1/29
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
Test of Difference, Independent Measures and Nominal Data
Chi-Squared
Test of Difference, Independent Measures and Ordinal Data
Mann-Whitney
Test of Difference, Independent Measures and Interval/Ratio Data
Unrelated t-test
Test of Difference, Repeated Measures and Nominal Data
Sign Test
Test of Difference, Repeated Measures and Ordinal Data
Wilcoxon
Test of Difference, Repeated Measures and Interval/Ratio Data
Related t-test
Test of Correlation/Relationship and Nominal Data
Chi-square Test
Test of Correlation/Relationship and Ordinal Data
Spearman’s rho
Test of Correlation/Relationship and Interval/Ratio Data
Pearson’s r
Aims
Purpose of the investigation
Hypotheses
Testable, operationalised statement
Directional Hypothesis
A hypothesis which states the direction of the relationship between the variables
Non-directional Hypothesis
A hypothesis which doesn’t state a direction but states that there is a difference
Directional or non-directional
Identifying a difference/corelation or not. Choice depends on previous theory/research
Independent Variable
What is manipulated
Dependent Variable
What is measured
Operationalisation
Defining variables so they can be measured
Extraneous Variables
Nuisance variables but randomly distributed
Confounding variables
Vary systematically with the independent variable
Demand Characteristics
Participants second guess the aims, after their behaviour
Investigator Effects
Influence of researcher on the dependent variable/design decisions
Randomisation
Chance methods to reduce researcher’s bias
Standardiation
Ensuring all participants have the same experience
Independent Groups
Participants in each condition of experiment are different
Repeated Measures
All participants take part in all conditions
Matched Pairs
Similar participants paired on participant variables, allocated condition A or B
Evaluation for Independent Groups
Participant variables aren’t controlled (use random allocation), less economical, no order effects
Evaluation for Repeated Measures
Order effects (use counterbalancing), demand characteristics, participant variables are controlled, more economical
Evaluation for Matched Pairs
No order effects, cannot match participants exactly, time consuming
Laboratory Experiments
The independent variable is manipulated in a controlled setting, participants go to researcher