Research Methods- multiple choice exam questions
Jeremiah
Terms in this set (61)
What is a hypothesis? 2. A prediction made to test a theory.
1. The square root of the sum of squares of
two shorter sides of a triangle.
2. A prediction made to test a theory.
3. A set of ideas that drive an area of
research.
4. A reliability measurement.
5. A set of related statements that explains a
variety of occurrences
What is the difference between interval and 1. The distance between points on the scale is equal across the range of interval data.
ordinal variables?
1. The distance between points on the scale
is equal across the range of interval data.
2. Ordinal data can be ordered, but interval
data cannot.
3. Interval variables contain only two
categories.
4. Ordinal variables have a fixed zero point,
whereas interval variables do not.
5. Interval data can be ordered, but ordinal
data cannot.
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, 8/4/24, 9:31 AM
In an experimental design, the dependent 1. The one that is not manipulated and in which any changes are observed.
variable is
1. The one that is not manipulated and in
which any changes are observed.
2. The one that is manipulated in order to
observe any effects on the other.
3. A measure of the extent to which personal
values affect research.
4. An ambiguous concept whose meaning
depends on how it is defined.
5. A variable that always systematically varies
with the independent variable.
A researcher investigated the relationship 5. length of test.
between test length and grades in an
Introductory Psychology course. She
conducted an experiment and found that
students taking long exams received better
grades than students who took short exams.
The independent variable was
1. short exams
2. test grades
3. class size
4. gender of student
5. length of test.
What is reduced in a quasi-experiment that 2. Control.
an experiment always has?
1. Participants.
2. Control.
3. Confidence.
4. Number of observations.
5. Data.
Internal validity relates to 5. How well the features of the experimental design allow us to relate the data to the
experimental question.
1. How much we can generalise the result to
other situations.
2. How much we can generalise the result to
other samples from the same population.
3. How good the data are.
4. How well the data agree with the
experimental hypothesis.
5. How well the features of the experimental
design allow us to relate the data to the
experimental question.
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