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This PowerPoint fully supports our popular Research Methods Section of our Popular Student Workbooks and covers the following::
Week 4 Data handling and analysis
Learning Objectives
On completion of this section you should be familiar with the following:
Lesson 1. Types of data
· Quantitative and qualitative data; the distinction between qualitative and quantitative data collection techniques.
· Primary and secondary data, including meta-analysis.
Lesson 2. Descriptive statistics
· Measures of central tendency – mean, median, mode; calculation of mean, median and mode
· Measures of dispersion; range and standard deviation; calculation of range; calculation of percentages.
Lesson 3. Graphs
· Presentation and display of quantitative data: graphs, tables, scattergrams, bar charts.
· Distributions: normal and skewed distributions; characteristics of normal and skewed distributions.
Lesson 4. Data handling and analysis
· Analysis and interpretation of correlation, including correlation coefficients.
Lesson 5. Inferential Testing
· Probability and significance; Type I and Type II errors.
· Factors affecting the choice of statistical test
· The use of statistical tables and critical values in interpretation of significance
FOR FURTHER SUPPORT CHECK OUT - This Lesson on our Twitter Moments https://twitter.com/i/moments/956450738196148224
This PowerPoint fully supports our popular Research Methods Section of our Popular Student Workbooks and covers the following::
Week 4 Data handling and analysis
Learning Objectives
On completion of this section you should be familiar with the following:
Lesson 1. Types of data
· Quantitative and qualitative data; the distinction between qualitative and quantitative data collection techniques.
· Primary and secondary data, including meta-analysis.
Lesson 2. Descriptive statistics
· Measures of central tendency – mean, median, mode; calculation of mean, median and mode
· Measures of dispersion; range and standard deviation; calculation of range; calculation of percentages.
Lesson 3. Graphs
· Presentation and display of quantitative data: graphs, tables, scattergrams, bar charts.
· Distributions: normal and skewed distributions; characteristics of normal and skewed distributions.
Lesson 4. Data handling and analysis
· Analysis and interpretation of correlation, including correlation coefficients.
Lesson 5. Inferential Testing
· Probability and significance; Type I and Type II errors.
· Factors affecting the choice of statistical test
· The use of statistical tables and critical values in interpretation of significance
FOR FURTHER SUPPORT CHECK OUT - This Lesson on our Twitter Moments https://twitter.com/i/moments/956450738196148224
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