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Naturalistic Observation
A research technique in which the researcher simply observes and describes behavior
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Correlational Approach
Correlational studies are used to look for relationships between variables
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Independent Variable
A variable under the control of the experimenter that may effect the dependent variable in a reliable fashion.
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Dependent Variable
The variable being examined by the researcher. It may or may not be effected by the IV
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Between Subjects Design
An experimental design in which each subjects is randomly assigned to only one of the treatment conditions
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Within Subjects Design
An experimental design where all subjects receive all treatment conditions. Also called a repeated measures design
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Type I Error
An error of statistical inference when the null hypothesis is rejected when it is true. This is an error of "seeing too much in the data."
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Type II Error
An error of statistical inference when the null hypothesis is retained when it is false. This is an error of "not seeing enough in the data."
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Confound
Variables not under the control of the experimenter that vary systematically with the independent variable
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Factorial Design
Experimental designs in which two or more independent variables are used. This permits the analysis of interactions between variables.
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Nuisance Variables
any variable other than the IV that affects the DV
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Floor and Ceiling Effects
- Floor - The values of the DV are so low they are not affected by the IV
- Ceiling - The values of the DV are so high they are not affected by the IV
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Main Effect
The effect of the change in level of one factor in a factorial experiment measured independently of other variables.
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Response Acquiescence effect
The tendency of an interviewee to agree with the questioner.
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Random & Fixed Factors
- Random - An IV whose levels were chosen randomly from a population of possible values
- Fixed - An IV whose levels were chosen non-randomly
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Modus Tollens
- If P then Q
- Not Q
- Therefore not P
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Affirming the consequent
Using Modeus Ponens backwards (If P then Q, Q, There for P) this form of logic is invalid, based upon this example
- If Bill Gates owns Fort Knox, then he is rich
- Bill Gates is rich.
- Therefore, Bill Gates owns Fort Knox.
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Properties of scales of measurement
- Identity Property
- Occurs when different entities receive different scales
- Magnitude Property
- Occurs when the ordering of values on the scale reflects the ordering of the trait being measured
- Equal intervals
- Occurs when a difference of 1 on the scale represents the same amount of the trait being measured everywhere on the scale (e.g. weight in pounds)
- Absolute Zero
- Occurs when a score of 0 indicates a complete absence of the trait being measured
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4 Types of scales
- Nominal - Identity Property
- Ordinal - Identity, Magnitude
- Invertal - Identity, magnitude, Equal Intervals
- Ratio - Identity, Magnitude, Equal intervals, absolute zero
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Quasi-Experiment
A design where random assignment or selection cannot be used due to impractibility or impossibility
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Factors effecting statistical power
- Alpha level
- Sample size
- Effect size
- One tailed vs Two tailed
- Variance
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Why use an ANOVA over multiple T-tests
- Require less work/paperwork
- Multiple t-tests inflate the type 1 error rate
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2 Reasons why correlations cannot be used to imply causation
- We don't know the direction of the cause - Does X cause Y or does Y cause X?
- A third variable "Z" may be involved that is responsible for the covariance between X and Y
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Advantages of non-parametric studies
- 1. Less restrictive assumptions
- 2. Often easier to calculate than parametric tests
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Disadvantages of a non-parametric tests
- 1. Tend to be overly conservative
- 2. No non-parametric tests exist for some research
- designs (e.g. factorial designs)
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Problems with all single subject designs
- Carry-over effects
- Ethical problems
- Order effects
- Irreversibility
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Ethical principleswhen conducting psychological research
- Subjects should agree to participate in research
- Subjects should not be coerced
- Subjects should be fully informed about the purpose of the experiment before deciding to participate
- Subject data should be confidential
- Subjects should be warned of any harmful effects of the study
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Carry over effects
results from the previous phase carry-over into the next phase
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Sensitization effects
Sensitization effects occur when the subject is aware of the manipulations used in a study and such awareness causes him/her to change his/her behavior
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Internal and External validity
- Internal - How well it measures what its supposed to
- External - How well the results can be generalized
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Function of a latin square
To prevent practice effects and counter balance
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Demand Characteristics
- Aspects of a study that indicate to subjects how they are
- expected to respond
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Novelty Effect
Occurs when the DV is affected by the IV, not because of any inherent qualities of the IV but rather because the IV is something new
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