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Chapter 2 Research Methods. It is actually way more exciting than it sounds!!!!. Conducting Research. 6 step process Form a research question Form a hypothesis Test the hypothesis Analyze results Draw conclusions Replicate study. Experimental Method. Formulate Hypothesis - PowerPoint PPT Presentation
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Chapter 2Research Methods
It is actually way more exciting than it sounds!!!!
Conducting Research
• 6 step process1. Form a research question
2. Form a hypothesis
3. Test the hypothesis
4. Analyze results
5. Draw conclusions
6. Replicate study
Experimental Method• Formulate Hypothesis• Design Research/Study Method
(type of method: naturalistic observation, case studies, surveys, experiments, etc.)
• Collect the Data• Analyze the Data • Report the Findings (journal,
critique, replicate)• Draw Conclusion or Theory on
Explanation of Findings
Research terms to know
• Hypothesis – testable prediction
• Replication– Repeating the study to ensure outcome is the
same
Types of research methods
• Survey method
• Case Study method
• Naturalistic method
• Correlational method
• Longitudinal method
• Cross-sectional method
• Experimental method (laboratory or field)
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The Survey Method
• A technique for getting self-reported attitudes, opinions or behaviors of people usually done by questioning
• Conduct via interview, mail, phone, or internet
• They are cheap, anonymous, you get a diverse population, and easy to get a random sampling (sample that represents your population you want to study).
Sampling• Identify the
population you want to study.
• The sample must be representative of the population you want to study.
• GET A RANDOM SAMPLE.
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Survey
Random Sampling
If each member of a population has an equal chance of inclusion into a sample, it is called a
random sample (unbiased). If the survey
sample is biased, its results are not valid.
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Survey Method - problems
• Low Response Rate
• People Lie or just misinterpret themselves.
• Wording Effects– Wording can change the results of a
survey
Case Studies
• A detailed picture of one or a few subjects.
• Tells us a great story…but it just describes behavior
• Does not explain why anything is happening .
The ideal case study is John and Kate. Really interesting, but what does it tell us about families in general?
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Case Study
A clinical study is a form of case study in which the therapist
investigates the problems associated
with a client.
http://behavioralhealth.typepad.com
Clinical Study
Naturalistic Observation
• Watch subjects in their natural environment.
• Do not manipulate the environment.
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Correlational Research• Detects relationships between variables.• Does NOT say that one variable causes
another.
There is a positive correlation between ice cream and murder rates. Does that mean that ice cream causes murder?
Types of CorrelationPositive Correlation• The variables go in
the SAME direction.
Negative Correlation• The variables go in
opposite directions.
Studying and grades has a positive correlation.Drug use and grades has a negative correlation
CorrelationPositive Correlation
As one number increases, the other increases.
Ex: Study time to GPA
Negative Correlation
As one number increases, the other decreases.
Ex: Absences to GPA
CORRELATION IS NOT CAUSATION!!!• People that floss everyday live 3 years longer than those that do not.
• Red wine drinkers live longer than those that do not drink red wine.
• As speed limits increased on America’s highways, the death rate went down.
• Women with breast implants commit suicide 3 times as often as those without breast implants.
• Children who are played Mozart in the womb have higher IQ’s.
• Marijuana users in youth are more likely to have mental illness as adults.
• As ice cream sales increased, so did shark attacks.
• More TV’s per person in a country, the longer people live.
Experimental Method• Looking to prove
cause and effect relationships.
• Laboratory v. Field Experiments
Smoking causes health issues.
• Identify the population you want to study.
• The sample must be representative of the population you want to study.
• GET A RANDOM SAMPLE.
Population & Sample
Variables• Independent Variable (I.V.): manipulated by
experimenter
• Dependent Variable (D.V.): MEASURED variable influenced by independent
• Operational definition
• Confounding/extraneous variables
Random Assignment
• Once you have a random sample, randomly assigning them into two groups helps control for confounding variables.
Assign participants to groups
• Experimental group– Receives the
independent variable
• Control Group– Does not receive the
independent variable– May receive a placebo
• A false treatment– Make cause the
placebo effect
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Flaws in Research
• Sampling Bias
• Overgeneralization
• Placebo effect
• Hawthorne/Barnum effect
• Experimenter Bias
Eliminating Experimenter bias
Single-blind study
• Participants do not know what group they are in
Double-blind study
• Participants and experimenters are unaware who receives treatment
APA Ethical Guidelines for Research
• IRB- Institutional Review Board– Must approve your
study 1st
• Both for humans and animals.
Human Research
• No Coercion- must be voluntary
• Informed consent• Confidentiality &
Anonymity• Do not harm• Must debrief after
Animal Research
• Clear purpose• Treated in a
humane way• Acquire animals
legally• Least amount of
suffering possible.
Normal Distribution
68% are within One standard deviation from mean
95% are within Two standard deviations from mean
Bell or Normal Curve
StatisticsDescriptive Statistics
Central Tendency:
mean – average
median – middle score
mode – most reoccurring number or numbers
Measures of Variability:
Standard deviation: shows how spread out the scores are from the mean
Range: distance from smallest score to the largest score
Measures of Central Tendency
A Skewed Distribution
Skews
Other measures of variability
• Range: distance from highest to lowest scores.
• Standard Deviation: the variance of scores around the mean.
• The higher the variance or SD, the more spread out the distribution is.
• Do scientists want a big or small SD?
Shaq and Kobe may both score 30 ppg (same mean).But their SDs are very different.
Standard Deviation