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Flashcards in Module 1 Deck (27)
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1

entire group of individuals that researcher wants to study

Population

2

subset of of individuals from a populations from which an investigator draws conclusions

Sample

3

numerical measurements taken from a population

Parameters

4

statistics used to describe or depict data

Descriptive Statistics

5

statistics that allow a researcher to generalize the results form a sample to a population through hypothesis testing

Inferential Statistics

6

a list of the entire population you are interested in

Sampling Frame

7

when a sample has the same characteristics of the population

Representative

8

difference between a sample and a parameter

Sampling Error

9

variable that is manipulated to determine its effect on another

Independent Variable (Grouping Variable)

10

variable that is measured in response to manipulation of the independent variable

Dependent Variable (Outcome Variable)

11

NOIR

Nominal, Ordinal, Interval, Ratio Variables

12

These are considered discrete variables...

Nominal Ordinal

13

These are considered continuous variables...

Interval Ratio

14

level of measurement in which data is classified into mutually exclusive categories

Nominal

15

level of measurement in which data is classified into mutually exclusive categories however, ranking or ordering is imposed on categories

Ordinal

16

level of measurement in which data is classified into categories with ranking and are mutually exclusive as in ordinal level of measurement but additionally, specific meanings are applied to the distances between categories- distances are assumed to be equal and can be measured

Interval

17

Which level of measurement lacks an absolute zero point?

Interval

18

level of measurement that is interval measurement with the addition of a meaningful zero

Ratio

19

statistics that summarize the data from a sample, instrument, or scale such as tendency or variation

Descriptive Statistics

20

statistics that allow a researcher to generalize about a population based on the results from the sample

Inferential Statistics

21

variables that may influence the relationship between the variables in the study or could compete with the independent variable in explaining the outcome

Confounding Variable (aka Intervening, Extraneous, Controlled, Hidden)

22

extent to which assessments are consistent

Reliability

23

refers to how well a test measures what it intends to measure

Validity

24

a variable that takes on one of only two possible values when observed or measured. The value is most often a representation for a measured variable (e.g., age: under 65/65 and over) or an attribute (e.g., gender: male/female).

Dichotomous Variable

25

a variable that can be counted and has a finite and fixed number of possible values (i.e. every value is assigned to a particular group or category...variables measured at the nominal and ordinal level

Categorical Variable

26

variables that have every possible value on a continuum

Continuous Variable

27

variables that have values that are countable but do not include numeric values between countable categories

Discrete Variable