{"id":2951,"date":"2020-10-21T12:20:09","date_gmt":"2020-10-21T11:20:09","guid":{"rendered":"https:\/\/www.snapsurveys.com\/support-snapxmp\/?post_type=epkb_post_type_1&#038;p=2951"},"modified":"2022-01-17T16:05:40","modified_gmt":"2022-01-17T16:05:40","slug":"statistical-calculations-on-tables","status":"publish","type":"epkb_post_type_1","link":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/","title":{"rendered":"Statistical calculations on tables"},"content":{"rendered":"\n<p>\n  You can perform a chi-squared test to see if there is a significant relationship between two variables.\n<\/p>\n\n\n\n<p>\n  You can display indexed counts or sums to give a relative measure of individual cell values.\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a id=\"post-2951-_Toc35499226\"><\/a>Applying the chi-square test <\/h2>\n\n\n\n<p>\n  The Chi-square test can be applied to single-response variables. It compares observed (actual) and expected (theoretical) values in order to establish whether there is a significant relationship between two variables in a table. \n<\/p>\n\n\n\n<p>\n  To calculate the Chi-square Statistic and related statistics for a cross-tabulation or grid table, \n<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>\n    select the Chi square option in the Analysis Definition dialog\n  <\/li><li>\n    click \n    <img decoding=\"async\" width=\"21\" height=\"17\" class=\"wp-image-2952\" alt=\"Chi-squared button\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png\">\n    on the table analysis toolbar\n  <\/li><\/ul>\n\n\n\n<p>\n  The Chi-square and associated statistics will be displayed above the table\n<\/p>\n\n\n\n<p>\n  You can display the expected values by selecting the <strong>Expected Counts<\/strong> option in the <strong>Analysis Definition<\/strong> dialog .These are the values that would be expected in each cell of the table if the row variable were not influenced by the column variable or vice-versa (the Null Hypothesis). They are calculated as:\n<\/p>\n\n\n\n<p>\n  (Row Total) x (Column Total) \/ Table Total (Base). \n<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img fetchpriority=\"high\" decoding=\"async\" width=\"499\" height=\"449\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/openendedquantity3-png.png\" alt=\"Table showing Parking by Age\" class=\"wp-image-2953\"\/><\/figure>\n\n\n\n<p>\n  Since you cannot always compare Chi-squared values directly, Snap generates a statement about the result.\n<\/p>\n\n\n\n<p>\n  The interpretation of the Chi-square test result follows a seven point scale and categorises the certainty of a relationship (or non-relationship) between the variables in the cross-tabulation as follows:\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><p>\n  Message\n<\/p><\/td><td><p>\n  Meaning\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of a relationship, significant at the 1% level<\/strong>\n<\/p><\/td><td><p>\n  There is a <strong>very strong<\/strong> relationship between the variables.\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of a relationship, significant at the 5% level<\/strong>\n<\/p><\/td><td><p>\n  There is a <strong>strong <\/strong>relationship between the variables.\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of a relationship, significant at the 10% level<\/strong>\n<\/p><\/td><td><p>\n  There is a relationship between the variables.\n<\/p><\/td><\/tr><tr><td><p><strong>The test is inconclusive<\/strong>\n<\/p><\/td><td><p>\n  The variables are neither related nor unrelated.\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of no relationship, significant at the 10% level<\/strong>\n<\/p><\/td><td><p>\n  There is evidence of <strong>no<\/strong> relationship.\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of no relationship, significant at the 5% level<\/strong>\n<\/p><\/td><td><p>\n  There is <strong>strong <\/strong>evidence of <strong>no <\/strong>relationship.\n<\/p><\/td><\/tr><tr><td><p><strong>There is evidence of no relationship, significant at the 1% level<\/strong>\n<\/p><\/td><td><p>\n  There is <strong>very strong<\/strong> evidence of <strong>no <\/strong>relationship.\n<\/p><\/td><\/tr><tr><td><p><strong>Error: Chi-squared test invalid. Degrees of freedom is zero<\/strong>\n<\/p><\/td><td><p>\n  There is not enough data to calculate the Chi-square statistic\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\n  The information given in the Chi-square report is as follows:\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><p>\n  Detail\n<\/p><\/td><td><p>\n  Meaning\n<\/p><\/td><\/tr><tr><td><p><strong>Chi-square value<\/strong>\n<\/p><\/td><td><figure><img decoding=\"async\" width=\"109\" height=\"41\" class=\"wp-image-2954\" alt=\"https:\/\/www.snapsurveys.com\/help\/15551.bmp\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15551-bmp.png\"><\/figure><p>\n  \n<\/p><p>\n  where O is the observed (actual) value, and E the expected value for each cell.\n<\/p><\/td><\/tr><tr><td><p><strong>Degrees of freedom<\/strong>\n<\/p><\/td><td><p>\n  Relates to the number of choices that can be made in fixing the values of the expected frequencies. It is calculated as\n<\/p><figure><img loading=\"lazy\" decoding=\"async\" width=\"87\" height=\"20\" class=\"wp-image-2955\" alt=\"https:\/\/www.snapsurveys.com\/help\/15552.bmp\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15552-bmp.png\"><\/figure><p>\n  \n<\/p><p>\n  where r is the number of rows in the table and c is the number of columns. The above is a 5 by 5 table, and therefore has 16 (= 4 4) degrees of freedom.\n<\/p><\/td><\/tr><tr><td><p><strong>Cram\u00e9rs V<\/strong>\n<\/p><\/td><td><p>\n  Used to compare tables of different dimensions and different sample sizes. It is calculated as\n<\/p><figure><img loading=\"lazy\" decoding=\"async\" width=\"63\" height=\"49\" class=\"wp-image-2956\" alt=\"https:\/\/www.snapsurveys.com\/help\/15555.bmp\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15555-bmp.png\"><\/figure><p>\n  \n<\/p><p>\n  where n is the number of cases and k the smaller of the number of rows and columns. Its value always lies between 0 and 1.\n<\/p><\/td><\/tr><tr><td><p><strong>Phi Coefficient<\/strong>\n<\/p><\/td><td><p>\n  Calculated as\n<\/p><figure><img loading=\"lazy\" decoding=\"async\" width=\"36\" height=\"45\" class=\"wp-image-2957\" alt=\"https:\/\/www.snapsurveys.com\/help\/15553.bmp\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15553-bmp.png\"><\/figure><p>\n  \n<\/p><p>\n  where n is the number of cases. For 2 by 2 tables Phi always lies between 0 and 1. If one dimension is greater than 2, Phi can be greater than 1. Phi can be used to compare tables of the same dimension but different sample sizes.\n<\/p><\/td><\/tr><tr><td><p><strong>Contingency Coefficient<\/strong>\n<\/p><\/td><td><p>\n  Calculated as\n<\/p><figure><img loading=\"lazy\" decoding=\"async\" width=\"68\" height=\"49\" class=\"wp-image-2958\" alt=\"https:\/\/www.snapsurveys.com\/help\/15554.bmp\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15554-bmp.png\"><\/figure><p>\n  \n<\/p><p>\n  It will always have a value between 0 and 1. Tables of different dimensions cannot be compared.\n<\/p><\/td><\/tr><tr><td><p><strong>Evidence of Relationship<\/strong>\n<\/p><\/td><td><p>\n  A statement indicating the strength of the relationship (or non-relationship) between the row and column variables. This is used because comparison of chi-square values from tables of different dimensions or different sample sizes is meaningless. \n<\/p><\/td><\/tr><tr><td><p><strong>Warning<\/strong>\n<\/p><\/td><td><p>\n  This appears when a large number of cells in the table have small Expected Values. The reliability of the Chi-square test reduces as the proportion of cells with small expected values increases. A warning appears if more than 20% of the cells of a table have an expected value of less than 5.\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><a id=\"post-2951-_Toc35499227\"><\/a>Indexed Values <\/h2>\n\n\n\n<p>\n  Indexed Values are widely used in product research and other projects to give a relative measure of individual cell values. Indexed Values can be shown on the table by checking the appropriate box (<strong>Indexed Counts<\/strong> or <strong>Indexed Sums<\/strong>) option in Definition tab of the Analysis Definition dialog.\n<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"414\" height=\"365\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/openendedquantity5-png.png\" alt=\"Table showing Parking by Age\" class=\"wp-image-2959\"\/><\/figure>\n\n\n\n<p>\n  In general, for any individual cell in the table, the corresponding index value can be calculated from the formula:\n<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"92\" height=\"43\" src=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/https-www-snapsurveys-com-help-15558-bmp.png\" alt=\"Index value formula\" class=\"wp-image-2960\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><p>\n  where:\n<\/p><\/td><td><p>\n  v is the original cell value\n<\/p><\/td><\/tr><tr><td><p>\n  &nbsp;\n<\/p><\/td><td><p>\n  c is the column total for the column in which the cell occurs\n<\/p><\/td><\/tr><tr><td><p>\n  &nbsp;\n<\/p><\/td><td><p>\n  r is the row total of the row in which the cell occurs\n<\/p><\/td><\/tr><tr><td><p>\n  &nbsp;\n<\/p><\/td><td><p>\n  t is the table total\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\n  The figure of 100 represents a norm or expected value. Thus index values less than 100 would be considered lower than expected and index values of greater than 100 would be considered higher than expected.\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You can perform a chi-squared test to see if there is a significant relationship between two variables. You can display indexed counts or sums to give a relative measure of individual cell values. Applying the chi-square test The Chi-square test can be applied to single-response variables. It compares observed (actual) and expected (theoretical) values in [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"epkb_post_type_1_category":[66],"epkb_post_type_1_tag":[],"class_list":["post-2951","epkb_post_type_1","type-epkb_post_type_1","status-publish","hentry","epkb_post_type_1_category-analysing-open-ended"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Statistical calculations on tables | SnapSurveys<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Statistical calculations on tables | SnapSurveys\" \/>\n<meta property=\"og:description\" content=\"You can perform a chi-squared test to see if there is a significant relationship between two variables. You can display indexed counts or sums to give a relative measure of individual cell values. Applying the chi-square test The Chi-square test can be applied to single-response variables. It compares observed (actual) and expected (theoretical) values in [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/\" \/>\n<meta property=\"og:site_name\" content=\"SnapSurveys\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/snapsurveys\" \/>\n<meta property=\"article:modified_time\" content=\"2022-01-17T16:05:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@snapsurveys\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/\",\"url\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/\",\"name\":\"Statistical calculations on tables | SnapSurveys\",\"isPartOf\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png\",\"datePublished\":\"2020-10-21T11:20:09+00:00\",\"dateModified\":\"2022-01-17T16:05:40+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage\",\"url\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png\",\"contentUrl\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png\",\"width\":21,\"height\":17,\"caption\":\"Chi-squared button\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Snap XMP Support\",\"item\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp-archive\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Statistical calculations on tables\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#website\",\"url\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/\",\"name\":\"Snap XMP Support Hub\",\"description\":\"Support documentation for Snap Surveys products\",\"publisher\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#organization\",\"name\":\"Snap Surveys\",\"url\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/06\/snap-surveys-logo-fc.svg\",\"contentUrl\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/06\/snap-surveys-logo-fc.svg\",\"width\":867,\"height\":159,\"caption\":\"Snap Surveys\"},\"image\":{\"@id\":\"https:\/\/www.snapsurveys.com\/support-snapxmp\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/snapsurveys\",\"https:\/\/x.com\/snapsurveys\",\"https:\/\/www.linkedin.com\/company\/snapsurveys\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Statistical calculations on tables | SnapSurveys","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/","og_locale":"en_GB","og_type":"article","og_title":"Statistical calculations on tables | SnapSurveys","og_description":"You can perform a chi-squared test to see if there is a significant relationship between two variables. You can display indexed counts or sums to give a relative measure of individual cell values. Applying the chi-square test The Chi-square test can be applied to single-response variables. It compares observed (actual) and expected (theoretical) values in [&hellip;]","og_url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/","og_site_name":"SnapSurveys","article_publisher":"https:\/\/www.facebook.com\/snapsurveys","article_modified_time":"2022-01-17T16:05:40+00:00","og_image":[{"url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_site":"@snapsurveys","twitter_misc":{"Estimated reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/","url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/","name":"Statistical calculations on tables | SnapSurveys","isPartOf":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage"},"image":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage"},"thumbnailUrl":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png","datePublished":"2020-10-21T11:20:09+00:00","dateModified":"2022-01-17T16:05:40+00:00","breadcrumb":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#primaryimage","url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png","contentUrl":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/10\/chi-squared-button.png","width":21,"height":17,"caption":"Chi-squared button"},{"@type":"BreadcrumbList","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp\/statistical-calculations-on-tables\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.snapsurveys.com\/support-snapxmp\/"},{"@type":"ListItem","position":2,"name":"Snap XMP Support","item":"https:\/\/www.snapsurveys.com\/support-snapxmp\/snapxmp-archive\/"},{"@type":"ListItem","position":3,"name":"Statistical calculations on tables"}]},{"@type":"WebSite","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#website","url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/","name":"Snap XMP Support Hub","description":"Support documentation for Snap Surveys products","publisher":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.snapsurveys.com\/support-snapxmp\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#organization","name":"Snap Surveys","url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#\/schema\/logo\/image\/","url":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/06\/snap-surveys-logo-fc.svg","contentUrl":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-content\/uploads\/2020\/06\/snap-surveys-logo-fc.svg","width":867,"height":159,"caption":"Snap Surveys"},"image":{"@id":"https:\/\/www.snapsurveys.com\/support-snapxmp\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/snapsurveys","https:\/\/x.com\/snapsurveys","https:\/\/www.linkedin.com\/company\/snapsurveys"]}]}},"_links":{"self":[{"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1\/2951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1"}],"about":[{"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/types\/epkb_post_type_1"}],"author":[{"embeddable":true,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/comments?post=2951"}],"version-history":[{"count":2,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1\/2951\/revisions"}],"predecessor-version":[{"id":5042,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1\/2951\/revisions\/5042"}],"wp:attachment":[{"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/media?parent=2951"}],"wp:term":[{"taxonomy":"epkb_post_type_1_category","embeddable":true,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1_category?post=2951"},{"taxonomy":"epkb_post_type_1_tag","embeddable":true,"href":"https:\/\/www.snapsurveys.com\/support-snapxmp\/wp-json\/wp\/v2\/epkb_post_type_1_tag?post=2951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}