Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Research 2 > Chapter 2: Classification of Variables > Flashcards

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

a variable is also called?

A

data item

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

NUMERIC VARIABLES:

A
  1. Continuous Variables
  2. DIscrete Variables
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

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

A

Continuous Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

continuous variables s also called

A

“interval variables”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Examples: time, age, temperature, height, weight

A

Continuous Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

the values depend on the scale used.

A

Continuous Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

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

A

Discrete Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

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

A

CATEGORICAL VARIABLES

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

CATEGORICAL VARIABLES

A
  1. Ordinal Variables
  2. Nominal Variables
  3. Dichotomous Variables
  4. Polychotomous Variables
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

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

A

Ordinal Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
Q

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”

A

Extraneous Variables

26
Q

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

A
  1. Independent
  2. Dependent
  3. Extraneous
27
Q

NON- EXPERIMENTAL VARIABLES :

A
  1. Predictor Variables
  2. Criterion Variables
28
Q

these variables changes the other variable/s in a non-experimental study

A

Predictor Variables

29
Q

these variables are usually influenced by the predictor variables

A

Criterion Variables

30
Q

Examples:
Title of Research: Competencies of Teachers and Students’ Behavior in Selected Private Schools
1. ______ Variable: Competencies of teachers
2. ______ Variable: Students’ behavior

A
  1. Predictor
  2. Criterion
31
Q

VARIABLES ACCORDING TO THE NUMBER BEING STUDIED

A
  1. Univariate study
  2. Bivariate study
  3. Polyvariate study
32
Q

only one variable is being studied.

A

Univariate study

33
Q

two variables are being studied

A

Bivariate study

34
Q

More than two variables are being studied

A

Polyvariate study

Research 2 (2 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions