Final Exam Flashcards

(45 cards)

1
Q

What are the four levels of measurement?

A

Nominal, Ordinal, Interval, Ratio

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2
Q

What is a nominal variable? Give an example.

A

Categories without order. Hair color, gender

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3
Q

What is an ordinal variable? Give an example.

A

Ordered categories. Class rank, satisfaction scale

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4
Q

What is an interval variable? Give an example.

A

Ordered with equal intervals, no true zero. Temperature (°F)

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5
Q

What is a ratio variable? Give an example.

A

Ordered with equal intervals and true zero. Age, income, weight

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6
Q

What is the null hypothesis (H₀)?

A

A statement that there’s no significant difference or relationship between two or more groups or variables.

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7
Q

What does a p-value represent?

A

The probability the results happened by chance if H₀ is true.

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8
Q

When is a result considered statistically significant?

A

When p < .05

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9
Q

What is the purpose of an experiment?

A

To test cause-and-effect relationships.

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10
Q

What are strengths of surveys?

A

Cost-effective, reach large samples, quick data.

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11
Q

What are limitations of surveys?

A

Bias, limited depth, no causation.

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12
Q

Difference between parametric and nonparametric tests?

A

Parametric assumes normality; nonparametric does not.

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13
Q

What order do you write a quantitative reports in?

A

Abstract, introduction, literature review, method, results, discussion

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14
Q

In which step of a quantitative report do you analyze the data?

A

Results

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15
Q

Is survey research typically inductive or deductive?

A

Deductive

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16
Q

What is validity in research?

A

Accuracy.

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17
Q

What is reliability in research?

A

Consistency.

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18
Q

How do researchers ensure validity and reliability?

A

Pilot tests, clear protocols, using established tools.

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19
Q

What is a independent t-test?

A

Compares two diffrent groups.

20
Q

What is a paired t-test?

A

Compares the same group at two times.

21
Q

When do you use ANOVA

A

to compare means of 3 or more.

22
Q

What does regression analysis do?

A

It examines the relationship between independent and dependent variables.

23
Q

What are measures of central tendency?

A

Mean, median, mode.

24
Q

What are measures of dispersion?

A

Range, variance, standard deviation.

25
What is descriptive stats?
The summary of data?
26
What is Inferential stats?
Making predictions or generalization.
27
What are the types of correlation?
Positive, negative, curvilinear.
28
What does correlation coefficient (r) tell us?
Strength and direction of a relationship.
29
What is the purpose of regression?
To predict or explain the value of dependent variable.
30
What are the types of kurtosis?
Mesokurtic (normal), Platykurtic (flat), Leptokurtic (peaked)
31
What is skewness
Asymmetry in the data distribution.
32
How would skewness affect interpretation?
It can pull the mean in the direction of the skew.
33
What is the purpose of a control group?
To serve as a baseline for comparison.
34
Why is random assignment important?
It reduces bias and increases internal validity.
35
What test is used to compare two groups?
T-test.
36
What test is used to compare 3+ groups?
ANOVA.
37
What test is used to predict outcomes?
Regression.
38
What test is used for categorical variables?
Chi-square.
39
What is deductive research?
Starts with a theory and test it with data.
40
What is inductive research?
Starts with data and builds a theory.
41
What is a Type 1 error?
False positive.
42
What is a type 2 error?
False negative.
43
what does "r" mean?
Correlation
44
what does "F" mean?
ANOVA result.
45
What does "p" mean?
Significance level.