1
What is research? (8/22)
1.1
Positivism and Research
1.2
Russell on Statistical Dispositions
2
Problem Identification and Descriptive Statistics (8/24)
2.1
Hypotheses and Research Questions
2.2
Descriptive Statistics
2.2.1
A Non-Music Education Example
2.2.2
A Music Education Example
3
Reading and Doing Descriptive Statistics (8/29)
3.1
The Integrated Development Environment
3.1.1
Set Your Working Directory
3.2
What do we measure, though?
3.2.1
Frequency Distributions
3.2.2
High School Band Practice Example
4
Validity, Reliability, Generalizability (8/31)
4.1
Descriptive Stats Write Up
4.2
Measurement Validity
4.2.1
Other Types of Measurement Validity
4.3
Reliability
4.4
Generalizability
4.4.1
Type I and Type II Errors
5
Measurement and Sampling (9/7)
5.1
Descriptive Research Discussion
5.1.1
More on Descriptive Research
5.2
Descriptive Research Data Collection Approaches
5.3
Survey Sampling Approaches
5.3.1
Probabilistic Approaches
5.3.2
Non-Probabilistic Approaches
5.4
Sampling and Questionnaire Related Definitions
5.5
Questionnaire Development
6
Correlational Statistics (9/12-9/14)
6.1
Correlational Concepts
6.1.1
Four Components of Correlational Analysis
6.1.2
Considering Correlation Approaches and Data Types
6.2
Correlation Participation Case Study
6.2.1
Assessing Correlation with BaseR, psych, Rstatix, and Report
6.3
Correlation vs. Causation
6.4
Cronbach’s Alpha—Reliability Estimates
6.5
Correlational Analysis Practice
6.5.1
Research Scenarios
6.5.2
Data Analysis
6.6
Statistical Significance Review
7
Variance Explained and Modeling (9/18)
7.1
R-Squared
7.1.1
Model Drawing Demo
7.1.2
Practice Activity
8
Structural Equation Modeling (9/26)
8.1
Differences Between Correlation and Regression
8.2
SEM Syntax
8.3
Running, Interpreting, and Visualizing Models
8.3.1
CFA
8.3.2
Full SEM
8.3.3
Mediation
8.3.4
Multiple Groups
8.3.5
Measurement Invariance
8.4
Facial Burns Case Study
9
Reliability and Validity at the Study Level (9/28)
9.1
Threats to Internal Validity
9.2
Threats to External Validity
9.3
Quasi- and True-Experimental Designs
10
Inferential Statistics (10/3-10/5)
10.1
The Role of Statistics in Hypothesis Testing
10.2
Tests of Group Differences
10.2.1
Glossary of Inferential Statistics
10.2.2
Inferential Modeling
10.3
Research Design Review
10.4
IRB Overview
11
Writing Workshop (10/10)
12
Multivariate Analysis (10/25-10/27)
12.1
Factorial ANOVA
12.1.1
Instructions for conducting factorial ANOVA analysis in SPSS
12.2
MANOVA
12.3
ANCOVA
13
Data Cleaning and Preprocessing (11/7)
13.1
Case Study 1: Titanic Data
13.1.1
Typos in the Sex Column
13.1.2
Missing Data and Typos in the Age Column
13.1.3
Label Class and Survived Columns with Text
13.1.4
Create a Composite Family Members Column
13.1.5
Normality Transformation
13.1.6
Adding a Last Name Column
13.1.7
Save the Dataset
13.2
Case Study 2: Expert Teaching Data
MUED 540
9
Reliability and Validity at the Study Level (9/28)
9.1
Threats to Internal Validity
9.2
Threats to External Validity
9.3
Quasi- and True-Experimental Designs
