Chapter 2: Classification of Variables Flashcards

1
Q

is any factor or property that a researcher measures, controls, and/or manipulates in a research study.

A

Variable

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2
Q

a variable is also called?

A

data item

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3
Q

CLASSIFICATION OF VARIABLES

A
  1. NUMERIC VARIABLES
  2. CATEGORICAL VARIABLES
  3. EXPERIMENTAL VARIABLES
  4. NON- EXPERIMENTAL VARIABLES
  5. VARIABLES ACCORDING TO THE NUMBER BEING STUDIED
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4
Q

variables with values that describe a measurable numerical quantity and answer the questions “how many” or “how much”

“Quantitative data”

A

numeric variables

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5
Q

NUMERIC VARIABLES:

A
  1. Continuous Variables
  2. DIscrete Variables
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6
Q

can assume any value between a certain set of real numbers.

A

Continuous Variables

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7
Q

continuous variables s also called

A

“interval variables”

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8
Q

Examples: time, age, temperature, height, weight

A

Continuous Variables

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9
Q

the values depend on the scale used.

A

Continuous Variables

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10
Q

can assume any whole value within the limits of the given variables

A

Discrete Variables

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11
Q

Examples: number of registered cars, number of business locations, number of children in the family, population of students, total number of faculty members

A

Discrete Variables

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12
Q

variables with values that describe a quality or characteristic of a data unit like “what type” or “which category”

A

CATEGORICAL VARIABLES

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13
Q

CATEGORICAL VARIABLES

A
  1. Ordinal Variables
  2. Nominal Variables
  3. Dichotomous Variables
  4. Polychotomous Variables
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14
Q

these variables can take a value which can be logically ordered or ranked

A

Ordinal Variables

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15
Q

Examples: academic grades such as A,B,C; clothing size such as X, L, M, S; and measures of attitudes like strongly agree, agree, disagree, or strongly disagree.

A

Ordinal Variables

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16
Q

variables whose values cannot be organized in a logical sequence

A

Nominal Variables

17
Q

Examples: business types, eye colors, kinds of religion, various languages, types of learners

A

Nominal Variables

18
Q

these variables represent only two categories

A

Dichotomous Variables

19
Q

Examples: gender (male and female), answer (yes or no), veracity (true or false)

A

Dichotomous Variables

20
Q

variables that have many categories

A

Polychotomous Variables

21
Q

Examples: educational attainment (elementary, high school, college, graduate, and postgraduate), level of performance (excellent, very good, good, satisfactory, or poor)

A

Polychotomous Variables

22
Q

EXPERIMENTAL VARIABLES :

A
  1. Independent Variables
  2. Dependent Variables
    3, Extraneous Variables
23
Q

these variables are usually manipulated in an experiment

“Manipulated or Explanatory Variable”

A

Independent Variables

24
Q

these variables are usually affected by the manipulation of the independent variables

“Response or Predicted Variable”

A

Dependent Variables

25
these variables are already existing during the conduct of an experiment and could influence the result of the study “mediating or intervening variables, covariate variables”
Extraneous Variables
26
Title of Research: An Experiment on the Methods of Teaching and Language Achievement Among Elementary Pupils 1. ________ Variable: Method of teaching 2. ________ Variable: Language achievement 3. ________ Variables: Ventilation facilities; Physical ambiance
1. Independent 2. Dependent 3. Extraneous
27
NON- EXPERIMENTAL VARIABLES :
1. Predictor Variables 2. Criterion Variables
28
these variables changes the other variable/s in a non-experimental study
Predictor Variables
29
these variables are usually influenced by the predictor variables
Criterion Variables
30
Examples: Title of Research: Competencies of Teachers and Students’ Behavior in Selected Private Schools 1. ______ Variable: Competencies of teachers 2. ______ Variable: Students’ behavior
1. Predictor 2. Criterion
31
VARIABLES ACCORDING TO THE NUMBER BEING STUDIED
1. Univariate study 2. Bivariate study 3. Polyvariate study
32
only one variable is being studied.
Univariate study
33
two variables are being studied
Bivariate study
34
More than two variables are being studied
Polyvariate study