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AP Psychology Chapter Two

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Title: AP Psychology Chapter Two


1
AP Psychology Chapter Two
  • Methods of Research

2
  • How do psychologists collect data about
    behavior?

3
Clever Hans!
4
  • Regardless of the method used, all research is
    based on the Scientific Method of Psychology
  • Scientific means systematic, testable, and
    objective.

5
  • What are the three main principles that guide
    the Scientific Method of Psychology?

6
  • Step 1 Theory
  • Step 2 Hypotheses
  • Step 3 Research and Observation

7
  • Theories organize known facts and summarizes
    current research in the field.

Theories are a well-substantiated explanation of
existing data.
  • E.g Low self-esteem leads to depression

8
  • A hypothesis is a testable prediction based on
    what is known or what is theorized.
  • They let us reject or revise our theory.

I Feel So Dumb I Cant Do Anything!
Eg People with low self-esteem score higher on a
depression scale.
9
  • Research or observation or experiments are
    generated to collect data, which then goes into
    evaluating the hypothesis, which may or may not
    add to the existing theory.

10
  • What are the two broad types of research that
    psychologists conduct?

11
Research Designs
  • Quantitative and Qualitative Research

12
  • Quantitative research emphasizes numbers,
    measurements, deductive logic, statistics,
    control, and experiments.
  • It is very objective and all about the numbers
    and hard data!

.
13
  • Quantitative research researchers use tools, such
    as questionnaires or equipment to collect
    numerical data and statistics

.
It is very objective and all about the numbers
and hard data!
14
  • Qualitative research emphasizes natural settings,
    observation, understanding, themes, verbal
    narratives, and flexible designs.

15
  • Qualitative data is in the form of words,
    pictures or objects.
  • It is much more subjective and results are based
    on observation and interpretation.

16
  • What are some examples of qualitative research
    methods?

17
Naturalistic Observation
18
Naturalistic Observation
  • Study behavior in its natural context.
    Spontaneous behavior in a subjects natural
    environment.
  • No interaction with the subject.

Is this natural?
19
  • IE. If you want to study the interactive
    behavior of a specific breed of gorillas, you
    would need to go to where the gorillas live in
    nature (not a zoo).
  • You would need to observe them without their
    knowledge, and without manipulating anything.

20
  • What are some potential problems with this type
    of research?

21
Bias
  • Situation in which a factor unfairly increases
    the likelihood of a researcher reaching a
    particular conclusion

22
Example of Bias
  • I am researching teenagers behavior and I was
    recently mugged by a group of teenagers am I
    likely to observe teenage behaviors as being
    motivated by evil versus good?
  • Why?

23
Case Studies
24
Case Study
  • In depth study of one individual with the hopes
    of determining universal principles
  • Case studies often include face-to-face
    interviews, paper and pencil tests, and more.

25
Case Study
  • In depth study of one individual with the hopes
    of determining universal principles
  • Very open to bias
  • Difficulty of applying data from one person to
    everyone

26
  • IE. I want to know why Bart killed thirty-five
    people over a twenty-year period of time. I will
    examine the police files, observe and interview
    Bart, talk to his and the victims families, etc.

27
Difficulty of applying data from one person to
everyonebias, etc
  • What are some potential problems with this type
    of research?

28
Surveys
29
Survey Method
  • Research method that relies on self-reports uses
    questionnaires, interviews.
  • Usually a very efficient and inexpensive method
    to collect a lot of information and create basic
    assumptions about behaviors.

30
When Creating A Survey
  • Questions need precise answers
  • Language and wording must be simple
  • IE. 77 of New Yorkers where interested in plants
    and trees, but only 39 where interested in
    botany 48 where interested in fossils, but only
    39 where interested in paleontology 42 where
    interested in rocks and minerals, but 53 where
    interested in Geology

31
When Creating A Survey
  • Ask questions that wont embarrass or humiliate
  • Responders will lie if there is a perceived
    punishment Anonymity is key
  • Dont ask morally ambiguous questions keep it
    simple and to the point
  • Who the interviewer is will affect the responders
    answers

32
When Creating A Survey
  • Shortly phrased questions.
  • IE. As you know, the term Holocaust usually
    refers to the killing of millions of Jews in Nazi
    death camps during WWII. Does it seem possible
    or does it seem impossible to you that the Nazi
    extermination of the Jew never happened?
  • 1 out of 5 Gallup poll responders said that the
    Holocaust never happened due to the phrasing of
    the question

33
When Creating A Survey
  • Hot Topics/Key Words
  • IE. Do you favor an amendment prohibiting
    abortions? lt50 opposed OR Do you favor an
    amendment protecting the life of an unborn child?
    gt70

34
When Creating A Survey
  • Limited Answer Options
  • Order of Questions easier to more difficult
    works best
  • Fright Terms avoid using terms with big
    repercussions
  • IE. Use Problem V. Crisis, Past V. Dead, Dealt
    With V. Punish
  • Use a RANDOM SAMPLE (more on that later)

35
False Consensus Effect
  • Tendency to overestimate the extent to which
    others share our beliefs and behaviors.
  • Skews the reports by jumping to large conclusions
    that fit into our pre-conceived ideas.

36
Correlation
37
Correlational Study
  • Research study designed to determine the degree
    to which two variables are related to one another

38
  • IE. What is the relationship between exercise
    and weight? Smoking and cancer? Brain size and
    intelligence? Education and level of income?

39
Is there a correlation?
40
  • What are some potential problems with this type
    of research?

41
  • Watch out for
  • illusory correlations!
  • Does sugar make kids more hyper?
  • Does a full moon make people act crazier?
  • Does going outside with no coat on mean you will
    catch a cold?

42
Which is the more likely hand?
43
Which is a more likely hand?
1 in 2,598,960
44
Which is the more likely hand?
We often perceive order in random events!
1 in 2,598,960
1 in 2,598,960
45
Correlational Study
  • Correlation studies DO NOT prove causation. They
    can only suggest that there is or is not a
    relationship between the two variables.

46
  • IE.
  • A correlation study may suggest that people who
    earn higher levels of education generally earn
    higher salaries, but it cant definitively say
    that getting a degree will get you a higher
    paying job.

47
  • IE. Student scores on the SAT are collected, as
    are senior year GPAs.
  • We want to see if a high GPA correlates to a
    high SAT score.
  • We cant say one causes the other, but we can
    imply that students who have high/low GPAs score
    high/low on SATs.
  • Can we use GPA as a predictor of SAT performance?

48
But Remember.
Correlation Does Not Imply Causation!
49
  • Graphing Correlation Relationships

50
  • After you plot the data the slope (direction) of
    the line indicates whether or not there is a
    positive, negative, or no relationship between
    variables.
  • How close the dots are together indicates how
    close the relationship between the variables is.

51
Positive Correlation
  • As the value of one variable increases (or
    decreases) so does the value of the other
    variable.

52
  • Studying and Grades
  • As students study more, their grades increase.
  • Practice and Athletics
  • As athletes practice more, their batting averages
    increase
  • Dieting and Weight Loss
  • As dieters ate less, their weight dropped.

53
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55
Negative Correlation
  • As the value of one variable increases, the value
    of the other variable decreases.
  • The more you exercise, the less you weigh
  • The more you study, the less your teachers yell
    at you

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Zero Correlation
  • There is no relationship whatsoever between the
    two variables.
  • The length of your hair has no influence on your
    level of intelligence.

59
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61
Correlational Study
  • Important NOT to imply a cause and effect
    relationship between the variables
  • Correlational study does not determine why the
    two variables are related--just that they are
    related.
  • Correlational studies are helpful in making
    predictions.

62
Experiment
  • An investigation seeking to understand relations
    of cause and effect.
  • The experimenter changes a variable (cause), and
    in turn changes another variable (effect).
  • At the same time the experimenter hopes to hold
    all of the other variables constant

63
Experiment
  • An investigation seeking to understand relations
    of cause and effect.

64
The experimenter changes a variable (cause),
which in turn changes another variable (effect).
At the same time the experimenter hopes to hold
all of the other variables constant so that they
can attribute any changes to the manipulation.
65
  • IE. I want to know if new drug A will help to
    alleviate the symptoms of insomnia.
  • Patients will be given different doses at
    different times to see what works and what
    doesnt.
  • I need to control other factors, like mattress
    softness and room temperature, to eliminate them
    as causes of sleep deprivation.

66
  • How do I create a valid and reliable experiment?

67
Step 1 Choose a Hypothesis
  • A hypothesis expresses a relationship between two
    variables. (its a testable prediction
    remember?)
  • IE. My hypothesis is that watching violent
    television programs makes people more aggressive.

68
Step Two Choose Variables
  • Variables are things that are measured,
    controlled, or manipulated in research.

Type of television program, violent behavior,
environment, participants, etc
69
  • The independent variable is the manipulated
    variable.
  • IE. The type of TV program viewed is the
    independent variable because I can adjust what
    shows are viewed, for how long, by whom, etc.

70
  • The dependent variable is measured for change.
  • IE. Measuring the change in aggression levels is
    the dependent variable in our experiment because
    it changes based on what is viewed, for how long,
    etc.

71
Step Three Operationalize
  • When you operationalize your variables, you are
    defining them and explaining how you will measure
    them.

72
IE. The operational definition of the
independent variable (what defines a violent
show?) scenes of fighting, bloodshed, use of
weapons, etc
IE. The operational definition of the dependent
variable (what defines an increase in aggressive
behavior?) would be an increase in agitation or
tenseness, increased vocal volume, threats of
bodily harm, kicks, punches, throwing objects,
etc.
73
Step Four Identify Potential Extraneous
Variables/Confounding Variables
  • Any factor or variable that causes an effect (or
    potential affects) other than the variable being
    studied is considered an extraneous variable and
    must be eliminated or accounted for

74
  • IE. An extraneous variable in our experiment
    would be a phone call from a solicitor during a
    program,
  • the viewer receiving mail including a poor report
    card,
  • a viewer stubbing their toe during a show,
    alcohol abuse, etc.
  • All of these could increase aggressiveness, but
    are not related to viewing violent television.

75
Step Five Identify Who You Will Be Testing
  • The individuals on which the research will be
    conducted are called subjects (or participants).
  • A small group of subjects are drawn from a larger
    potential population.
  • IE. Our subjects will be drawn from the overall
    population of 12th grade males at Appo. High
    School.

76
Step Six How Do We Decide Who Will Be Subjects,
and Who Wont?
  • Since we cant realistically test all 12th grade
    males at Appo. High School, we have to create a
    representative sample of the population so that
    we can generalize our findings to the whole group.

77
Method 1 Rigorous Control Design
  • Designing an experiment with specific,
    hand-picked groups in mind.
  • IE. Only testing males, 18 years old, in AP
    Psychology.

78
Method 2 Sample Design
  • A sample is a representation of the entire
    population.
  • A random sample allows that every member of an
    overall population has an equal chance to be in
    the sample.
  • IE. Drawing names from a hat.

79
Method 3 Stratified Sample
  • Subdivide the population into at least two
    different subpopulations that share the same
    characteristics, then draw a random sample from
    each group.
  • IE. Surveying views on Equal Rights. Split your
    human population into men and women, and then
    randomly draw eight mens and womens names.

80
Method 4 Systematic Sample
  • Select a starting point from your population and
    then select every ?th participant.
  • IE. Merck corporation wants test the
    effectiveness of a new aspirin on their 100,000
    employees. Get a roster of employees, start at
    1, and then choose every 100th name on the list.

81
Method 5 Cluster Sampling
  • Divide your population into multiple subgroups,
    randomly choose a subgroup to test, and then test
    the entire population of that subgroup.
  • IE. Split the country up into geographic regions
    (East Coast, Midwest, etc.). Randomly choose a
    region to test, and then test every person in
    those states.

82
Method 6 Convenience Sampling
  • Use a population that is readily available.
  • IE. Test your neighbors, your family, your
    co-workers, a passer-by on the street.

83
Step Seven Assignment
  • Once you have chosen your subjects to study, you
    must assign them to one of two groups those that
    will be manipulated, and those that wont.

84
Group 1 Experimental Group
  • The experimental group receives the independent
    variable and is manipulated throughout the
    experiment.

85
  • IE. In our television violence experiment, those
    in the experiment group will watch varying
    degrees of violent program, for varying lengths
    of time, etc., and their changes in levels of
    aggression measured.

86
Group 2 Control Group
  • The control group does not receive the
    independent variable.

87
  • IE. In our television violence experiment, the
    control group will be shown a variety of
    non-violent programming in order to create a
    baseline to compare the experiment group against.

88
Placebo
  • A non-active substance or condition administered
    instead of a drug or active agent
  • Given to the control group
  • Sugar pill in the test made
  • to look like the SmartPill

89
How Do We Choose Our Subjects?Method 1
Random Assignment
  • Random assignment (dont confuse with random
    sample) means that the subjects have an equal
    chance of being placed into each group. If we
    allow subjects to choose their own group, we may
    have a subject-relevant confounding variable.

90
Subject-Relevant Confounding Variables
  • A subject-relevant confounding variable would
    allow those people that liked violent movies or
    were prone to violence already to choose to be in
    the experimental group.
  • Whats wrong with that?

91
Blind procedure
  • To help avoid this confounding variable, we
    prescribe a single-blind design. The subjects
    are blind to whether they have been randomly
    placed in the control or experiment group.
  • The researcher would know who is getting the
    SmartPill but not the participant

92
Double Blind Procedure
  • An experimental procedure where both the research
    participants and those collecting the data are
    ignorant (blind) to the expected outcome of the
    experiment

(the people handing out the pills nor the people
taking the pills know who actually got the
SmartPill
93
Method 2 Group Matching
  • When assigning members to the experiment or
    control group, it is important that the
    characteristics of both groups need to be as
    similar as possible.

94
  • IE. After rigorously or randomly determining our
    subjects, as many white, black, tall, short,
    overweight, slim members should be in the control
    group as there are in the experiment group.

95
Was the experiment reliable? (did you get the
results you expected)Can the experiment be
replicated? (can someone else conduct the same
experiment and get similar results?
  • Was the experiment a success?

96
REMEMBER !!!
  • Only experimental data can conclusively
    demonstrate causal relations between variables
    (A causes B to
    happen).

97
Step Eight Address Other Potential Issues With
Experiments
  • Situation-relevant confounding variables refer to
    making sure that the situations that the
    experiment and control groups are placed in are
    exactly the same. We must have equivalent
    environments.
  • IE. We cannot have those watching violent films
    in a large auditorium, and those viewing sitcoms
    in a small living room.

98
Experimenter Bias
  • Experimenter Bias occurs when the experimenter
    unconsciously treats members of the control and
    experiment groups differently, which increases
    the chances of confirming their hypothesis.
  • IE. The experimenter gives soda to the control
    group, and beer to the violent viewers. The
    experimenter speaks more abruptly with the
    violence crowd (inciting them?).

99
  • To help avoid this type of confounding
    variable, we employ a double-blind design, where
    neither the subjects nor the researcher may know
    which is the control or the experiment group. A
    third-party has the appropriate records so that
    the date can be analyzed later.

100
  • The Hawthorne Effect refers to the fact that some
    subjects will alter their behaviors simply
    because they know that they are part of an
    experiment, regardless of what is being done to
    them.

101
  • The Placebo Effect refers to the phenomenon that
    a patient's symptoms can be alleviated by an
    otherwise ineffective treatment, apparently
    because the individual expects or believes that
    it will work.

102
  • Hindsight Bias is the tendency to believe, once
    the outcome is already known of course, that you
    would have foreseen itthat even though it's over
    and you know the outcome, you knew it all along.

103
  • Overconfidence occurs when we tend to think that
    we know more than we do. Make over-generalization
    s when reporting results, forcing results into
    preconceived hypothesis to say I told you so,
    instead of letting the results speak for
    themselves, etc.

104
Bias
  • The tendency to notice evidence which supports
    one particular point of view or hypothesis

105
Researcher Bias
  • The tendency to notice evidence which supports
    one particular point of view or hypothesis

106
Example of Researcher Bias
  • If my hypothesis is that excessive sugar
    intake causes poor test performance, I will
    readily conclude this as fact when three students
    who failed the test were observed drinking a soda
    prior to the test. Other students who failed and
    other factors are ignored.

107
Participant Bias
  • Tendency of research subjects to respond in
    certain ways because they know they are being
    observed. The subjects might try to behave in
    ways they believe the researcher wants them to
    behave.

108
  • Once I have completed my research, how do I
    present my findings ?
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