The Need for Psychological Science
Psychologists, like all scientists, use
the scientific method to construct theories that organize observations and imply testable hypotheses
Hindsight Bias
we tend to believe, after learning an outcome, that we would have
foreseen it
the “I-knew-it-all-along” phenomenon
Overconfidence
we tend to think we know more than we do
Critical Thinking
thinking that does not blindly accept arguments and conclusions
examines assumptions
discerns hidden values
evaluates evidence
Guidelines for Evaluating Reports of Psychological
Research
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Don’t confuse pseudoscience or nonscience with science.
•
Be skeptical.
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Be aware that scientists may disagree.
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Keep in mind that research is generally about averages.
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Whenever possible, go to the original source.
The Scientific Method
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“Scientific method” refers to
–
an abstract concept,
–
not a particular technique or method.
•
The scientific method refers to ways in which scientists ask questions and the logic and methods they use to gain answers.
Theory
an explanation using an integrated set of principles that organizes
and predicts observations
Hypothesis
a testable prediction
often implied by a theory
Getting Started
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How do I develop a hypothesis to test in my research?
– Think about deviations (oddities, exceptions) from a general
trend or principle.
– Imagine how you would behave in a task or when faced with
a specific problem.
– Consider similar problems with known solutions.
– Make sustained, deliberate observations of a person or phenomenon
(e.g., perform a “case study”).
– Generate counterexamples for an obvious conclusion about
behavior.
– Borrow ideas or theories from other disciplines.
– Read reports of psychological research.
Goals of the Scientific Method
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Researchers use the scientific method to meet four research goals:
–
description
–
prediction
–
explanation
–
application
Operational Definition: a statement of procedures (operations) used to define research variables
Example: intelligence may be operationally defined as what an intelligence
test measures
Replication: repeating the essence of a research study to see whether the basic finding generalizes to other participants
and circumstances
usually with different participants in different situations
Description
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Most psychology research is nomothetic rather than idiographic.
– Nomothetic: large sample sizes, “average” performance
of a group
– Idiographic: individual case studies
– Nomothetic researchers appreciate there are important differences
among individuals; they seek, however, to emphasize similarities among individuals.
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Most psychology research is quantitative rather than qualitative.
– Quantitative: statistical summaries of performance
– Qualitative: verbal summaries of research findings
Case Study
Psychologists study one or more individuals in great depth in the hope of revealing things true of us all
Survey: technique for ascertaining the
self-reported attitudes or behaviors of people, usually by questioning a representative, random sample of people
Naturalistic Observation
observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation
Random Sample: sample that fairly represents a population because each
member has an equal chance of inclusion
False Consensus Effect: tendency to overestimate the extent to which others share our beliefs and behaviors
Population: all the cases in a group, from which samples may be drawn for a study
Measures must be valid and reliable.
–
Validity refers to truthfulness; a valid measure is one that measures what it claims to measure.
–
Reliability refers to the consistency of a measure.
–
Note that a measure may be reliable but not valid.
• For example, a scale that consistently underreports
someone’s weight is reliable but not valid.
Correlation Coefficient: a statistical
measure of the extent to which two factors vary together, and thus how well either factor predicts the other
Correlation Scatterplot
a graphed cluster of dots, each of which represents the values of two variables
the slope of the points suggests the direction of the relationship
the amount of scatter inversely suggests the strength of the correlation
little scatter indicates high correlation
Correlation and Causation
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Correlation does not imply causation
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Correlation is a necessary condition for causal inference
Three conditions for making a causal inference
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Covariation of events: If one event causes the other, the two events must vary together (when one changes, the other
must change also).
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Time-order relationship: The presumed cause must occur before the presumed effect.
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Elimination of plausible alternative causes: We accept a causal explanation only when other possible causes of the
effect have been ruled out.
Illusory Correlation: the perception of
a relationship where none exists
Causal Inferences
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Scientific control requires that the effects of independent variables are isolated.
•
A confounding occurs when two potentially effective independent variables are allowed to vary together simultaneously
— we cannot determine which variable caused the effect on the dependent variable.
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When an experiment is free of confoundings, we can make a causal inference regarding the effect of the independent
variable on the dependent variable.
Experiment: an investigator manipulates
one or more factors (independent variables) to observe their effect on some behavior or mental process (the dependent variable)
by random assignment of participants the experiment controls other relevant factors
Experimentation
Placebo: an inert substance or condition
that may be administered instead of a presumed active agent, such as a drug, to see if it triggers the effects believed to
characterize the active agent
Double-blind Procedure: both the research
participants and the research staff are ignorant (blind) about whether the research participants have received the treatment
or a placebo
Experimentation
Independent Variable
the experimental factor that is manipulated
the variable whose effect is being studied
Dependent Variable
the experimental factor that may change in response to manipulations
of the independent variable
in psychology it is usually a behavior or mental process
In a correlation study, it is better to
refer to:
The perceived cause as the predictor
The perceived effect as the criterion
Statistical Reasoning
Mode: the most frequently occurring score in a distribution
Mean: the arithmetic average of a distribution obtained by adding the scores and then dividing by the number of scores
Median: the middle score in a distribution, half the scores are above it and half are below it
Range: the difference between the highest and lowest scores in a distribution
Standard Deviation: a computed measure of how much scores vary around the mean
Statistical Significance: a statistical statement of how likely it is that an obtained result occurred by chance
Statistical Reasoning
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You can never prove your hypothesis
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You can only disprove that your findings are due to chance
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The Null Hypothesis: the findings are due to chance
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If you disprove the Null Hypothesis, your hypothesis is most likely true
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Type I error: Claiming significant findings when there is no significance
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Type II error: Not claiming significant findings when there really is significance.
Application
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Psychologists apply their knowledge and research methods to improve people’s lives.
Frequently Asked Questions about Psychology
- Does behavior depend on ones culture?
- Is psychology free of value judgments?
- Can laboratory experiments illuminate everyday life?
- Is psychology potentially dangerous?
- Does behavior vary with gender?