itns-exercises
Preface
Interactive Exercises
R Tutorial
Educational Considerations
Learning Mode
Multiple Representations
Self-Determined Learner
Types of Exercises
Structure Of Chapter Exercises
Conventions Used In This Book
Providing Feedback And Reportung Errors
Licence
I Interactive Exercises
1
Asking and Answering Research Questions
1.1
Interactive Video
1.1.1
Research questions
1.1.2
Meta-analysis
1.1.3
Open Science
1.2
Glossary
1.2.1
Accordion
1.2.2
Dialog Cards
1.2.3
Drag words
1.2.4
Memory Game
1.2.5
Fill in the Blanks
1.2.6
Flash Cards
1.3
Poll Intuitions
1.4
Research Process
1.4.1
Drag & Drop
1.4.2
Form Wizard
1.4.3
Interactive Video
1.4.4
Order of Steps
1.4.4.1
Research Process (Summary)
1.4.4.2
Estimation Plan (Image Sequencing)
1.4.4.3
Estimation Plan (Summary)
1.4.4.4
Research & Estimation (LearnR)
1.5
Meta-Analysis
1.5.1
Explore Forest Plot (Image Hotspots)
1.5.2
Point Estimates in Forest Plot (Find Multiple Hotspots)
1.6
Reporting (Accordion)
1.7
Quizzes and Assessment
1.7.1
Quiz 1 (Question Set)
1.7.2
Quiz 2 (Question Set)
1.7.3
Take-Home Messages (Summary)
1.7.4
Assessment (Question Set)
2
Research Fundamentals: Don’t Fool Yourself
2.1
Interactive Video
2.2
Glossary
2.2.1
Accordion
2.2.2
Dialog Cards
2.2.3
Drag words Part I
2.2.4
Drag words Part II
2.2.5
Flash Cards
2.2.6
Fill in the Blanks
2.3
Fundamental Research Concepts
2.3.1
Sample and Population (Drag & Drop)
2.3.2
DFY: Don’t fool yourself (Drag Words)
2.3.3
Measurement (Drag & Drop)
2.3.4
Measurement (Multiple Choice)
2.3.5
Important Concepts I (Advanced Dropdown)
2.3.6
Important Concepts II (Advanced Blank)
2.4
Reporting (Advanced Blank)
2.5
Quizzes and Assessment
2.5.1
Quiz 1 (Question Set)
2.5.2
Quiz 2 (Question Set)
2.5.3
Quiz 3 (Question Set)
2.5.4
Take-Home Messages (Summary)
2.5.5
Assessment (Question Set)
3
Picturing & Describing Data
3.1
Interactive Video
3.1.1
Descriptives: Guess Measures
3.1.2
More Descriptives: Estimate Measures
3.2
Glossary
3.2.1
Accordion
3.2.2
Dialog Cards
3.2.3
Drag Words Part I
3.2.4
Drag Words Part II
3.2.5
Fill In (Dropdown)
3.2.6
Flash Cards
3.2.7
Fill In (Blanks)
3.3
Describing Data
3.3.1
Aspects of Data Distributions (Fill In Dropdown)
3.3.2
Distribution Shapes (Drag & Drop) {chap03-distribution-shapes}
3.3.3
Histogram & Bins (Shiny) {chap03-histogram-shiny}
3.4
TODO: Reporting (Advanced Blank)
3.5
TODO: Quizzes and Assessment
3.5.1
TODO: Quiz 1 (Question Set)
3.5.2
TODO: Quiz 2 (Question Set)
3.5.3
TODO: Quiz 3 (Question Set)
3.5.4
TODO: Take-Home Messages (Summary)
3.5.5
TODO: Assessment (Question Set)
4
Normal Distribution
4.1
Interactive Video
4.2
Glossary
4.2.1
Accordion
4.2.2
Dialog Cards
4.2.3
Drag words Part I
4.2.4
Drag words Part II
4.2.5
Flash Cards
4.2.6
Fill in the Blanks
4.3
Reporting (Advanced Blank)
4.4
Quizzes and Assessment
4.4.1
Quiz 1 (Question Set)
4.4.2
Quiz 2 (Question Set)
4.4.3
Quiz 3 (Question Set)
4.4.4
Take-Home Messages (Summary)
4.4.5
Assessment (Question Set)
II R Tutorials
5
Tutorials for 3: Picture & Describing Data
5.1
General Setup
5.1.1
Store variables
5.1.2
Global options
5.1.3
Installing and loading R packages
5.1.4
Theme adaption for the graphic display with
ggplot2
{R03-#theme}
5.2
Calculating decriptive statistics
5.2.1
Description
5.2.2
Solution
5.3
Loading our first data set
5.3.1
Inspecting the
itns
-package
5.3.2
Reading the codebook for
college-survey1
5.4
Distribution of positive affect scores
5.4.1
Visualize the distribution
5.4.2
Histogram
5.4.2.1
Addressing the notification
5.4.2.2
Addressing the warning
5.4.3
Dot plot
5.4.4
Interpretation
5.5
Distribution of student age
5.6
Distribution of exercise scores
5.7
Distribution of Raven scores and GPA
5.8
Presentation of the gender distribution
5.9
Put some indidual scores in context
5.9.1
Female student on the Ravens measure
5.10
The same student in GPA
5.11
Compare positive & negative affect of a participant
5.11.1
Positive Affect
5.11.2
Negative Affect
5.11.3
Comparison: Positive with Negative Affect
5.12
Determine outliers
5.13
Religious Beliefs
5.13.1
Estimate the distribution
5.13.2
Chart of the religious data
5.13.3
Evaluate the different location parameters
5.14
Working with the oiginal Excel file
5.14.1
Load data set from Excel file
5.14.2
Problems with the Exercise variable
5.14.3
Problems with the Ravens_Score
5.14.4
Gender data
5.15
Cleanup
6
Tutorials for 4: Normal Dsitribution
6.1
Find z scores
6.2
Find percentage of better students
6.3
Calculation of SE
6.3.1
Estimation 1
6.3.2
Estimation 2
6.3.3
Calculation
6.3.4
Is the sample size sufficient?
6.4
Nursing home and random sampling
6.5
Skewed distributions
6.6
Warning sign for skewed variables
Appendix
A
QR Codes
A.1
Chapter 1
A.2
Chapter 2
B
H5P Content types
B.1
Interactive Video
References
Thanks for providing resources:
icons8
Exercises for ‘Introduction to The New Statistics’
B
H5P Content types
B.1
Interactive Video
FIGURE B.1: Control Strip for h5p-Modul “Interactive Video”
