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cjvanlissa committed Oct 12, 2021
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4 changes: 2 additions & 2 deletions docs/index.html
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Expand Up @@ -485,8 +485,8 @@ <h2 class="subtitle"><em>A guide to structural equation modeling in R</em></h2>
<h1>Course</h1>
<p>In this course you will learn how to translate a social scientific theory into a statistical model, how to analyze your data with these models, and how to interpret and report your results following APA standards.</p>
<p><strong>Course overview</strong></p>
<div id="htmlwidget-5a721539076753aee3a7" style="width:100%;height:auto;" class="datatables html-widget"></div>
<script type="application/json" data-for="htmlwidget-5a721539076753aee3a7">{"x":{"filter":"none","data":[[37,37,37,38,38,38,39,39,39,40,41,41,41,42,42,42,43,43,43,43,44,44,44,45],["Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Tuesday","Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Monday","Tuesday","Tuesday","Thursday","Monday","Tuesday","Thursday","Tuesday"],["13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","14:15 - 15:00","10:00 - 12:45","18:00","13:15 - 15:00","14:15 - 15:00","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","18:00","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","18:00"],["online","online","online","online","online","online","online","online","online","blackboard","online","online","online","online","online","online","online","online","blackboard","online","online","online","online","blackboard"],["qna","lectures","tutorials","qna","lectures","tutorials","qna","lectures","tutorials","Exams","qna","lectures","tutorials","qna","lectures","tutorials","qna","lectures","Exams","tutorials","qna","lectures","tutorials","Exams"],["2021-09-13","2021-09-14","2021-09-16","2021-09-20","2021-09-21","2021-09-23","2021-09-27","2021-09-28","2021-09-30","2021-10-05","2021-10-11","2021-10-12","2021-10-14","2021-10-18","2021-10-19","2021-10-21","2021-10-25","2021-10-26","2021-10-26","2021-10-28","2021-11-01","2021-11-02","2021-11-04","2021-11-09"],["Introduction","Introduction","Introduction","Factor Analysis (exploratory, EFA)","Factor Analysis (exploratory, EFA)","Factor Analysis (exploratory, EFA)","Factor Analysis (confirmatory, CFA)","Factor Analysis (confirmatory, CFA)","Factor Analysis (confirmatory, CFA)","Factor analysis, group","Mediation","Mediation","Mediation","Moderation","Moderation","Moderation",null,null,"Path analysis, group",null,null,null,null,"SEM, individual"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th>weeks<\/th>\n <th>days<\/th>\n <th>time<\/th>\n <th>location<\/th>\n <th>Activity<\/th>\n <th>Date<\/th>\n <th>Topic<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"pageLength":24,"columnDefs":[{"className":"dt-right","targets":0}],"order":[],"autoWidth":false,"orderClasses":false,"lengthMenu":[10,24,25,50,100],"rowCallback":"function(row, data, displayNum, displayIndex, dataIndex) {\nvar value=data[2]; $(this.api().cell(row, 2).node()).css({'background-color':value == \"14:15 - 15:00\" ? \"yellow\" : null});\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script>
<div id="htmlwidget-eb8951bbae33ac29a119" style="width:100%;height:auto;" class="datatables html-widget"></div>
<script type="application/json" data-for="htmlwidget-eb8951bbae33ac29a119">{"x":{"filter":"none","data":[[37,37,37,38,38,38,39,39,39,40,41,41,41,42,42,42,43,43,43,43,44,44,44,45],["Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Tuesday","Monday","Tuesday","Thursday","Monday","Tuesday","Thursday","Monday","Tuesday","Tuesday","Thursday","Monday","Tuesday","Thursday","Tuesday"],["13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","14:15 - 15:00","10:00 - 12:45","18:00","13:15 - 15:00","14:15 - 15:00","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","18:00","10:00 - 12:45","13:15 - 15:00","13:15 - 14:15","10:00 - 12:45","18:00"],["online","online","online","online","online","online","online","online","online","blackboard","online","online","online","online","online","online","online","online","blackboard","online","online","online","online","blackboard"],["qna","lectures","tutorials","qna","lectures","tutorials","qna","lectures","tutorials","Exams","qna","lectures","tutorials","qna","lectures","tutorials","qna","lectures","Exams","tutorials","qna","lectures","tutorials","Exams"],["2021-09-13","2021-09-14","2021-09-16","2021-09-20","2021-09-21","2021-09-23","2021-09-27","2021-09-28","2021-09-30","2021-10-05","2021-10-11","2021-10-12","2021-10-14","2021-10-18","2021-10-19","2021-10-21","2021-10-25","2021-10-26","2021-10-26","2021-10-28","2021-11-01","2021-11-02","2021-11-04","2021-11-09"],["Introduction","Introduction","Introduction","Factor Analysis (exploratory, EFA)","Factor Analysis (exploratory, EFA)","Factor Analysis (exploratory, EFA)","Factor Analysis (confirmatory, CFA)","Factor Analysis (confirmatory, CFA)","Factor Analysis (confirmatory, CFA)","Factor analysis, group","GLM: Means and SEM","GLM: Means and SEM","GLM: Means and SEM","Mediation","Mediation","Mediation","Moderation","Moderation","Path analysis, group","Moderation",null,null,null,"SEM, individual"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th>weeks<\/th>\n <th>days<\/th>\n <th>time<\/th>\n <th>location<\/th>\n <th>Activity<\/th>\n <th>Date<\/th>\n <th>Topic<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"pageLength":24,"columnDefs":[{"className":"dt-right","targets":0}],"order":[],"autoWidth":false,"orderClasses":false,"lengthMenu":[10,24,25,50,100],"rowCallback":"function(row, data, displayNum, displayIndex, dataIndex) {\nvar value=data[2]; $(this.api().cell(row, 2).node()).css({'background-color':value == \"14:15 - 15:00\" ? \"yellow\" : null});\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script>
<p><strong>You do not need a book for this course.</strong></p>
<p>Most information is contained within this GitBook and the course readings. Optionally, if you want to expand your learning, you can follow the excellent <a href="https://lavaan.ugent.be/tutorial/"><code>lavaan</code> tutorial</a>.</p>
<p>The analyses will be executed using the statistical programming environment R, and in particular using the structural equation modeling package <code>lavaan</code>.</p>
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2 changes: 1 addition & 1 deletion docs/search_index.json
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1 change: 1 addition & 0 deletions docs/week-5-overview.html
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Expand Up @@ -480,6 +480,7 @@ <h1><span class="header-section-number">Chapter 23</span> Week 5 - Overview</h1>
<p><strong>Lecture</strong></p>
<iframe src="https://www.youtube.com/embed/xg84x9BVHAI" width="672" height="400px">
</iframe>
<p><strong>Note that this is a more recent version of the slides than used in the video. The material in the video is sufficient to pass the course.</strong></p>
<p><a href="pdfs/tcsm_week_5.pdf">Download slides</a></p>
<p>Introducing means into statistical models/How can I investigate mediation?</p>
<p><strong>Homework for the lecture Mediation:</strong></p>
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7 changes: 6 additions & 1 deletion index.Rmd
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Expand Up @@ -60,7 +60,12 @@ schedule$Date <- as.Date(paste(2021, schedule$weeks, 1, sep="-"), "%Y-%U-%u") +
schedule$Date <- format(schedule$Date, "%d-%m-%Y")
topics <- c("Introduction","Factor Analysis (exploratory, EFA)", "Factor Analysis (confirmatory, CFA)",
"GLM: Means and SEM", "Mediation", "Moderation")
schedule$Topic <- topics[match(schedule$weeks, sort(unique(schedule$weeks)))]
names(topics) <- sort(unique(schedule$weeks))[c(1:3,5:7)]
schedule$Topic <- topics[as.character(schedule$weeks)]
#topics[match(schedule$weeks, sort(unique(schedule$weeks)))]
# NA
# schedule$Topic[which(schedule$weeks %in% as.integer(names(topics)))] <-
schedule$Topic[schedule$Activity == "Exams"] <- c("Factor analysis, group", "Path analysis, group", "SEM, individual")
```
In this course you will learn how to translate a social scientific theory into a statistical model, how to analyze your data with these models, and how to interpret and report your results following APA standards.
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2 changes: 2 additions & 0 deletions week5_program.Rmd
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Expand Up @@ -6,6 +6,8 @@
knitr::include_url("https://www.youtube.com/embed/xg84x9BVHAI")
```

**Note that this is a more recent version of the slides than used in the video. The material in the video is sufficient to pass the course.**

[Download slides](pdfs/tcsm_week_5.pdf)

Introducing means into statistical models/How can I investigate mediation?
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