Unit 1 Flashcards

1
Q

Empirical Statistics

A

Information is obtained via observation and measurement (produces data, scores)

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2
Q

Inferential Statistics

A

Performing mathematical calculations (statistics) from a sample of people

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3
Q

Population

A

The total number of cases or items of interest within a defined region (i.e All Canadians over the age of 65)

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4
Q

Deductive Reasoning

A

using general premises to form a specific conclusion

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5
Q

Deductive Reasoning Example

A

Dementia comes with aging. Therefore, my grandfather must have dementia

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6
Q

Inductive Reasoning

A

starting from specific premises and forming a general conclusion

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7
Q

Example of Inductive reasoning

A

My grandfather has dementia so,
all older adults must have dementia

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8
Q

What is the scientific method?

A

the process of objectively establishing facts through testing and experimentation

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9
Q

Elements of the Scientific Method:

A

Skepticism
Open-mindeness

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10
Q

Quantitative Research

A

Measurement of outcomes using numerical data under standardized conditions
Like Applying statistical procedures

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11
Q

Example of Quantitative Research

A

Applying statistical procedures

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12
Q

Qualitative Research

A

Deriving conclusions from open-ended questionnaires, surveys, interviews, and observations
Not applying numerical descriptions to observations

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13
Q

Example of Qualitative Research

A

E.g., educational methods

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14
Q

What is a Variable?

A

a characteristic or condition that changes or has different values for different individuals (i.e gender or age)

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15
Q

What is Data?

A

scores on variables, or information expressed as numbers (quantitively)

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16
Q

What is a data set?

A

a collection of measurements or observation

17
Q

What is a datum? (also called score or raw score)

A

a single measurement of observation or observation

18
Q

Descriptive Statistics (Describe)

A

Statistical procedures used to summarize, organize, and simplify data

19
Q

Inferential Statistics (to infer)

A

Techniques that allow us to study samples and then make generalizations about the populations from which they were selected

20
Q

Sampling Error

A

Naturally occurring error that exists between a sample statistic and the corresponding population parameter

21
Q

What are discrete variables?

A

Measured in units that cannot be subdivided…… contains gaps.

Variable classified in whole units…. no fractions

22
Q

What are dichotomous variables?

A

only 2 possible outcomes
Scores = whole integers
Example: number of people per household

23
Q

What are continuous variables?

A

Measured in a unit that can be subdivided infinitely
Limited by the precision of the testing instrument… ie age

24
Q

What are nominal scales?

A

Identification scores
Does not measure amount or value
Classifies groups or responses

25
Example of a Nominal Scale
Sex at birth (male, female).....
26
Mutually Exclusive
There must be one and only category for each case
27
Exhaustive
A category must exist for every possible score that might be found
28
Homogenous
Categories should include cases that are comparable
29
What is an ordinal scale?
Categorical scale with a natural order Scores only indicate a position between items
30
Example of an ordinal scale
Income level Personality trait
31
What is an interval scale?
Describes an actual quantity Can have negative numbers
32
Example of an interval scale:
Temperature (celsius or Fahrenheit)
33
What is a ratio scale?
Scores represent the true “amount” of the variable that is present Scores scaled to a true zero