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Psychology
Methodology
Thinking Critically about research
Today’s Objective
Content Objective
S I can identify the steps necessary to design a
research study in psychology.
S I can evaluate an experiment.
Today’s Key Terms/Review
Dependent Variable:
The variable that will be
measured following the
change.
Methodology: The
steps and strategies
that scientists use to
carry out research.
Independent Variable:
The variable that will cause
change during an experiment.
Scientific Inquiry Process
Types of Research Studies
Experimental
 Research which tests a
hypothesis in a highly-
controlled setting.
 Laboratory, Field, or Natural
 Generally more Quantitative
(Based on Numbers)
Non-Experimental
 Research which observes
people in a real-world situation
and records how they behave.
 Real-World Settings
 Generally more Qualitative
(Based on Observations)
 Case Studies
Key Components of a
Research Study
Critical Thinking
Findings &
Conclusions
Method
Aim
Step 1: Aim
 Aim: The Purpose of the Study.
 The Aim of the experiment should identify…
1. The independent and dependent variables
2. The target population
 What was Mr. Bonica’s Aim?
 To investigate the impact that mindfulness can have
on short-term memory in Tualatin High School
students.
Step #2: Method
 This is the stage of an experiment where the
researcher carefully plans their experiment. Things
they must consider include…
 Participants/Sampling
 Control Conditions
 Design
 Validity
 Reliability
 Ethics (Next Class)
Participants
 Key Questions: Who will be your participants and how will you
get them to participate in your research?
 There are different ways to go about this process…
 Random Sampling: a sample that fairly represents a
population because each member has an equal chance of
inclusion.
 Opportunity Sampling: A sample of participants produced
by selecting people who are most easily available at the
time of the study. May not be representative of whole
population.
 Systematic Sampling: Selecting certain individuals with
certain traits…May only apply to the population that was
tested.
Controls
 Controls are the strategies that researchers use to limit
the impact of all variables besides the specified
independent variable.
 Scripted Instructions and Conditions (Time of Day, Room,
etc.)
 Randomization of participants
 Placebos (medicine)
 Blind Studies
Blinds: Single and Double
Blinds
 Studies that use blinds are used to limit the possibility
that a researcher’s or participant’s expectations will
impact the results of a study.
 Single-Blind: The participant does not know whether
they are in the treatment or control group.
 Double-Blind: Neither the participant or the research
know whether the participant is in the treatment or control
group.
Treatment and Control Groups
 Treatment Group: The group that is being impacted
by the independent variable.
 Control Group: The group that is not being impacted
by the independent variable.
 The control group gives something to compare to
the treatment group.
 Helps tell researchers if it was the independent
variable that was really impacting the experiment.
Design
S Design is the strategy that researchers use to divide
their participants into either the treatment or control
group.
S There are two main ways to do this…
S Repeated Measures Design: Each participant
is tested under both the control and test group.
S Independent Sample Design: Participants are
either tested in the control or the treatment
group.
Reason for Repeated Measure
Design
+Limits Participation Variability: Differences in results are
due to natural differences between participants.
+Requires fewer participants.
-May lead to Order Effect: When an earlier tasks such as a
question or test impact the performance on a later task.
- Demand Characteristics: When participants guess the aim
of the study and do not act naturally because they want to
be helpful – or the harmful.
Reasons for Independent Sample
Design
+Avoids Order Effect
+ Participants are less likely to guess the hypothesis
of the study.
+ Less likely to bore participants.
+ Same material may be used with both groups.
- More likely that Participant Variability impacts results
Reliability
S The extent to which the findings of a study
can be replicated (duplicated, copied) by
other experiments.
S What would have to happen in Mr. Bonica’s
other psychology classes to make it reliable?
Validity
 An experiment is valid if it measures what it
claims it measures.
Internal Validity External Validity
The extent that the independent
variable is what is impacting the
change in behavior.
The extent that the results from a
study can be generalized to
different situations and groups of
people.
Threats to Internal Validity
S Participant Variability: Differences in results are due to
natural differences between participants.
S Order Effect: When an earlier tasks such as a question or
test impact the performance on a later task.
S Demand Characteristics: When participants guess the aim
of the study and do not act naturally because they want to
be helpful – or the harmful.
S Researcher Bias: The presence of a researcher changes
the way participants act.
Types of External Validity
S Participant Validity: Do the results apply to other
groups in society/a society as a whole?
S Cultural Validity: Do the results apply to other
cultures?
S Ecological Validity: Do the results apply to other
situations (including those in the real world)?
S Historical Validity: Do the results apply to other time
periods?

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Psychology Methodology

  • 2. Today’s Objective Content Objective S I can identify the steps necessary to design a research study in psychology. S I can evaluate an experiment.
  • 3. Today’s Key Terms/Review Dependent Variable: The variable that will be measured following the change. Methodology: The steps and strategies that scientists use to carry out research. Independent Variable: The variable that will cause change during an experiment.
  • 5. Types of Research Studies Experimental  Research which tests a hypothesis in a highly- controlled setting.  Laboratory, Field, or Natural  Generally more Quantitative (Based on Numbers) Non-Experimental  Research which observes people in a real-world situation and records how they behave.  Real-World Settings  Generally more Qualitative (Based on Observations)  Case Studies
  • 6. Key Components of a Research Study Critical Thinking Findings & Conclusions Method Aim
  • 7. Step 1: Aim  Aim: The Purpose of the Study.  The Aim of the experiment should identify… 1. The independent and dependent variables 2. The target population  What was Mr. Bonica’s Aim?  To investigate the impact that mindfulness can have on short-term memory in Tualatin High School students.
  • 8. Step #2: Method  This is the stage of an experiment where the researcher carefully plans their experiment. Things they must consider include…  Participants/Sampling  Control Conditions  Design  Validity  Reliability  Ethics (Next Class)
  • 9. Participants  Key Questions: Who will be your participants and how will you get them to participate in your research?  There are different ways to go about this process…  Random Sampling: a sample that fairly represents a population because each member has an equal chance of inclusion.  Opportunity Sampling: A sample of participants produced by selecting people who are most easily available at the time of the study. May not be representative of whole population.  Systematic Sampling: Selecting certain individuals with certain traits…May only apply to the population that was tested.
  • 10. Controls  Controls are the strategies that researchers use to limit the impact of all variables besides the specified independent variable.  Scripted Instructions and Conditions (Time of Day, Room, etc.)  Randomization of participants  Placebos (medicine)  Blind Studies
  • 11. Blinds: Single and Double Blinds  Studies that use blinds are used to limit the possibility that a researcher’s or participant’s expectations will impact the results of a study.  Single-Blind: The participant does not know whether they are in the treatment or control group.  Double-Blind: Neither the participant or the research know whether the participant is in the treatment or control group.
  • 12. Treatment and Control Groups  Treatment Group: The group that is being impacted by the independent variable.  Control Group: The group that is not being impacted by the independent variable.  The control group gives something to compare to the treatment group.  Helps tell researchers if it was the independent variable that was really impacting the experiment.
  • 13. Design S Design is the strategy that researchers use to divide their participants into either the treatment or control group. S There are two main ways to do this… S Repeated Measures Design: Each participant is tested under both the control and test group. S Independent Sample Design: Participants are either tested in the control or the treatment group.
  • 14. Reason for Repeated Measure Design +Limits Participation Variability: Differences in results are due to natural differences between participants. +Requires fewer participants. -May lead to Order Effect: When an earlier tasks such as a question or test impact the performance on a later task. - Demand Characteristics: When participants guess the aim of the study and do not act naturally because they want to be helpful – or the harmful.
  • 15. Reasons for Independent Sample Design +Avoids Order Effect + Participants are less likely to guess the hypothesis of the study. + Less likely to bore participants. + Same material may be used with both groups. - More likely that Participant Variability impacts results
  • 16. Reliability S The extent to which the findings of a study can be replicated (duplicated, copied) by other experiments. S What would have to happen in Mr. Bonica’s other psychology classes to make it reliable?
  • 17. Validity  An experiment is valid if it measures what it claims it measures. Internal Validity External Validity The extent that the independent variable is what is impacting the change in behavior. The extent that the results from a study can be generalized to different situations and groups of people.
  • 18. Threats to Internal Validity S Participant Variability: Differences in results are due to natural differences between participants. S Order Effect: When an earlier tasks such as a question or test impact the performance on a later task. S Demand Characteristics: When participants guess the aim of the study and do not act naturally because they want to be helpful – or the harmful. S Researcher Bias: The presence of a researcher changes the way participants act.
  • 19. Types of External Validity S Participant Validity: Do the results apply to other groups in society/a society as a whole? S Cultural Validity: Do the results apply to other cultures? S Ecological Validity: Do the results apply to other situations (including those in the real world)? S Historical Validity: Do the results apply to other time periods?