Variables Flashcards

1
Q

Measurable elements that can change or vary. They can refer to characteristics such as age, gender, intelligence, and others that are central to research studies.

A

Variables

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2
Q

The two (2) Types of Variables are:

A
  • Quantitative
  • Qualitative
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3
Q

There are 3 Kinds of Quantitative Variables. These include:

A
  • Discrete
  • Continuous
  • Ratio
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4
Q

Can be counted, only whole numbers (e.g., group sizes, frequency of behavior)

A

Discrete Variables

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5
Q

Measured in ranges, can include fractions or decimals (e.g., temperature)

A

Continuous Variables

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6
Q

Special type of continuous variable that cannot have negative values (e.g., age, height, test scores)

A

Ratio Variables

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7
Q

There are three (3) Kinds of Qualitative Variables. These include:

A
  • Dichotomous
  • Nominal
  • Ordinal
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8
Q

Two distinct categories (e.g., yes/no answers)

A

Dichotomous Variables

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9
Q

More than two categories (e.g., blood type, marital status)

A

Nominal Variables

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10
Q

Have ranked or ordered values (e.g., frequency of actions, grades A+, A, B)

A

Ordinal Variables

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11
Q

There are three (3) Types of Variable Relationships. These include:

A
  • Independent Variables
  • Dependent Variables
  • Extraneous Variables (+ Confounding Variables)
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12
Q

Cause changes in the dependent variable, manipulated by the researcher (e.g., in an experiment).

A

Independent Variables

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13
Q

Are affected by the independent variable; the presumed effect.

A

Dependent Variables

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14
Q

Any variable that is not independent or dependent but could affect the results of a study.

A

Extraneous Variables

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15
Q

When an extraneous variable influences the dependent variable and not the independent variable.

A

Confounding Variables

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16
Q

Other Variable Types include:

A
  • Attribute Variables
  • Covariate Variables
  • Latent Variables
  • Manifest Variables
17
Q

Characteristics of participants (e.g., intelligence, creativity).

A

Attribute Variables

18
Q

Interact with independent and dependent variables.

A

Covariate Variables

19
Q

Not directly observable (e.g., personality traits).

A

Latent Variables

20
Q

Observable and measurable variables that indicate the presence of latent variables.

A

Manifest Variables

21
Q

Example: The number of cars in a parking lot; the number of students in a class

A

Discrete Variables

22
Q

Example: The height of students in a classroom; temperature in a room

A

Continuous Variables

23
Q

Example: A person’s age measured in years; weight of a product

A

Ratio Variables

24
Q

Example: Whether a student passed or failed an exam (pass/fail); sex (male/female)

A

Dichotomous

25
Q

Example: Level of satisfaction with a product; educational attainment

A

Ordinal Variables

26
Q

Example: In an experiment studying the effect of sleep on test performance, the amount of
sleep is the [][].

A

Independent Variables

27
Q

Example: In a weight loss program study, the [][] would be the amount of weight lost by participants after following a specific diet or exercise plan.

A

Dependent Variable

28
Q

Example: In a study on the effect of exercise on weight loss, diet could be a(n) [][] if not controlled because participants who exercise and eat healthily might lose more weight.

A

extraneous variable

29
Q

Example: In a study on the impact of diet on heart disease, age could be a [][] as older participants are more likely to have heart disease regardless of their diet.

A

confounding variable

30
Q

Example: Intelligence or creativity level, which might be measured using IQ tests or creativity assessments.

A

Attribute Variable

31
Q

Example: In a study on physical activity and heart health, body mass index (BMI) might be a [][] since it can influence both activity levels and heart health.

A

covariate variable

32
Q

Example: Personality traits like extroversion or introversion

A

Latent Variable

33
Q

Example: Scores on a questionnaire assessing extroversion

A

Manifest Variables

(provided measurable indications of the latent personality trait)