Introduction to statistics and working with quantitative data for Voice Professionals: 8-Session Online Bootcamp
This statistics course is ideal for individuals interested in laying a solid foundation in quantitative research methods. By focusing on essential statistical principles, you will be equipped with the tools to understand and apply quantitative research techniques effectively. Statistics is a crucial component of quantitative research; mastering it will enable you to grasp quantitative methods more confidently and precisely.
Live and Interactive Learning
Engage Live: Join us for live sessions that blend taught content, discussion work, and evaluation.
Dynamic Sessions: Participate in interactive lectures, group work, and discussions to deepen your understanding.
Course cost: £350
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Whether you have a background in qualitative research and want to expand your expertise into quantitative or mixed methods research, this course will provide you with a comprehensive understanding of the statistical concepts underpinning quantitative research.
Moreover, this course is essential for anyone aiming to enhance their research methods skills.
By the end of the course, you will have a solid foundation in statistics, enabling you to develop analytical tools for your research projects. Whether you're a student, academic, or professional, this course will significantly bolster your research capabilities and open new avenues for inquiry and analysis.
Let's embark on this exciting journey together, where you'll not only gain valuable research skills but also deepen your understanding of the art and science of teaching voice.
Session Times and Dates
Course Schedule
| Date | Time (BST) |
| Mon 7th July | 2:00pm > 4:00pm |
| Tues 8th July | 2:00pm > 4:00pm |
| Wed 9th July | 2:00pm > 4:00pm |
| Fri 11th July | 2:00pm > 4:00pm |
| Mon 14th July | 2:00pm > 4:00pm |
| Tue 15th July | 2:00pm > 4:00pm |
| Wed 16th July | 2:00pm > 4:00pm |
| Fri 18th July | 2:00pm > 4:00pm |
Place: Online
Regional Times for all sessions
- BST (British Summer Time): 2:00 - 4:00 pm
- EDT (Eastern Daylight Time): 9:00 - 11:00 am
- CDT (Central Daylight Time): 8:00 - 10:00 am
- PDT (Pacific Daylight Time): 6:00 - 8:00 am
- CEST (Central European Summer Time): 3:00 - 5:00 pm
- IST (Indian Standard Time): 6:30 - 8:30 pm
- JST (Japan Standard Time): 10:00pm -midnight
- AEST (Australian Eastern Standard Time): 11:00pm - 1:00 am
Course Breakdown
Session 1: Introduction to statistics and working with quantitative data
| Aim: | Topics: |
|---|---|
To learn about the role of statistics in research; to understand key concepts for working with quantitative data; to get started with SPSS.
|
Introduction
|
Session 2: Research Methodologies
| Aim: | Topics: |
|---|---|
To gain an understanding of core descriptive statistics; to use SPSS to summarise and visualize data effectively and appropriately.
|
Measures of central tendency
Measures of dispersion
Frequency distributions
Graphical representation of data using SPSS
|
Session 3: Probability
| Aim: | Topics: |
|---|---|
To explore the concept of probability as the basis of inferential statistics; to explore probability distributions and understand the importance of the normal distribution.
|
What is probability? Probability distributions
Central Limit Theorem |
Session 4: Z-scores and the path to hypothesis testing
| Aim: | Topics: |
|---|---|
To gain an understanding of the foundations of hypothesis testing; to explore how probability underpins the concept of statistical significance.
|
Designing statistical hypotheses
From z-scores to p-values
Hypothesis testing: probability, thresholds and interpreting results |
Session 5: Detecting differences - choosing the right statistical test!
| Aim: | Topics: |
|---|---|
To learn how to choose the right statistical test for different types of research questions and designs; to practice running statistical tests using SPSS.
|
The difference between parametric and non-parametric tests (why it is important!) Test assumptions
T-tests
Wilcoxon signed-rank test and Mann-Whitney U Test
Friedman test Kruskal-Wallis test Post-hoc testing and Bonferroni correction
|
Session 6: Associations - correlation
| Aim: | Topics: |
|---|---|
To learn to use statistics to assess relationships between variables.
|
The concept of statistical association Correlation ≠ causation Interpreting direction and strength of relationships Visualising associations: scatter plots The concept of covariance and how it relates to correlation
Assumptions of correlation and choosing the right test Running and interpreting correlations in SPSS |
Session 7: Introduction to regression - models and predictions
| Aim: | Topics: |
|---|---|
To understand the principles of simple and multiple regression and how they is used to model relationships and make predictions.
|
Difference between correlation and regression Simple linear regression
Introduction to multiple regression
|
Session 8: Final pieces and further concepts
| Aim: | Topics: |
|---|---|
To reflect on learning throughout the course; to consolidate key concepts; to explore new avenues for critical thinking in statistics
|
Revisiting assumptions
Effect sizes
Statistical power and sample size
Socio-political context of statistics
Brief introduction to Baysian approaches |
