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
Q

Example of a Nominal Scale

A

Sex at birth (male, female)…..

26
Q

Mutually Exclusive

A

There must be one and only category for each case

27
Q

Exhaustive

A

A category must exist for every possible score that might be found

28
Q

Homogenous

A

Categories should include cases that are comparable

29
Q

What is an ordinal scale?

A

Categorical scale with a natural order
Scores only indicate a position between items

30
Q

Example of an ordinal scale

A

Income level
Personality trait

31
Q

What is an interval scale?

A

Describes an actual quantity
Can have negative numbers

32
Q

Example of an interval scale:

A

Temperature (celsius or Fahrenheit)

33
Q

What is a ratio scale?

A

Scores represent the true “amount” of the variable that is present
Scores scaled to a true zero