Quiz one Flashcards

1
Q

Levels of measurement acronym

A

NOIR
NOMINAL, ordinal, interval and ratio

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2
Q

What type of measurement has the lowest level of measurement and has no natural order?

A

Nominal

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3
Q

Examples of nominal data

A

Gender, group membership, marital status, color, religion, and type of car

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4
Q

Possible measures of nominal data

A

Mode, model, percentage, range, and frequency distribution

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5
Q

What type of measurement uses ordered categories, relative rankings and zero is arbitrary?

A

Ordinal

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6
Q

Examples of ordinal data

A

Likert scales, socioeconomic, status levels, sizes, class rankings, levels of satisfaction survey

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7
Q

True or false order matters in ordinal measures

A

True, but not the difference between values

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8
Q

Possible measures for ordinal

A

All nominal level tests, median, percentile, semi quartile range, rink order, coefficient of correlation

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9
Q

Define interval data

A

Difference between variables is consistent, but there is no true zero (think of a thermometer)

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10
Q

What are the three forms of research?

A

Quantitative qualitative and mixed methods

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11
Q

What is the difference between experimental and non-experimental approaches?

A

Experimental- control group, random assignment of groups, allows you to infer (inferential)

Non experimental- observational and cannot determine cause(independent v) and effect(dependent V) relationships

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12
Q

What is the Golden standard

A

Experimental approach is better than non-experimental

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13
Q

Define descriptive statistics

A

Methods used to summarize and organized data

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14
Q

Components of descriptive statistics

A

Central tendency, data visuals (graphs), and spreads

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15
Q

Define inferential statistics

A

Findings from data are generalized and then assumed for a larger population

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16
Q

What is sample vs population? give an example

A

A sample is a smaller group within a larger POPULATION

All of Bucknell’s students is a population, people in clubs at Bucknell is a sample

17
Q

What are the three forms of central tendency

A

Mean median and mode

18
Q

When do you use mean?

A

Use when data is numerical and not heavily skewed with extreme outliers

19
Q

When do you use median

A

When data is skewed and has outliers because it is less affected by outliers

20
Q

When do you use mode?

A

When data is categorical and you are interested in most common value

21
Q

What is the preferred measure of central tendency?

A

Mean is preferred if data isnt heavily skewed

22
Q

Equations for all three measures of central tendency

A

Mean = (all values added up)/(number of values) sigma X/n

Median = (n+1)/2

Mode = value that appears most

23
Q

What does it mean to have data that is positively skewed?

A

Most of the values are small or low

24
Q

Negatively skewed data

A

Most of the values are high or large

25
Q

Define ratio data

A

Numerical data with consistent differences and an absolute zero (like age height)