Qualitative + Quantitative Data + Experimental Design

Question 1

Quantitative data

Answer 1

Numeric or statistical data that can be compared + easily analysed

Adv:
-easier to analyse
-quick to collect
-produce graphs

Disadv
-ignore thoughts + feelings
-less in-depth

Question 2

Qualitative data

Answer 2

Thoughts and feelings that give deeper insight to topics

Adv-
-more depth
-access to thoughts + feelings

Disadv
-harder to analyse
-longer to collect
-may not create graphs

Question 3

Repeated measures

Answer 3

Same participants used for both IV
-watch TV then run, then not watch TV and run

Adv:
-quick to gather
-no participants variables

Disadv:
-order effect (do better on task next time)
-demand characteristics (guess true aim of study to change behaviour good or bad)

Question 4

Independent group

Answer 4

Different participant used for different levels of IV

Adv:
-no order effects
-less demand characteristics- don’t know true aim of study

Disadv:
-participant variables
-need more participants

Question 5

Matched pair

Answer 5

2 groups of participants with similar characteristics assigned to different IV

Adv:
-less participant variables
-no order effects
-less demand characteristics

Disadv:
-can’t completely avoid participant effects
-time consuming to gather

Question 6

Counter balancing

Answer 6

Way to deal with order effects of repeated measures

AB vs BA
-have 1 group do IV A then B
-other do B then A
-compare result to see are they similar

ABBA
-do IV A then B then B then A
-compare different trials to see are they similar