Q1: Variables Flashcards

1
Q

anything that has a quantity or quality that varies

A

Variable

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2
Q

identified as the presumed cause

A

independent variable

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3
Q

presumed effect

A

dependent variable

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4
Q

other factors that may influence the outcome (dependent variable) not manipulated or pre-defined by the researcher

A

Extraneous Variables

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5
Q

accurate conclusion

A

internal validity

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6
Q

When the researcher fails to control the extraneous variable that it caused considerable effect to the outcome, the extraneous variable becomes this kind of variable

A

Confounding Variable.

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7
Q

When the researcher fails to control the extraneous variable that it caused considerable effect to the outcome, the extraneous variable becomes this kind of variable

A

Confounding Variable

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8
Q

2 classification of variable

A
  • Quantitative Variable (numerical)
  • Qualitative Variable (categorical)
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9
Q

also called numerical variables, are the type of variables used in quantitative research because they are numeric and can be measured

A

Quantitative Variables

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10
Q

are countable whole numbers. It does not take negative
values or values between fixed points

A

Discrete variables

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11
Q

take fractional (non-whole number) values that can
either be a positive or a negative

A

Continuous variables

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12
Q

examples are number of students in a class, group size and frequency

A

Discrete variables

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13
Q

examples are height and temperature

A

Continuous variables

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14
Q

two levels of measurement,

A
  • Intervals
  • Ratio
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15
Q

quantitative variables where the interval or differences between
consecutive values are equal and meaningful, but the numbers are arbitrary

A

Intervals

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16
Q

type of data is similar to interval. The only difference is the presence of a
true zero value

A

Ratio

17
Q

also referred to as Categorical Variables are not expressed
in numbers but are descriptions or categories. It can be further divided into
dichotomous, nominal or ordinal

A

Qualitative Variables

18
Q

consists of only two distinct categories or values, for
example, a response to a question either be a yes or no

A

Dichotomous variable

19
Q

simply defines groups of subjects. In here, you may have
more than 2 categories of equivalent magnitude

A

Nominal variable

20
Q

For example, a basketball player’s number is used to distinguish him from other players. It certainly does not follow that player 10 is better than player 8.

A

Nominal variable

21
Q

from the name itself, denotes that a variable is ranked in
a certain order

A

Ordinal variable

22
Q

For example, a survey questionnaire may have a numerical rating
as choices like 1, 2, 3, 4, 5ranked accordingly (5=highest, 1=lowest) or
categorical rating like strongly agree, agree, neutral, disagree and strongly
disagree

A

Ordinal variable

23
Q

8 types of variables

A

(1) Independent, (2) Dependent, (3)
Extraneous, (4) Continuous, (5) Discrete, (6) Dichotomous, (7)
Nominal variable and (8) Ordinal variable.