Statistics and Research Methods: an Introduction
Short course
In London
Description
-
Type
Short course
-
Level
Intermediate
-
Location
London
-
Class hours
25h
-
Duration
5 Days
-
Start date
Different dates available
This five-day short course will give you a comprehensive introduction to the fundamental aspects of research methods and statistics. It's suitable for those new to quantitative research.
You'll look at topics ranging from study design, data type and graphs through to choice and interpretation of statistical tests - with a particular focus on standard errors, confidence intervals and p-values.
Facilities
Location
Start date
Start date
About this course
By the end of this course you should have a good, practical understanding of:
research design considerations (question formulation, sample selection and randomisation, study design, and research protocols)
data types, and appropriate summaries and graphs of samples and differences
standard errors, confidence intervals and p-values
parametric and nonparametric assumptions and tests
how to select an appropriate statistical test
You can request a certificate of attendance for all of our courses once you've completed it.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Statistics
- Design
- Confidence Training
- Quantitative research
- Types of data
- Graphical displays
- Categorical data
- Hypothesis Testing
- Bootstrapping
- Hypothesis
- Hypothesis Testing Analysis
Course programme
During this basic introductory course in research methodology and statistical analyses you'll cover a variety of topics.
This is a theory-led course, but you'll be given plenty of opportunities to apply the concepts via practical and interactive activities integrated throughout.
The topics covered include:
- Introduction to quantitative research
- Research question development
- Study design, sampling and confounding
- Types of data
- Graphical displays of data and results
- Summarising numeric and categorical data
- Numeric and categorical differences between groups
- Hypothesis testing
- Confidence intervals and p-values
- Parametric statistical tests
- Non-parametric tests
- Bootstrapping
- Regression analysis
Statistics and Research Methods: an Introduction