Overview of Research Methods

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27 Terms

1

Experiment

Manipulation of an IV (Independent Variable) under controlled conditions and measurements of its effects on a DV (Dependent Variable)

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2

Strengths of Experiments

Est. cause & effect relationships b/w IV & DV

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3

Weaknesses of Experiments

Can be limited in its ability to generalize

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4

Naturalistic Observation

Careful judgements of humans/animals in real life situations

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5

Strengths of Naturalistic Observation

Provides descriptive data abt behavior w/ wide applicability

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6

Weaknesses of Naturalistic Observation

Loss of experimental control

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7

Longitudinal Study

Observational study in which a group of similar participants are observed over a long period of time

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8

Strengths of Longitudinal Study

Enables to see how individuals change overtime

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9

Weaknesses of Longitudinal Study

Time-consuming, expensive, potential loss of subjects

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10

Cross Section Study

Observational study in which researchers compare/contrast people of different age at a given time

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11

Strengths of Cross Section Study

Less time-consuming

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12

Weaknesses of Cross Sectional Study

Differences b/w members can’t be necessarily be attributed to age

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13

Case Studies

Intensive investigation of the behaviors & mental processes associated w/ a specific person of a situation

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14

Strengths of Case Studies

Provides detailed descriptive data & analyses of rare phenomena

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15

Weaknesses of Case Studies

May not be representative of the phenomena- atypical results/findings

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16

Correlation

Relationship b/w 2 or more variables

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17

Strengths of Correlation

Used to make predictions

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18

Weaknesses of Correlation

Can’t be used to determine cause & effect

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19

How are experimental subjects chosen?

A sample is randomly selected from a population, which its members are randomly assigned to control or treatment groups

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20

Type of Treatment

IV: Diff types of drugs/psych. treatments

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21

Treatment Factors

IV: brief vs. long-term. inpatient vs. outpatient

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22

Experimental Manipulation

IV: Types of beverage consumed (alcoholic vs. non-alcoholic)

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23

Behavioral Variables

DV: Measures of adjustment, activity lvls, eating, smoking

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24

Physiological Variables

DV: Measures of physio. responses such as heart rate, blood pressure, brain wave activity

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25

Self-Report Variables

DV: Measures of anxiety, mood, or marital or life satisfaction

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26

Descriptive Stats

  1. Organize

  2. Summarize

  3. Simplify

  4. Describe & Present data

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27

Inferential States

  1. Generalize samples to pops

  2. Hypothesis testing

  3. Make predictions

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