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Hiba Armouche
Variables
www.facebook.com/TrainerHibaArmouche
hiba.armouche@yahoo.com
• Identifying relationships among
variables enhances understanding.
• Understanding relationships helps us to
explain the nature of our world.
The Importance of Studying
Relationships-
Outline
• Variable and Constant
• Independent and Dependent Variables
• Quantitative and Categorical Variables
• Moderator Variables
• Mediator Variables
• Extraneous Variables
Variables
A Variable is any characteristic or quality that varies
among the members of a particular group
Example: gender, eye color, motivation..
The individual members or class of objects however
should differ-or vary- to qualify the class as a variable.
A constant is a characteristic or quality that is the
same for all members of a particular group.
Variables
Variables
Example: A researcher is interested in studying
the effects of reinforcement on student
achievement.
• Quantitative variables: varies in amount and
degree but not in kind
Example: height, length, interest
• Categorical variables: varies only in kind, not in
degree or amount (qualitatively different).
Example :eye color, gender, occupation.
Types of variables:
Variables
Variables
Researchers in education often study the
relationship among/either:
1. Two or more quantitative variables
Ex: -Reading achievement and
mathematics achievement
- Amount of time watching
television and aggressiveness of
behavior
Variables
2. One categorical and one quantitative
variable
Ex: -Method used to teach reading and
reading achievement
-Counseling approach and level of
anxiety
Variables
3. Two or more categorical variables
Ex: -Gender of teacher and subject
matter taught
- Ethnicity and father occupation
N.B: Some variables can be treated both as
quantitative or categorical
EX: quantitative :degree of anxiety level
Categorical : group of high anxiety/Group of low
anxiety
Variables
Independent/Dependent variables:
• An independent variable is presumed to
influence other variables. Sometimes
independent variables are called
manipulated variables or experimental
variables.
Variables
• An independent variable may be either manipulated
or selected:
– A manipulated variable is produced by the
researcher
Ex: amount of reinforcement
– A selected variable is one that already exists and
that the researcher locates and then chooses to
study
Ex: Gender, mathematical ability, test anxiety
Independent/Dependent variables:
• A dependent variable is presumed to be affected by
one or more independent variable. The dependent
variable is often called an outcome variable
Example: Gender of teacher and subject matter
taught
Variables
• A moderator variable is a secondary
independent variable that the researcher
selects because he or she thinks it may
affect the relationship between the primary
independent variable and the dependent
variable.
Variables
• Research Question 1: “Does anxiety affect
test performance and, if so, does it depend on
test-taking experience?”
– Independent variable: anxiety level
– Moderator variable: test-taking experience
– Dependent variable: test performance
Variables
Variables
A mediator variable is a variable that attempts to
Explain the relationship between the 2 variables.
Example : “Does anxiety affect test performance
and, if so, does it depend on test-taking
experience?”
The mediator could be the SES
• An extraneous variable is an independent
variable that may have unintended effect on
the dependent variable.
Variables
Example:
The principal of a high school compares the final
examination scores of two history classes taught by
teachers who use different methods, not realizing that
they are also different in many other ways because of
extraneous variables.
The classes differ in:
Size of class - Gender of students- Gender of teacher-
Age of teacher - Time of day class meets
Days of week class meets- Length of class - Ethnicity of
teacher
Variables
Thank You
www.facebook.com/TrainerHibaArmouche
hiba.armouche@yahoo.com

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Variables

  • 2. • Identifying relationships among variables enhances understanding. • Understanding relationships helps us to explain the nature of our world. The Importance of Studying Relationships-
  • 3. Outline • Variable and Constant • Independent and Dependent Variables • Quantitative and Categorical Variables • Moderator Variables • Mediator Variables • Extraneous Variables
  • 5. A Variable is any characteristic or quality that varies among the members of a particular group Example: gender, eye color, motivation.. The individual members or class of objects however should differ-or vary- to qualify the class as a variable. A constant is a characteristic or quality that is the same for all members of a particular group. Variables
  • 6. Variables Example: A researcher is interested in studying the effects of reinforcement on student achievement.
  • 7. • Quantitative variables: varies in amount and degree but not in kind Example: height, length, interest • Categorical variables: varies only in kind, not in degree or amount (qualitatively different). Example :eye color, gender, occupation. Types of variables: Variables
  • 8. Variables Researchers in education often study the relationship among/either: 1. Two or more quantitative variables Ex: -Reading achievement and mathematics achievement - Amount of time watching television and aggressiveness of behavior
  • 9. Variables 2. One categorical and one quantitative variable Ex: -Method used to teach reading and reading achievement -Counseling approach and level of anxiety
  • 10. Variables 3. Two or more categorical variables Ex: -Gender of teacher and subject matter taught - Ethnicity and father occupation N.B: Some variables can be treated both as quantitative or categorical EX: quantitative :degree of anxiety level Categorical : group of high anxiety/Group of low anxiety
  • 11. Variables Independent/Dependent variables: • An independent variable is presumed to influence other variables. Sometimes independent variables are called manipulated variables or experimental variables.
  • 12. Variables • An independent variable may be either manipulated or selected: – A manipulated variable is produced by the researcher Ex: amount of reinforcement – A selected variable is one that already exists and that the researcher locates and then chooses to study Ex: Gender, mathematical ability, test anxiety
  • 13. Independent/Dependent variables: • A dependent variable is presumed to be affected by one or more independent variable. The dependent variable is often called an outcome variable Example: Gender of teacher and subject matter taught Variables
  • 14. • A moderator variable is a secondary independent variable that the researcher selects because he or she thinks it may affect the relationship between the primary independent variable and the dependent variable. Variables
  • 15. • Research Question 1: “Does anxiety affect test performance and, if so, does it depend on test-taking experience?” – Independent variable: anxiety level – Moderator variable: test-taking experience – Dependent variable: test performance Variables
  • 16. Variables A mediator variable is a variable that attempts to Explain the relationship between the 2 variables. Example : “Does anxiety affect test performance and, if so, does it depend on test-taking experience?” The mediator could be the SES
  • 17. • An extraneous variable is an independent variable that may have unintended effect on the dependent variable. Variables
  • 18. Example: The principal of a high school compares the final examination scores of two history classes taught by teachers who use different methods, not realizing that they are also different in many other ways because of extraneous variables. The classes differ in: Size of class - Gender of students- Gender of teacher- Age of teacher - Time of day class meets Days of week class meets- Length of class - Ethnicity of teacher Variables

Hinweis der Redaktion

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