SLeven-minute statistics are tips for students in a hurry!<\/b><\/p>\n
The videos below show how to conduct various data management routines and statistical tests in just S<\/b>even to eLeven<\/b> minutes.<\/p>\nThis video shows you how to ensure data entry accuracy by comparing double-entered files in Excel.<\/p>\n<\/iframe>\n<\/div>\n<div style=\"float: right; width: 49%;\">This video shows you a quick way to conduct and interpret exploratory data analysis in SPSS 15.<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/SMJJbvRm0Uw\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<div style=\"float: left; width: 49%;\">This demo shows you how to use the “recode” commands in SPSS.<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/d0_9RskaKgM\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<h2>Logistic Regression<\/h2>\n<p><b>This section is a four-part series on running logistic regressions in SPSS.<\/b><\/p>\n<div style=\"float: left; width: 49%;\">Part 1: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ICN6CMDxHwg\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 2: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/CzRofdInq0I\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 3: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/m-5ra3KO_v8\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 4: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Dd4KNZ48Iyw\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<h2>Count-Based GzLM Demo<\/h2>\n<p><b>This section includes a Powerpoint presentation and accompanying demonstration videos on how to conduct generalized linear modeling fo count data using Poisson and negative binomial distributional assumptions.<\/b><\/p>\n<p>Presentation: <a href=\"https:\/\/catalyst.uw.edu\/workspace\/file\/download\/58b9968fad2661da18b8b19ee8eae137f1956769db38eecae7503e9428621b23\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/catalyst.uw.edu\/workspace\/file\/download\/58b9968fad2661da18b8b19ee8eae137f1956769db38eecae7503e9428621b23<\/a><\/p>\n<div style=\"float: left; width: 49%;\">Part 1: Dataset description and initial Poisson SPSS syntax<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/MC7tf_YLJY4\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 2: Completed Poisson syntax steps<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/10fETys2RwE\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 3: Interpretation of Poisson regression SPSS output<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/RukFUHAfOcU\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 4: How to interpret incident rate ratios for categorical variables<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/EQBSylhD8CQ\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 5: Negative binomial model in SPSS 15<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/mt2IPJ4QoH8\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div> <\/div>\n<div style=\"float: right; width: 49%;\">Part 6: Exploratory data analysis supports findings<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/RZqS51s2zck\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>SLeven-Minute Statistics Videos SLeven-minute statistics are tips for students in a hurry! The videos below show how to conduct various data management routines and statistical tests in just Seven to eLeven minutes. This video shows you how to ensure data entry accuracy by comparing double-entered files in Excel. This video shows you a quick way […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":37,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-23","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/comments?post=23"}],"version-history":[{"count":14,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":1048,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23\/revisions\/1048"}],"up":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/37"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/media?parent=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/iframe>\n<\/div>\n<div style=\"float: right; width: 49%;\">This video shows you a quick way to conduct and interpret exploratory data analysis in SPSS 15.<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/SMJJbvRm0Uw\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<div style=\"float: left; width: 49%;\">This demo shows you how to use the “recode” commands in SPSS.<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/d0_9RskaKgM\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<h2>Logistic Regression<\/h2>\n<p><b>This section is a four-part series on running logistic regressions in SPSS.<\/b><\/p>\n<div style=\"float: left; width: 49%;\">Part 1: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ICN6CMDxHwg\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 2: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/CzRofdInq0I\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 3: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/m-5ra3KO_v8\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 4: Logistic regression with spss.avi<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Dd4KNZ48Iyw\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"clear: both;\"> <\/div>\n<h2>Count-Based GzLM Demo<\/h2>\n<p><b>This section includes a Powerpoint presentation and accompanying demonstration videos on how to conduct generalized linear modeling fo count data using Poisson and negative binomial distributional assumptions.<\/b><\/p>\n<p>Presentation: <a href=\"https:\/\/catalyst.uw.edu\/workspace\/file\/download\/58b9968fad2661da18b8b19ee8eae137f1956769db38eecae7503e9428621b23\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/catalyst.uw.edu\/workspace\/file\/download\/58b9968fad2661da18b8b19ee8eae137f1956769db38eecae7503e9428621b23<\/a><\/p>\n<div style=\"float: left; width: 49%;\">Part 1: Dataset description and initial Poisson SPSS syntax<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/MC7tf_YLJY4\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 2: Completed Poisson syntax steps<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/10fETys2RwE\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 3: Interpretation of Poisson regression SPSS output<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/RukFUHAfOcU\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: right; width: 49%;\">Part 4: How to interpret incident rate ratios for categorical variables<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/EQBSylhD8CQ\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div style=\"float: left; width: 49%;\">Part 5: Negative binomial model in SPSS 15<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/mt2IPJ4QoH8\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n<div> <\/div>\n<div style=\"float: right; width: 49%;\">Part 6: Exploratory data analysis supports findings<\/p>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/RZqS51s2zck\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\"><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>SLeven-Minute Statistics Videos SLeven-minute statistics are tips for students in a hurry! The videos below show how to conduct various data management routines and statistical tests in just Seven to eLeven minutes. This video shows you how to ensure data entry accuracy by comparing double-entered files in Excel. This video shows you a quick way […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":37,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-23","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/comments?post=23"}],"version-history":[{"count":14,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":1048,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/23\/revisions\/1048"}],"up":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/pages\/37"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/harrtlab\/wp-json\/wp\/v2\/media?parent=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}