data handling and analysis

Question 1

What are the 3 types of distributions of data?

Answer 1

Normal, positively skewed, negatively skewed.

Question 2

Normal distribution

Answer 2

mean, median, mode all fall at the same point.
1 standard deviation = 68%
2 standard deviation = 95%

Question 3

Positively skewed distribution

Answer 3

mode, median, mean
Decreases in value
Most people scored low i.e. it was too hard/rate of depression

Question 4

Negatively skewed distribution

Answer 4

Mean, median, mode
Increase in value
Most score high

Question 5

Strengths of quantitative data

Answer 5

Simple to analyse

More objective, less open to bias.

Question 6

Weaknesses of quantitative data

Answer 6

May fail to represent real life/ lacks ecological validity

Question 7

Strengths of qualitative data

Answer 7

Greater external validity

Question 8

Weaknesses of qualitative data

Answer 8

Difficult to analyse

Subject to bias

Question 9

Strengths of primary data

Answer 9

Can be designed so they can target the info they want

Question 10

Weaknesses of primary data

Answer 10

Time and effort for researcher

Question 11

Strengths of secondary data

Answer 11

Minimal effort, inexpensive

Question 12

Weaknesses of secondary data

Answer 12

Variation in the quality and accuracy of data

Question 13

What is meta analysis

Answer 13

Secondary data from large amounts of studies, which involves similar research are combined

Question 14

Strengths of meta analysis

Answer 14

Results can be generalised across much larger populations

Question 15

Weaknesses of meta analysis

Answer 15

Prone to publication bias