week 8 Flashcards

(31 cards)

1
Q

What is a population in statistics?

A

All possible subjects or data points of interest, such as all users, devices, or behaviors in an HCI study.

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2
Q

What is a sample in statistics?

A

A subset of the population selected for measurement and analysis, ideally representative and randomly chosen.

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3
Q

What are independent variables in a study?

A

Variables that the researcher manipulates intentionally to examine their effect on dependent variables.

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4
Q

What are dependent variables in a study?

A

Variables that are measured to observe the impact of changes in independent variables.

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5
Q

What is the purpose of hypothesis testing?

A

To determine whether observed effects in a study are likely due to random chance or a real underlying effect.

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6
Q

What is a null hypothesis (H₀)?

A

A statement that there is no effect or difference; any observed outcome is due to chance.

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7
Q

What does p < 0.05 mean?

A

There is less than a 5% probability that the observed data would occur if the null hypothesis were true—typically considered statistically significant.

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8
Q

What is a Type I error?

A

Rejecting the null hypothesis when it is actually true (false positive).

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9
Q

How do you reduce Type I errors?

A

By lowering the alpha level (e.g., from 0.05 to 0.01) or using Bonferroni correction for multiple comparisons.

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10
Q

What is a Type II error?

A

Failing to reject the null hypothesis when it is actually false (false negative).

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11
Q

How can you reduce Type II errors?

A

By increasing the sample size or the statistical power of the test.

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12
Q

What is a t-test used for?

A

To compare the means of two groups to see if the difference is statistically significant.

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13
Q

What is the difference between one-tailed and two-tailed t-tests?

A

One-tailed tests look for a difference in one direction; two-tailed tests check for any difference, regardless of direction.

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14
Q

When do you use an independent t-test?

A

When comparing two separate groups (between-subject design).

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15
Q

When do you use a paired t-test?

A

When comparing the same group under two conditions (within-subject design).

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16
Q

What is an ANOVA used for?

A

To compare means across more than two groups or to evaluate multiple independent variables simultaneously.

17
Q

What is a main effect in ANOVA?

A

An overall effect of one independent variable on the dependent variable, ignoring other variables.

18
Q

What is an interaction effect in ANOVA?

A

Occurs when the effect of one independent variable depends on the level of another variable.

19
Q

What does η² (eta squared) represent?

A

It is a measure of effect size in ANOVA: 0.01 = small, 0.06 = medium, 0.14 = large effect.

20
Q

What is counterbalancing in experimental design?

A

A technique used to minimize order effects by varying the sequence of conditions across participants.

21
Q

What does GLMM stand for?

A

Generalized Linear Mixed Model

22
Q

What types of variables does a GLMM include?

A

Fixed factors and random factors

23
Q

What are fixed factors in a GLMM?

A

Independent variables with set levels

24
Q

What are random factors in a GLMM?

A

Variables where levels are random samples from a larger population

25
Why is Participant ID a random factor?
Because participants are randomly sampled and the model accounts for their individual differences
26
What is an example of a dependent variable in a GLMM study?
Motion sickness severity scale
27
What does a significant fixed effect mean in GLMM results?
A consistent difference between groups defined by fixed factors (e.g.
28
What does a significant interaction effect mean in GLMM results?
The effect of one fixed factor depends on the level of another (e.g.
29
What does a significant random effect for time indicate?
There are within-group individual differences in how motion sickness severity changes over time
30
How do you calculate degrees of freedom in GLMM?
df1 = k - 1
31
Where in SPSS can you run a GLMM?
Analyze → Mixed Models → Generalized Linear