Module 1 Flashcards

(27 cards)

1
Q

entire group of individuals that researcher wants to study

A

Population

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2
Q

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

A

Sample

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3
Q

numerical measurements taken from a population

A

Parameters

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4
Q

statistics used to describe or depict data

A

Descriptive Statistics

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5
Q

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

A

Inferential Statistics

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6
Q

a list of the entire population you are interested in

A

Sampling Frame

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7
Q

when a sample has the same characteristics of the population

A

Representative

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8
Q

difference between a sample and a parameter

A

Sampling Error

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9
Q

variable that is manipulated to determine its effect on another

A

Independent Variable (Grouping Variable)

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10
Q

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

A

Dependent Variable (Outcome Variable)

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11
Q

NOIR

A

Nominal, Ordinal, Interval, Ratio Variables

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12
Q

These are considered discrete variables…

A

Nominal Ordinal

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13
Q

These are considered continuous variables…

A

Interval Ratio

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14
Q

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

A

Nominal

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15
Q

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

A

Ordinal

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16
Q

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

17
Q

Which level of measurement lacks an absolute zero point?

18
Q

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

19
Q

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

A

Descriptive Statistics

20
Q

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

A

Inferential Statistics

21
Q

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

A

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

22
Q

extent to which assessments are consistent

23
Q

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

24
Q

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).

A

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