Chapter 2 Flashcards
Rationalism
the idea that knowledge can be
obtained through reasoning, simply thinking about the topic
Change blindness
A stimulus undergoes a change without begin notice by its observer, proves that reasoning alone cannot be the only way we obtain knowlage
Empiricism
the idea that knowledge can be obtained through observation and experience
Goal of scientific enterprise
- Measurement and description
- Understanding and prediction
- Application and control
The Scientific Method
- IDENTIFY Question of Interest
- GATHER Information and FORM Hypothesis
- TEST Hypothesis by Conducting Research
- ANALYZE Data, Draw Tentative Conclusions, and REPORT Findings
- BUILD a Body of Knowledge; Ask Further Questions; Conduct More Research; Develop and Test Theories
- Restart the process
Variable
Any characteristic that can vary
Operational Definition: Defines a variable in terms of specific procedures used to produce or measure it
• A description in concrete, measurable terms
Participants/Subjects
the organisms whose behaviour is systematically observed in a study
Statistics
used to analyze data and decide
whether hypotheses were supported or not
• Findings are shared through reports at scientific meetings and in scientific journals
Direct observation
watch and record behaviour
as objectively and precisely as possible
Questionnaire
a series of written questions designed to obtain information about attitudes, opinions, and specific aspects of behaviour
Interview
face-to-face dialogue
Psychological test
a standardized measure to
obtain a sample of subjects’ behaviour
Physiological/neural recording
an instrument monitors and records specific physiological processes in a subject
Examination of archival records
analyze existing institutional records
Data Collection Techniques
Psychological test
Physiological/neural recording
Examination of archival records
Types of Research Studies
Descriptive Methods: any means to capture, report, record, or otherwise describe a group
• Naturalistic observation
• Participant observation
• Case studies
• Surveys
Sometimes called Correlational Research
Naturalistic Observation
• Observe behavior without manipulation
• Most likely representative of real world behavior
Cons:
• No control over behavior
• Difficult to determine exact cause of behavior
Participant Observation
• Researcher interacts with population of interest
• Allows for research insights from participants’ perspective
Cons:
• May be subject to biases or interpretation • Observations may not be repeatable
Case Study
• A report of a single person, group, or situation
• Collect a lot of detail
Cons:
• Not an experiment
• Can be difficult to draw causal relationships
Survey
• Questions to extract specific information from a group of people
• Relatively easy to administer
• An effective approach to gather lots of information
Cons:
• Susceptible to biases from both researchers and participants
Experimental Research
Experiment: manipulation of one variable under controlled conditions so that resulting changes in another variable can be observed
• Detection of cause-and-effect relationships
• Testing theories through controlled experiments
• Hypothesis driven
Hypothesis
a tentative explanation or
prediction about some phenomenon that often takes the form of an “If-Then” statement
Theory
a set of formal statements that explain how and why certain events or phenomena are related to one another
What makes a good theory?
• Consistent with prior observation (i.e., predictions are supported by research)
• Conforms to law of parsimony (i.e., is as simple as possible); aka Occam’s Razor
• Specific
• Measurable
• Establish causality*
• Falsifiable – something that we can actually test
Independent variable
variable manipulated
Dependent variable
variable affected by manipulation
How does X affect Y?
X = independent variable, Y = dependent variable
Extraneous Variables
uncontrolled events that can affect our dependent variable
• Aka confounding variables
Population
the entire set of individuals about
whom we wish to draw a conclusion
Sample
a subset of individuals drawn from a population
- Simple random sample
• Everyone has an equal chance
- Stratified random sample
• Divide into subgroups and take representative samples
- Non-random sample
• Due to study constraints, not equal chances
• Not always possible to randomly sample
• Sometimes, you have to design your research with the idea that we can’t randomly sample in mind
• That can be okay if:
1. Similarity of a sample and a population doesn’t matter
2. Multiple experiments conducted on different samples have similar results
3. Similarity of sample and population is sometimes reasonable
- Convenience sample
• Work with what you’ve got (e.g., subject pool)
representative sample
A sample that reflects the important characteristics of the population
- it is better to have a smaller repre- sentative sample than a larger, unrepresentative one
Random sampling
Method of sampling in which every member of the population has an equal probability of being chosen to participate
Experimental group
subjects who receive some special treatment in regard to the independent variable