Independent t test Flashcards

1
Q

What different methods of analysis are there?

A
  • 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)
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2
Q

What’s an independent variable?

A

The manipulation used by the researcher

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3
Q

What’s a dependent variable?

A

The outcome measured by the researcher

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4
Q

What’s an independent t test and what can it also be called?

A

Different independent participants in each group.

Also sometimes called:
• Between subjects
• Two-sample
• Unpaired

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5
Q

What is a repeated t test and what else is it called?

A

Same participants repeat the experiment in each condition.

Also sometimes called:
• Within subjects
• Dependent
• Paired sample

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6
Q

What could experimental variance be due to?

A
  • Due to experimental manipulation

* Variability between conditions

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7
Q

What types of variance are there?

A

Experimental and random

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8
Q

What could random variance be due to?

A
  • 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
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9
Q

What is the t test equation measuring?

A

It’s the overall difference in the sample divided by the variability in the sample.

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10
Q

What does a large t value mean?

A
  • 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).
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11
Q

What’s a null hypothesis?

A

There will be no difference

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12
Q

What is a two tailed hypothesis?

A

That there will be a difference but the direction is not specified

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13
Q

What is a one tailed hypothesis?

A

There will be a difference between a group and the direction is specified

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14
Q

How do you report a t test?

A

t (df) = calculated value, p < .05

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15
Q

How do you present your result?

A

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)

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