{"id":19549,"date":"2023-05-30T05:00:00","date_gmt":"2023-05-30T12:00:00","guid":{"rendered":"https:\/\/www.nwea.org\/blog\/?p=19549"},"modified":"2024-08-23T12:42:20","modified_gmt":"2024-08-23T19:42:20","slug":"dont-test-after-lunch-time-of-day-affects-test-taking-engagement","status":"publish","type":"post","link":"https:\/\/www.nwea.org\/blog\/2023\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement\/","title":{"rendered":"Don\u2019t test after lunch: Time of day affects test-taking engagement"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"850\" height=\"299\" src=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_850x300_hero-e1685128238343.jpg\" alt=\"\" class=\"wp-image-19552\" srcset=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_850x300_hero-e1685128238343.jpg 850w, https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_850x300_hero-e1685128238343-300x106.jpg 300w, https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_850x300_hero-e1685128238343-768x270.jpg 768w, https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_850x300_hero-e1685128238343-720x253.jpg 720w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure><\/div>\n\n\n<div style=\"height:3rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>When we assess a student\u2019s achievement using <a href=\"https:\/\/www.nwea.org\/map-growth\/\">MAP\u00ae Growth\u2122<\/a>, we assume they remain fully engaged throughout the test. This assumption allows us to view their <a href=\"https:\/\/connection.nwea.org\/s\/article\/What-is-the-RIT-scale?language=en_US#:~:text=A%20RIT%20score%20measures%20a,calibrated%20at%20that%20RIT%20level.\">RIT score<\/a> as an accurate indicator of what they know and can do, which can help their teacher plan instruction.<\/p>\n\n\n\n<p>As teachers are aware, however, sometimes a student becomes disengaged during testing, which usually results in a score that underestimates a student\u2019s achievement level and can mislead the teacher\u2019s interpretation of the instructional needs. Thus, the presence of disengagement threatens the validity of interpretations teachers make about their students\u2019 RIT scores.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What causes disengagement? <\/h2>\n\n\n\n<p>Disengagement can be due to a variety of factors. Some students become bored. Others aren\u2019t feeling well, experience fatigue, or become highly anxious during testing. Disengagement can therefore be viewed as the presence of any student-related factors that prevent a student from being fully engaged when they take MAP Growth.<\/p>\n\n\n\n<p>At NWEA, two indicators have been used to detect disengagement. The first is rapid-guessing behavior, in which a student answers a question much faster than the time required to read it, understand and solve its challenge, and submit an answer. Rapid guessing indicates that the student answered without really engaging with the question. The second indicator is performance decline, in which the student\u2019s test performance shows a large drop during testing. Performance decline implies that the student did not maintain full engagement throughout their test event.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What the research tells us about avoiding disengagement <\/h2>\n\n\n\n<p>One way of managing the problem posed by test-taking disengagement is to identify and avoid testing conditions under which disengagement is especially prevalent. My colleagues and I recently completed a study, which will be published soon, in which we investigated the relationship between test-taking disengagement and the time of day that testing occurred. The results of this study show that time of day clearly matters.<\/p>\n\n\n\n<p>More than half a million MAP Growth test events in both math and reading were grouped by the hour of the school day that testing began. Two indicators of disengagement were studied. A student\u2019s MAP Growth test event was deemed disengaged if at least 10% of their responses were classified as rapid guesses or their performance during the second half of the test showed a statistically significant decline from first-half performance.<\/p>\n\n\n\n<p>Our results showed that schools tend to test early, with most test events (over two-thirds) beginning during the first two hours of the day. However, there were many instances of test events occurring throughout the school day.<\/p>\n\n\n\n<p>The line graph below shows the relationships for math testing between hour of testing and the prevalence of disengagement. The rate of substantial rapid guessing tripled\u2014from 2.7% to 8.5%\u2014from 7 a.m. and 1 p.m., and the rate of increase rose after noon.<\/p>\n\n\n\n<div style=\"height:1.5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"461\" height=\"288\" src=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphMath.png\" alt=\"A line graph shows the rate of rapid guessing on math questions triples when students take MAP Growth after noon.\" class=\"wp-image-19553\" srcset=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphMath.png 461w, https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphMath-300x187.png 300w\" sizes=\"(max-width: 461px) 100vw, 461px\" \/><\/figure><\/div>\n\n\n<div style=\"height:1.5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Similarly, in reading, the prevalence of rapid guessing doubled\u2014from 8.5% to 15.5%\u2014with the rate of increase accelerating during the last two hours. In contrast, the rates of performance decline were relatively unchanged during the day and remained about 3% in math and 4% in reading.<\/p>\n\n\n\n<div style=\"height:1.5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"520\" height=\"324\" src=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphReading.png\" alt=\"A line graph shows the rate of rapid guessing on reading questions doubles when students take MAP Growth after noon.\" class=\"wp-image-19555\" srcset=\"https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphReading.png 520w, https:\/\/www.nwea.org\/blog\/uploads\/2023\/05\/dont-test-after-lunch-time-of-day-affects-test-taking-engagement_461x288_lineGraphReading-300x187.png 300w\" sizes=\"(max-width: 520px) 100vw, 520px\" \/><\/figure><\/div>\n\n\n<div style=\"height:1.5rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>There was no evidence of an hour-of-testing effect for performance decline. This was somewhat surprising, as performance decline suggests that a student did not show persistent high engagement throughout their test event. We expected that such persistence would be more difficult for students to maintain later in the day. Our research has shown, however, that performance decliners tend not to be those who rapid guess. Apparently, testing later in the day encourages more students to rush through MAP Growth without engaging with the questions, but without their performance changing during the test event.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Test in the morning<\/h2>\n\n\n\n<p>What does this research mean for MAP Growth schools? One conclusion is clear: the later in the day you administer MAP Growth, the more likely that substantial rapid guessing will occur.<\/p>\n\n\n\n<p>While we understand that sometimes circumstances require tests to be administered later in the day, be aware of the potential costs of less trustworthy RIT scores. Test earlier in the school day, when you can.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When we assess a student\u2019s achievement using MAP\u00ae Growth\u2122, we assume they remain fully engaged throughout the test. This assumption allows us to view their RIT score [&hellip;]<\/p>\n","protected":false},"author":48,"featured_media":19557,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_metadesc":"New research indicates that students stay more engaged when taking MAP Growth when the assessment is administered in the morning.","footnotes":""},"categories":[13],"tags":[637],"grade_level":[830,831,832,833],"product":[835],"theme":[],"coauthors":[{"id":48,"name":"Steven Wise, NWEA","link":"https:\/\/www.nwea.org\/blog\/author\/swise\/","avatar_urls":{"24":"https:\/\/www.nwea.org\/blog\/wp\/wp-includes\/images\/blank.gif","48":"https:\/\/www.nwea.org\/blog\/wp\/wp-includes\/images\/blank.gif","96":"https:\/\/www.nwea.org\/blog\/wp\/wp-includes\/images\/blank.gif"}}],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.14 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Don\u2019t test after lunch: Time of day affects test-taking engagement - Teach. 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