Lecture Week 1

Question 1

Type I Error

Answer 1

• False Positive
• Man is pregnant
• Test reports true when in reality is not true

Question 2

False Positive

Answer 2

• Type 1 Error
• Man is pregnant
• Test reports true when in reality is not true

Question 3

Type II Error

Answer 3

• False Negative
• Pregnant Woman tests not pregnant
• Test reports false when in reality is true

Question 4

False Negative

Answer 4

• Type II Error
• Pregnant Woman tests not pregnant
• Test reports false when in reality is true

Question 5

Research Doing

Answer 5

• Practical, hands on, skills based aspect of research
• Analyse, interpret and conclude based on data

Question 6

Research Thinking

Answer 6

• Changing the way we think to be able to think critically about the research being consumed.

Question 7

Research Consuming

Answer 7

• Being able to absorb research from others
• Includes peer reviewed and mass media consumption
• Understand, critique and apply this material

Question 8

Screen & Clean

Answer 8

• Data is our raw ingredients in our study
• Need to prepare the data before analysis
• If data is no good and innacurate then our end result will also be no good.
• Make sure the data meets the assumptions
• Make sure there are no errors in the data

Question 9

Why do we engage in Data Analysis

Answer 9

1. Check for errors
2. Obtain a thorough descriptive analysis of your data
3. Examine patterns that are not otherwise obvious
4. Analyse and deal with Missing Data
5. Checking for outliers
6. Checking Assumptions

Question 10

Screen & Clean - Check for errors

Answer 10

• Human error occurs, we can never assume data is 100% error free.
• Errors are easy to make
• The more complicated the data, the more likely errors will occur
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Question 11

Screen & Clean - Obtain a Descriptive Analysis of Data

Answer 11

• Really dig in to the statistices.
• Get a real feel for what is occuring

Question 12

Screen & Clean - Examine Patterns that are Not Obvious

Answer 12

• Raw data does not tell a story
• As an analyst it is up to me to extract the information from the raw material

Question 13

Screen & Clean - Analyse and Deal with Missing Data

Answer 13

• Missing data is very common in human research
• It happens for all sorts of reasons

Question 14

Screen & Clean - Checking Assumptions

Answer 14

• Statistical Tests make certain assumptions
• We need to check these assumptions against the data before we do the statistical test

Question 15

Screen & Clean - Checking for Outliers

Answer 15

• Outliers are extreme scores
• They can have a disproportionate effect on our scores

Question 16

EXPLORE Command in SPSS

Question 17

What is EDA?

Answer 17

• Exploratory Data Analysis
• Developed by statistician John Tukey
• He was a very practical statistician
• worked in cryptography and code breaking in WW2
• Suggested that if data analysis were to difficult then people would not use it.
• He said we should keep it simple