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CHAPTER 2: PSYCHOLOGICAL RESEARCH METHODS AND STATISTICS
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SAMPLES Def: a relatively small group out of the total population
Must be representative 2 ways to “ensure”: Random sample Stratified sample: subgroups in pop. are represented proportionately
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METHODS OF RESEARCH
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NATURALISTIC OBSERVATION
Def: psychologist observes subjects in their natural setting without interfering
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CASE STUDIES Def: an intensive investigation of one or more participants Does not prove or disprove Can not be generalized Used to generate hypotheses
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SURVEYS Def: info is obtained by asking many individuals a fixed set of questions Interviews, questionnaires
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LONGITUDINAL STUDIES Def: data is collected about a group of participants over a number of years to assess how certain characteristics change or remain the same during development Time consuming Too many variables
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CROSS-SECTIONAL STUDIES
Def: data is collected from groups of participants of different ages and compared so conclusions can be drawn about differences due to age
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CORRELATION Def: the measure of a relationship between 2 variables or set of data Does NOT show cause Positive correlation: variables move in same direction Negative correlation: variables move in opposing directions
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EXPERIMENTS Enables researcher to control the situation
Hypothesis: educated guess Variable: any factor capable of change (independent, dependent) Experimental and control group Results must be replicated to be accepted
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ETHICS Def: methods of conduct; standards for proper and responsible behavior Animal testing is the main concern today
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SECTION 2: PROBLEMS AND SOLUTIONS IN RESEARCH
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SELF-FULFILLING PROPHECY
Def: when a researcher’s expectations influence their behavior and thereby influence the participant’s behavior Any conscious/unconscious cue could change results
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AVOIDING SELF-FULFILLING PROPHECY
Single-blind experiment: participants are unaware of which participants received treatment Double-blind experiment: neither experimenter nor participants know who received treatment
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PLACEBO EFFECT Def: a change in a participant’s illness or behavior that results from a belief that the treatment will have an effect, rather than the actual treatment
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SECTION 3: STATISTICAL EVALUATION
Statistics can lie. In order to avoid that, you must collect meaningful data and evaluate it correctly
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STATISTICS Def: branch of math concerned with summarizing and making meaningful inferences from collections of data
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DESCRIPTIVE STATISTICS
Def: the listing and summarizing of data in a practical and efficient way
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DISTRIBUTIONS OF DATA Frequency distribution: arrangement of data that indicates how often a particular score or observation occurs Histogram: graphical representation showing a visual impression of the distribution of data
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DISTRIBUTIONS CONTINUED
Frequency polygon/curve: line graph; can show more than one set of data Normal curve: graph shaped like a symmetrical, bell- shaped curve; shows normal distribution
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MEASURES OF CENTRAL TENDENCY
Central tendency: a number that describes something about the average score of distribution Mean: average; most used measure Median: middle score Mode: most frequent score Bimodal: distributions with 2 modes
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MEASURES OF VARIANCE Variance: measure of difference, or spread Range
Standard of deviation: describes an average distance of every score from the mean; most widely used measure of variance
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CORRELATION COEFFICIENTS
Def: describes the direction and strength of the relationship between 2 sets of variables Take a value between and 1 Scatterplot: graph of scores representing the direction of the relationship
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INFERENTIAL STATISTICS
Def: numerical methods used to determine whether research data support a hypothesis or whether results were due to chance
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STATISTICAL SIGNIFICANCE
When probability of a result is 1-5% it is said to be statistically significant Represented as “p” value Tells us likelihood
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