Array (text) type question with customized drop down in specific columns
Thank you so much!!! It has been very helpful and educational :)

The script below worked really well after a few tests. My mistake was that I was including the script at the level of my subquestions (along the X axis) but it wasn't working. I modified the script (columns) and include it at the level of my question.

<script type="text/javascript" data-author="J PartnerTest">
 
    $(document).ready(function() {
        var thisQuestion = $('#question{QID}');
 
        // Column specific classes
        $('tr.subquestion-list', thisQuestion).each(function(i) {
            $('th, td', this).each(function(i) {
                $(this).addClass('column-'+i);
            });
        });
 
        // Insert selects into column 2
        if($('.answer-item.column-2 .inserted-select', thisQuestion).length == 0) {
            $('.answer-item.column-2', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
                <option value="">Please choose...</option>\
                <option value="M">M</option>\
                <option value="Q">Q</option>\
                <option value="U">U</option>\
                <option value="W">W</option>\
                <option value="X">X</option>\
                <option value="Z">Z</option>\            </select>');
        } 
 
        // Insert selects into column 4
        if($('.answer-item.column-4 .inserted-select', thisQuestion).length == 0) {
            $('.answer-item.column-4', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
                <option value="">Please choose...</option>\
                <option value="M">M</option>\
                <option value="Q">Q</option>\
                <option value="U">U</option>\
                <option value="W">W</option>\
                <option value="X">X</option>\
                <option value="Z">Z</option>\                </select>');  
        } 
      
      // Insert selects into column 6
        if($('.answer-item.column-6 .inserted-select', thisQuestion).length == 0) {
            $('.answer-item.column-6', thisQuestion).addClass('with-select').append('<select class="inserted-select form-control list-question-select">\
                <option value="">Please choose...</option>\
                <option value="M">M</option>\
                <option value="Q">Q</option>\
                <option value="U">U</option>\
                <option value="W">W</option>\
                <option value="X">X</option>\
                <option value="Z">Z</option>\                </select>');  
        } 
 
        // Listeners on select elements
        $('.inserted-select', thisQuestion).on('change', function(i) {
            if($(this).val() != '') {
                $(this).closest('.answer-item').find('input:text').val($.trim($('option:selected', this).text())).trigger('keyup');
            }
            else {
                $(this).closest('.answer-item').find('input:text').val('').trigger('keyup');
            }
        });
 
        // Returning to page
        $('.with-select input:text', thisQuestion).each(function(i) {
            var thisCell = $(this).closest('.answer-item');
            var inputText = $.trim($(this).val());
            var selectval = $('select.inserted-select option', thisCell).filter(function () { return $(this).html() == inputText; }).val();
            $('select.inserted-select', thisCell).val(selectval);
        });
 
        // Clean-up styles
        $('select.inserted-select', thisQuestion).css({
            'max-width': '100%'
        });
        $('.with-select input:text', thisQuestion).css({
            'position': 'absolute',
            'left': '-9999em'
        });
    });
</script>

[img]data:image/png;base64,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[/img]
 

Please Log in to join the conversation.

  • CultureCommunication
  • CultureCommunication's Avatar Topic Author
  • Offline
  • New Member
  • New Member
More
2 years 1 month ago #226868 by CultureCommunication
Replied by CultureCommunication on topic Array (text) type question with customized drop down in specific columns
My apologies, attached is a file of the results.

Please Log in to join the conversation.

  • tpartner
  • tpartner's Avatar
  • Offline
  • LimeSurvey Community Team
  • LimeSurvey Community Team
More
2 years 1 month ago #226873 by tpartner
Replied by tpartner on topic Array (text) type question with customized drop down in specific columns
Again you pasted an image.

It's impolite to change the data-author value unless you have significantly changed the code. This is a credit for the original author.
Cheers,
Tony Partner
Solutions, code and workarounds presented in these forums are given without any warranty, implied or otherwise.

Please Log in to join the conversation.

Lime-years ahead

Online-surveys for every purse and purpose

Pricing & Plans
Get started

Legal

About Us

Open Source