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Nonexperimental
Quantitative Design
Chapter 5
Nonexperimental Quantitative Design

A study that measures or
observes subjects
without attempting to
introduce a treatment
Nonexperimental Quantative
Design
Correctional Design

• A study where the researcher
collects data of two or more
variables

• Correlation refers to the
degree two variables
consistently vary in the same
or opposite direction

Descriptive Design

• Research carried out to
describe some phenomenon
as it exists

• Doest not involve
correlations of two or more
variables

• The purpose of the study is to
observe, describe and
document aspects of a
situation as it naturally
occurs
Correlation can be positive or negative
when variables vary in the same direction
(positive correlation) or in opposite directions
(negative correlation).
Example of a positive correlation: student grades and SAT
scores (on average)
Example of negative correlation: low grades and low SAT
scores (on average)
Correlation coefficient – statistic indicating
the degree to which two variables are correlated
Perfect negative correlation
perfect positive correlation ranges in value
+1.0 to -1.0
0 indicates that the variables are unrelated
Example: date of birth and age are -1.0
because if you know one, you can predict the
other
Correlation matrix
Different kinds of variables:
• Continuous variable – variables such as age, height, or test
scores, that can take a wide or infinite number of values

• Categorical variable – variables such as gender or ethnicity that
have a limited number of value, such as a dichotomous variable.

• Dichotomous variable – can only take on two values, such as
gender, on-off, night-day.
Advantages Vs disadvantages
(correlation Design)

• There is no artificial

alteration, researchers study
phenomena as it exists.
• They help us decide what
variables are worth further
study in experiments.
• They allow researchers to
learn about many variables at
once (matrix).

• Correlation does not
measure cause

• Does not allow
researchers to come to
any conclusions about
cause and effect
The End

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Nonexperimental quantitative design

  • 2. Nonexperimental Quantitative Design A study that measures or observes subjects without attempting to introduce a treatment
  • 3. Nonexperimental Quantative Design Correctional Design • A study where the researcher collects data of two or more variables • Correlation refers to the degree two variables consistently vary in the same or opposite direction Descriptive Design • Research carried out to describe some phenomenon as it exists • Doest not involve correlations of two or more variables • The purpose of the study is to observe, describe and document aspects of a situation as it naturally occurs
  • 4. Correlation can be positive or negative when variables vary in the same direction (positive correlation) or in opposite directions (negative correlation). Example of a positive correlation: student grades and SAT scores (on average) Example of negative correlation: low grades and low SAT scores (on average)
  • 5. Correlation coefficient – statistic indicating the degree to which two variables are correlated Perfect negative correlation perfect positive correlation ranges in value +1.0 to -1.0 0 indicates that the variables are unrelated Example: date of birth and age are -1.0 because if you know one, you can predict the other
  • 7. Different kinds of variables: • Continuous variable – variables such as age, height, or test scores, that can take a wide or infinite number of values • Categorical variable – variables such as gender or ethnicity that have a limited number of value, such as a dichotomous variable. • Dichotomous variable – can only take on two values, such as gender, on-off, night-day.
  • 8. Advantages Vs disadvantages (correlation Design) • There is no artificial alteration, researchers study phenomena as it exists. • They help us decide what variables are worth further study in experiments. • They allow researchers to learn about many variables at once (matrix). • Correlation does not measure cause • Does not allow researchers to come to any conclusions about cause and effect