Flashcards in 5018 Unit 8 Deck (76)

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1

##
Top-down approach, large to small

Theory-hypothesis-test hypothesis-specific answer

### Deductive Research Paradigm

2

##
Bottom-up, small to large

data-analysis-generalize

### Inductive Research Paradigm

3

## Required in deductive approach to interpret data

### Statistics; quantitative data

4

## Required in inductive research paradigm

### Qualitative approach

5

## Four types of data

###
Nominal

Ordinal

Interval

Ratio

6

## Type of data that refers to categories

### Nominal

7

## Type of data that refers to order

### Ordinal

8

## Type of data where difference between each value is even

### Interval

9

## Type of data where difference between each value is even and has a true zero

### Ratio

10

## Three measures of central tendency

###
Mean

Median

Mode

11

## Sum of scores divided by number of scores; most preferred measure of central tendency

### Mean

12

## Score that divides distribution exactly in half; gives two groups of equal sizes

### Median

13

## Score that has the greatest frequency

### Mode

14

## Two types of Mode

###
Bimodal

Multimodal

15

## Two modes or peaks

### Bimodal

16

## More than two modes

### Multimodal

17

## Used for nominal scales, discrete variables, or describing shape

### Mode

18

## Used for extreme scores, skewed distribution, undetermined values, and open-ended distributions

### Median

19

## Three measures of variability

###
Range

Interquartile range

Standard Deviation

20

## Describes the distribution in terms of distance from the mean or between two scores; how spread out or clustered together scores are in a distribution

### Variability

21

## Distance between targets score and smallest score + 1

### Range

22

## Criticisms of Range

###
Crude and unreliable measure of variability

Does not consider all scores in the distribution

23

## Most important measure of variability that measure typical distance from mean and uses all scores in the distribution

### Standard deviation

24

## A tool in inferential statistics that measure the likelihood of an event

### Probability

25

## Two types of probability

###
Subjective

Objective

26

## How to express probability

###
Always positive

Can be in the form of fractions, decimals or percentages

27

## Each individual in the population has an equal chance of being selected; there must be constant probability for each and every selection

### Random sampling

28

## The most common occurring shape for population distribution

### Normal shaped distributions

29

## Provide incomplete pictures of the population

### Samples

30