HLTH2270 Lecture Notes - Lecture 1: Microsoft Excel, List Of Statistical Packages, Descriptive Statistics
HLTH2270-Lecture 1
Data Analysis and Experimental Design
Introduction to the nature of scientific investigation.
Students will gain:
• an understanding of experimental design, data analysis and interpretation of results
in RESEARCH;
• skills to perform basic statistical analysis using the statistical package SPSS.
During this unit you will:
• be introduced to the basic concepts of research and provided a working knowledge
of statistics.
It is not the purpose of this unit
to train you to be a STATISTICIAN!
Course Learning Outcomes
At the completion of this unit a student should be able to:
1. Describe basic concepts of experimental design and the role of data analysis
in scientific research.
2. Input data in preparation for data analysis, including recoding and computing
variables, using a recognised statistical software package - SPSS.
3. Perform basic statistical analyses using a recognised statistical software
package - SPSS.
4. Choose appropriate statistical technique(s) to analyse data.
5. Apply knowledge of experimental design and data analysis to critically
evaluate research and report results.
Assessments
• Practical Exam 1 (10%)
• Tutorial Time Week 7
• Practical Exam 2 (20%)
• Tutorial Time Week 13
• Research Project (20%)
• Submit Online Friday Week 12 @ 5pm
• Final Exam (50%)
find more resources at oneclass.com
find more resources at oneclass.com
WEEK
TOPICS/CONTENT/LEARNING EXPERIENCES
Lectures
Tutorials/Workshops etc.
1
Unit introduction
Developing the research question
The basics with Microsoft Excel
2
Considerations for data collection
Data Management in Excel
3
Using descriptive statistics
Introduction to SPSS
4
Graphing
Applied Research Presentation #1
Descriptive Statistics
5
Statistical models to test research
questions
Good Friday- No tutorial
Non-Teaching Study Break
6
Exploring assumptions
Applied Research Presentation #2
Graphing and Normality Testing
7
Confidence intervals, significance tests
Practical Exam #1
8
Measuring relationships
Applied Research Presentation #3
Correlation
9
Comparing two means
t-tests
10
Comparing several means
Applied Research Presentation #4
Teaching and/or Course Evaluations
ANOVA
Teaching and/or Course Evaluation
11
Regression
Teaching and/or Course Evaluations
Regression
Teaching and/or Course Evaluation
12
Categorical Data & Nonparametric tests
Applied Research Presentation #5
Chi Square
13
Unit Overview
Practical Exam #2
Study Week
Exam Week 1
Exam Week 2
find more resources at oneclass.com
find more resources at oneclass.com
Lecture 1
Developing the Research Question
Research = knowledge and evidence based practice
the discoery ad adaceet of hua koledge Joes, I. 5
• Research > just academic journal articles
• Coaches
• Teachers
• Health Workers
• Sport Marketers
• Policy Makers
• All use some form of research to improve their
work/educational/performance/community outcomes!
Investigative Process
The Question…
• How do we formulate a research question?
1. Hae a iteest i soethig….. Idetif a topi.
• See a problem, fix a problem
• Brainstorming at work
• Notice a student or athlete falling behind
• The boss told me to..
• Review literature
The Question… Practical Activity
Iagie….
You are a budding young scientist looking to make your mark on the world. You also happen
to have an amazing supervisor, who has provided you with unlimited funding/resources to
research any topic YOU wish in the world!
“o lets get eseahig… What is your general research question????
find more resources at oneclass.com
find more resources at oneclass.com
Document Summary
Students will gain: an understanding of experimental design, data analysis and interpretation of results in research; skills to perform basic statistical analysis using the statistical package spss. During this unit you will: be introduced to the basic concepts of research and provided a working knowledge of statistics. It is not the purpose of this unit to train you to be a statistician! Assessments: practical exam 1 (10%, tutorial time week 7, practical exam 2 (20%, tutorial time week 13, research project (20%, submit online friday week 12 @ 5pm, final exam (50%) You are a budding young scientist looking to make your mark on the world. You also happen to have an amazing supervisor, who has provided you with unlimited funding/resources to research any topic you wish in the world! The effect of over consuming caffeine will decline the performance of elite athletes within fine motor sports.
