Independent t test Flashcards
What different methods of analysis are there?
- Frequency (looking at categorical data and determining whether group membership is non-random)
- Differences (experimental designs) – if there are two conditions it can be a parametric analysis if it meets the requirements
- Relationships (correlational)
What’s an independent variable?
The manipulation used by the researcher
What’s a dependent variable?
The outcome measured by the researcher
What’s an independent t test and what can it also be called?
Different independent participants in each group.
Also sometimes called:
• Between subjects
• Two-sample
• Unpaired
What is a repeated t test and what else is it called?
Same participants repeat the experiment in each condition.
Also sometimes called:
• Within subjects
• Dependent
• Paired sample
What could experimental variance be due to?
- Due to experimental manipulation
* Variability between conditions
What types of variance are there?
Experimental and random
What could random variance be due to?
- Due to measurement error
- Due to individual differences (e.g., BMI)
- Due to unmeasured variables (e.g., participants eating more or less on the day or the temperature)
- Variability within conditions
What is the t test equation measuring?
It’s the overall difference in the sample divided by the variability in the sample.
What does a large t value mean?
- The larger t value, the greater the ratio of experimental variance to random variance.
- A large t value means the variability is best explained by your experimental manipulation (the independent variable).
What’s a null hypothesis?
There will be no difference
What is a two tailed hypothesis?
That there will be a difference but the direction is not specified
What is a one tailed hypothesis?
There will be a difference between a group and the direction is specified
How do you report a t test?
t (df) = calculated value, p < .05
How do you present your result?
Use the means to interpret the direction of any significant findings.
Report both mean and SD.
Present descriptives in the text, or in a table or a graph (not all!)
(See page 7 of notes for more help + an example)