{"id":66993,"date":"2026-10-13T11:10:26","date_gmt":"2026-10-13T08:10:26","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=66993"},"modified":"2026-10-13T11:10:26","modified_gmt":"2026-10-13T08:10:26","slug":"cronbachs-alpha-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/cronbachs-alpha-calculator\/","title":{"rendered":"Cronbach's Alpha Calculator"},"content":{"rendered":"<section class=\"not-prose calculator-box\" aria-labelledby=\"calculator-title\"><div class=\"flex items-baseline sm:items-center justify-between gap-2 sm:gap-3\"><div class=\"flex flex-col sm:flex-row sm:items-center gap-2\"><span class=\"icon icon-calculator text-primary-700! text-base! dark:text-primary-300!\" aria-hidden=\"true\"><\/span><h2 id=\"calculator-title\" class=\"text-lg font-display font-bold\">Assess the Internal Consistency of a Scale<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"66993\" data-favorite-title=\"Cronbach&#039;s Alpha\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/cronbachs-alpha-calculator\/\" data-favorite-excerpt=\"Enter the scores of up to six scale items, one item per box, and get Cronbach&#039;s alpha, standardized alpha, item statistics and the alpha you would get if each item were deleted.\" aria-label=\"Add to Favorites\" data-favorite-icon=\"icon icon-wpcalc-bell-curve\">\n    <span class=\"icon icon-shape-star-empty\" aria-hidden=\"true\"><\/span>\n  <\/button>\n  <div class=\"calcdash-favorite__tip\" aria-hidden=\"true\">\n   <span class=\"favorite-tooltip\" id=\"favorite-tooltip\"><\/span>\n  <\/div>\n  <span class=\"sr-only\" role=\"status\" id=\"favorite-status\"><\/span>\n<\/div><\/div><form action=\"https:\/\/wpcalc.com\/en\/statistics\/cronbachs-alpha-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-66993\" data-post=\"66993\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"is-single field\" id=\"input-1\"><span class=\"font-semibold\">Item scores \u2014 each field holds one item&#039;s scores for all respondents<\/span><\/div><div class=\"field\" id=\"input-2\"><label for=\"field-2\">Item 1 scores<\/label><textarea id=\"field-2\" name=\"item_1_scores\">4; 3; 5; 2; 4<\/textarea><\/div><div class=\"field\" id=\"input-3\"><label for=\"field-3\">Item 2 scores<\/label><textarea id=\"field-3\" name=\"item_2_scores\">5; 3; 4; 2; 5<\/textarea><\/div><div class=\"field\" id=\"input-4\"><label for=\"field-4\">Item 3 scores<\/label><textarea id=\"field-4\" name=\"item_3_scores\">4; 4; 5; 3; 4<\/textarea><\/div><div class=\"field\" id=\"input-5\"><label for=\"field-5\">Item 4 scores<\/label><textarea id=\"field-5\" name=\"item_4_scores\">3; 3; 4; 2; 4<\/textarea><\/div><div class=\"field\" id=\"input-6\"><label for=\"field-6\">Item 5 scores (optional)<\/label><textarea id=\"field-6\" name=\"item_5_scores_optional\"><\/textarea><\/div><div class=\"field\" id=\"input-7\"><label for=\"field-7\">Item 6 scores (optional)<\/label><textarea id=\"field-7\" name=\"item_6_scores_optional\"><\/textarea><\/div><\/fieldset><div class=\"buttons\"><button type=\"submit\" data-text=\"Re-Calculate\" id=\"calculate-button\" data-post=\"66993\">Calculate<\/button><button type=\"reset\">Reset<\/button><\/div><div class=\"field is-checkbox hidden!\" id=\"field-auto-calc\"><input type=\"checkbox\" id=\"auto-calc\"><label for=\"auto-calc\">Calculate automatically<\/label><small>If enabled, the result will update automatically when you change any value.<\/small><\/div><div class=\"fieldset-result is-hidden\" aria-labelledby=\"result-title\" aria-live=\"polite\" role=\"region\"> <h3 class=\"result-title bg-gradient-to-r from-primary-50 to-gray-50 dark:from-primary-900 dark:to-gray-800\" id=\"result-title\"><span class=\"icon icon-s-pulse\" aria-hidden=\"true\"><\/span> Internal Consistency Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>Cronbach&#039;s alpha<\/span><span class=\"result-term\">\u03b1<\/span><\/span><span class=\"field-value\" id=\"result-1\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-2\"><span class=\"field-title\"><span>Standardized alpha (from average inter-item correlation)<\/span><span class=\"result-term\">\u03b1\u2032<\/span><\/span><span class=\"field-value\" id=\"result-2\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-3\"><span class=\"field-title\"><span>Number of items<\/span><span class=\"result-term\">k<\/span><\/span><span class=\"field-value\" id=\"result-3\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-4\"><span class=\"field-title\"><span>Respondents<\/span><span class=\"result-term\">n<\/span><\/span><span class=\"field-value\" id=\"result-4\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-5\"><span class=\"field-title\"><span>Sum of item variances<\/span><span class=\"result-term\">\u03a3s\u00b2\u1d62<\/span><\/span><span class=\"field-value\" id=\"result-5\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-6\"><span class=\"field-title\"><span>Total-score variance<\/span><span class=\"result-term\">s\u00b2\u209c<\/span><\/span><span class=\"field-value\" id=\"result-6\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result is-column\" id=\"output-7\"><span class=\"field-title\"><span>Item statistics<\/span><\/span><span class=\"field-value\" id=\"result-7\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result is-column\" id=\"output-8\"><span class=\"field-title\"><span>How alpha is computed and how to interpret it<\/span><\/span><span class=\"field-value\" id=\"result-8\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><\/div><div class=\"result-actions\"><button type=\"button\" class=\"copy-link\"><svg viewBox=\"0 0 20 20\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M12.232 4.232a2.5 2.5 0 0 1 3.536 3.536l-1.225 1.224a.75.75 0 0 0 1.061 1.06l1.224-1.224a4 4 0 0 0-5.656-5.656l-3 3a4 4 0 0 0 .225 5.865.75.75 0 0 0 .977-1.138 2.5 2.5 0 0 1-.142-3.667l3-3Z\"\/><path d=\"M11.603 7.963a.75.75 0 0 0-.977 1.138 2.5 2.5 0 0 1 .142 3.667l-3 3a2.5 2.5 0 0 1-3.536-3.536l1.225-1.224a.75.75 0 0 0-1.061-1.06l-1.224 1.224a4 4 0 1 0 5.656 5.656l3-3a4 4 0 0 0-.225-5.865Z\"\/><\/svg><span class=\"copy-link__text\">Copy link to this calculation<\/span><\/button><span class=\"sr-only\" role=\"status\" id=\"copy-link-status\"><\/span><\/div><\/div><a href=\"#respond\" class=\"hidden transition-opacity duration-300 opacity-0 w-50 text-sm justify-center items-center gap-2 px-4 py-2 rounded bg-gray-200 text-gray-700 hover:bg-gray-300\" id=\"leave-comment\"><span class=\"icon icon-comments\" aria-hidden=\"true\"><\/span>Leave a Comment<\/a><\/form><\/section><section id=\"calc-reactions\" class=\"not-prose hidden my-12 bg-gradient-to-r from-primary-50 to-gray-50 border border-indigo-100 rounded-xl px-6 py-4 shadow-sm\" data-post=\"66993\" aria-live=\"polite\" aria-labelledby=\"calc-reactions-title\"><p id=\"calc-reactions-title\" class=\"text-sm text-gray-500 text-center mb-2\">How did this result make you feel?<\/p><div role=\"group\" aria-labelledby=\"calc-reactions-title\" class=\"grid grid-cols-3 sm:flex sm:flex-row sm:justify-around gap-4 sm:items-center sm:flex-wrap\"><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"like\"><span class=\"reaction-count\" data-reaction-count=\"like\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude00 <\/span><span class=\"reaction-description font-medium\">Like <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"helpful\"><span class=\"reaction-count\" data-reaction-count=\"helpful\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\udca1 <\/span><span class=\"reaction-description font-medium\">Helpful <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"confused\"><span class=\"reaction-count\" data-reaction-count=\"confused\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude15 <\/span><span class=\"reaction-description font-medium\">Confused <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"disappointed\"><span class=\"reaction-count\" data-reaction-count=\"disappointed\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude1e <\/span><span class=\"reaction-description font-medium\">Disappointed <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"inaccurate\"><span class=\"reaction-count\" data-reaction-count=\"inaccurate\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\u274c <\/span><span class=\"reaction-description font-medium\">Inaccurate <\/span><\/button><\/div><div id=\"reaction-message\" class=\"hidden mt-8 rounded-md border border-primary-100 bg-white\/50 backdrop-blur-sm px-4 py-2 text-sm text-center shadow-sm\"><\/div><\/section><div class=\"calcdash-ad not-prose calcdash-ad--calc_result calcdash-ad--in-article\"><ins class=\"adsbygoogle\" style=\"display:block\" data-ad-client=\"ca-pub-1721569815777345\" data-ad-slot=\"6317458308\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<style id=\"wpcoderpro-inline-1\">.formula-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section class=\"formula-box\" aria-labelledby=\"formula-title\">\r\n\t<div id=\"formula-title\" class=\"not-prose font-display mb-4\"><span class=\"icon icon-formula\" aria-hidden=\"true\"><\/span><h2>Cronbach's Alpha Formula<\/h2><\/div>\r\n\t<figure class=\"not-prose formula\">\r\n\t\t<figcaption class=\"formula-title\">Formula<\/figcaption>\r\n\t\t<div class=\"text-base text-gray-800\" id=\"formula\">\n\\[ \\alpha = \\frac{k}{k-1}\\left(1 - \\frac{\\sum_{i=1}^{k} s_i^2}{s_t^2}\\right) \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(k\\) \u2014 number of items in the scale<\/li>\n<li>\\(s_i^2\\) \u2014 variance of item \\(i\\) across respondents<\/li>\n<li>\\(s_t^2\\) \u2014 variance of the total scores (each respondent's sum across all items)<\/li>\n<\/ul>\n<p>The formula compares how much variance the items have individually with how much variance their sum has. If the items measure the same underlying construct, their shared variance makes the total score vary more than the items do separately, and alpha approaches 1. A related form, the standardized alpha, uses the average inter-item correlation \\(\\bar{r}\\):<\/p>\n<p>\\[ \\alpha' = \\frac{k\\bar{r}}{1 + (k-1)\\bar{r}} \\]<\/p>\n<p>All variances are sample variances with denominator \\(n-1\\).<\/p>\n<p>\r\n<\/section>\n<style id=\"wpcoderpro-inline-459\">.calculation-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section id=\"calculation\" class=\"calculation-box\" aria-labelledby=\"calculation-title\">\r\n\t<div id=\"calculation-title\" class=\"not-prose font-display\"><span class=\"icon icon-unordered-list\" aria-hidden=\"true\"><\/span><h2>Cronbach's Alpha \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> a 4-item questionnaire was completed by 5 respondents, with the default scores: item 1 \u2014 4, 3, 5, 2, 4; item 2 \u2014 5, 3, 4, 2, 5; item 3 \u2014 4, 4, 5, 3, 4; item 4 \u2014 3, 3, 4, 2, 4.<\/p>\n<p>\\[ s_1^2 = 1.3,\\quad s_2^2 = 1.7,\\quad s_3^2 = 0.5,\\quad s_4^2 = 0.7 \\quad\\Rightarrow\\quad \\textstyle\\sum s_i^2 = 4.2 \\]<\/p>\n<p>\\[ t = 16,\\ 13,\\ 18,\\ 9,\\ 17 \\quad\\Rightarrow\\quad s_t^2 = 13.3 \\]<\/p>\n<p>\\[ \\alpha = \\frac{4}{3}\\left(1 - \\frac{4.2}{13.3}\\right) = 0.9123 \\]<\/p>\n<p>The average inter-item correlation is \\(\\bar{r} = 0.786\\), giving a standardized alpha:<\/p>\n<p>\\[ \\alpha' = \\frac{4 \\times 0.786}{1 + 3 \\times 0.786} = 0.9362 \\]<\/p>\n<p><strong>Result:<\/strong> \\(\\alpha = 0.9123\\) and \\(\\alpha' = 0.9362\\) \u2014 excellent internal consistency for this small demonstration set of 4 items and 5 respondents.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to use the calculator<\/h2>\n<ol>\n<li>Enter the scores of <strong>Item 1<\/strong> in the first textarea: one score per respondent, separated by spaces, new lines or semicolons. Decimal commas (e.g. 3,5) are accepted.<\/li>\n<li>Fill in <strong>Item 2<\/strong> to <strong>Item 4<\/strong> the same way, keeping the respondents in the same order and providing a score for every respondent on every item.<\/li>\n<li>Add <strong>Item 5<\/strong> and <strong>Item 6<\/strong> only if your scale has more than four items; leave them empty otherwise.<\/li>\n<li>Read the headline results: <strong>Cronbach's alpha<\/strong>, <strong>standardized alpha<\/strong>, number of items, respondents, and the two variances used in the formula.<\/li>\n<li>Check the <strong>item statistics table<\/strong> for the mean, SD, corrected item\u2013total correlation, and alpha-if-deleted of each item, and the interpretation text for how the result is conventionally rated.<\/li>\n<\/ol>\n<h2>What Cronbach's alpha measures<\/h2>\n<p>Cronbach's alpha is the most widely used measure of the <em>internal consistency<\/em> of a scale \u2014 a questionnaire, test or inventory whose items are summed into a single score. It answers the question: do the items hang together and measure one underlying construct, or do they pull in different directions? Conceptually, alpha estimates the share of the total-score variance that is due to what the items have in common rather than to random measurement error.<\/p>\n<p>Alpha depends on two things: how strongly the items correlate with each other, and how many items there are. A longer scale of well-correlated items yields a higher alpha, which is why a short 3-item scale can struggle to reach 0.7 even when the items are good. The standardized alpha \\(\\alpha'\\) removes the effect of differing item variances by working from the average inter-item correlation; it is the value you would obtain if all items were first converted to z-scores.<\/p>\n<p>Conventional benchmarks, popularized by George and Mallery, are: \\(\\alpha \\ge 0.9\\) excellent, \\(\\ge 0.8\\) good, \\(\\ge 0.7\\) acceptable, \\(\\ge 0.6\\) questionable, \\(\\ge 0.5\\) poor, below 0.5 unacceptable. Around 0.8 is the usual target for research scales; for short scales or exploratory work, 0.7 is often considered adequate. Values above 0.95 are not automatically better \u2014 they can signal redundant items that ask nearly the same question twice.<\/p>\n<p>A high alpha is evidence of consistency, not of validity: a scale can be perfectly consistent while measuring the wrong thing. If you want to check how your total score relates to other measures, see the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/spearman-rank-correlation-calculator\/\">Spearman rank correlation calculator<\/a>; to compare the distributions of individual items before summing them, the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/skewness-and-kurtosis-calculator\/\">skewness and kurtosis calculator<\/a> is a useful companion.<\/p>\n<h2>Assumptions, limitations and practical tips<\/h2>\n<ul>\n<li><strong>Reverse-scored items must be recoded first.<\/strong> If some items are worded in the opposite direction, their scores have to be flipped (e.g. on a 1\u20135 scale, 6 minus the score) before you enter them, otherwise alpha will be artificially low or even negative.<\/li>\n<li><strong>Complete data, same order.<\/strong> Every item needs a score for every respondent, in the same respondent order. Missing entries produce an error rather than a silently wrong result.<\/li>\n<li><strong>Tau-equivalence.<\/strong> Alpha assumes all items measure the construct with equal true-score variances. When items differ in quality, alpha understates the actual reliability, so treat it as a lower bound.<\/li>\n<li><strong>Unidimensionality.<\/strong> Alpha is designed for one construct at a time. If your items tap two distinct dimensions, compute alpha separately for each subscale rather than for the whole set.<\/li>\n<li><strong>Use the item statistics to improve the scale.<\/strong> A corrected item\u2013total correlation below about 0.3 suggests a misfitting item, and an alpha-if-deleted clearly above the overall alpha flags a candidate for removal. Drop at most one item at a time and recompute.<\/li>\n<li><strong>Sample size matters.<\/strong> Alpha is estimated from data; with few respondents the estimate is imprecise, so always report the number of respondents alongside the coefficient.<\/li>\n<li><strong>Item type.<\/strong> Alpha is appropriate for items scored on a continuous or ordinal scale (e.g. Likert ratings). For dichotomous items the same computation yields the Kuder\u2013Richardson formula 20, so the calculator works for right\/wrong test data too.<\/li>\n<\/ul>\n<h2>Quick interpretation reference<\/h2>\n<table>\n<thead>\n<tr>\n<th>Cronbach's alpha<\/th>\n<th>Conventional reading<\/th>\n<th>Typical action<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>0.9 and above<\/td>\n<td>Excellent<\/td>\n<td>Check for redundant items if &gt; 0.95<\/td>\n<\/tr>\n<tr>\n<td>0.8 \u2013 0.89<\/td>\n<td>Good<\/td>\n<td>Suitable for research use<\/td>\n<\/tr>\n<tr>\n<td>0.7 \u2013 0.79<\/td>\n<td>Acceptable<\/td>\n<td>Fine for short scales<\/td>\n<\/tr>\n<tr>\n<td>0.6 \u2013 0.69<\/td>\n<td>Questionable<\/td>\n<td>Review weak items<\/td>\n<\/tr>\n<tr>\n<td>0.5 \u2013 0.59<\/td>\n<td>Poor<\/td>\n<td>Revise or shorten the scale<\/td>\n<\/tr>\n<tr>\n<td>Below 0.5<\/td>\n<td>Unacceptable<\/td>\n<td>Do not use as a single score<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Once you trust your scale, you may want to compare scores between groups or conditions \u2014 the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/kruskal-wallis-test-calculator\/\">Kruskal\u2013Wallis test calculator<\/a> handles three or more groups, and the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/cohens-d-calculator\/\">Cohen's d calculator<\/a> quantifies the size of the difference.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Enter the scores of up to six scale items, one item per box, and get Cronbach's alpha, standardized alpha, item statistics and the alpha you would get if each item were deleted.<\/p>\n","protected":false},"author":3168,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[74],"tags":[75],"class_list":["post-66993","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-descriptive-statistics"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/66993","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/users\/3168"}],"replies":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/comments?post=66993"}],"version-history":[{"count":2,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/66993\/revisions"}],"predecessor-version":[{"id":67027,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/66993\/revisions\/67027"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=66993"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=66993"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=66993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}