DATA COLLECTION METHODS The Scientific Method Four main

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DATA COLLECTION METHODS

DATA COLLECTION METHODS

The Scientific Method • Four main steps of scientific investigation: 1. Observe 2. Detect

The Scientific Method • Four main steps of scientific investigation: 1. Observe 2. Detect Regularities 3. Generate Hypothesis (concept, theory) 4. Observe In principle, this cycle never ends. It continues to be updated with new information 2

Operationalizing a concept • • • To study a concept scientifically, we need to

Operationalizing a concept • • • To study a concept scientifically, we need to convert it into a variable That is, a score or a category we need an operational definition to make a concept into a variable 3

Examples • e. g. operationalize ‘intelligence’ by assigning numbers: – – – • A.

Examples • e. g. operationalize ‘intelligence’ by assigning numbers: – – – • A. an IQ test B. talking speed C. score on general knowledge test e. g. operationalize shyness with a rating scale: I am shy person • 1 (never) 2 (sometimes) 3(usually) 4(always) 4

Techniques 1. Naturalistic Observation 2. Case Studies 3. Surveys 4. Psychological tests 5

Techniques 1. Naturalistic Observation 2. Case Studies 3. Surveys 4. Psychological tests 5

1. Naturalistic Observation • recording behavior as it occurs naturally – Example: observe children

1. Naturalistic Observation • recording behavior as it occurs naturally – Example: observe children playing at a daycare centre • Limitation • reactivity • Reduce it by: – Participant observation: blending into the group – Unobtrusive recording 6

Two examples 7

Two examples 7

2. Case Studies • details about a single case • the source of (many

2. Case Studies • details about a single case • the source of (many of) Freud’s ideas • Limitation: – representativeness: can we generalize from this one individual to human beings ? 8

3. Surveys • e. g. , marketing research or political polls • small amount

3. Surveys • e. g. , marketing research or political polls • small amount of information from many people – By telephone, interview, – on-line • Limitation: – Need a representative sample of participants (volunteers) – Are respondents being truthful? 9

4. Psychological Tests • mainly designed to measure individual differences • 1. Achievement tests:

4. Psychological Tests • mainly designed to measure individual differences • 1. Achievement tests: Measure knowledge of a topic • 2. Aptitude tests: Measure potential for success in a subject or profession • 3. Intelligence tests: general aptitude • 4. Personality tests: daily behavior Limitation: takes time to create 10

EXPERIMENTS

EXPERIMENTS

Correlation vs. causation Even a strong correlation does not guarantee causation Allows prediction, but

Correlation vs. causation Even a strong correlation does not guarantee causation Allows prediction, but not control Could be a third variable at work A common link that could explain the correlation If so, we call the original correlation a 12 spurious correlation It may be a fact --but it’s not causal

 Examples: Correlation between: (a) Amount a child watches violent television and (b) a

Examples: Correlation between: (a) Amount a child watches violent television and (b) a child’s aggression as a teenager A third variable may cause both (a) and (b): Parenting style Genetics Poverty 13

Other spurious correlations? Higher grades in the front row Body modification & sexual promiscuity

Other spurious correlations? Higher grades in the front row Body modification & sexual promiscuity Smoking & lung cancer Tooth-brushing and cavities 14

In an experiment… The researcher actively manipulates (alters) the situation in order to demonstrate

In an experiment… The researcher actively manipulates (alters) the situation in order to demonstrate an effect Example: Deliberately expose children to different films: one group watches violent film One group watches non-violent film Later, observe aggression in each group 15

Traditional terms Independent Variable: The aspect of the environment that is manipulated in an

Traditional terms Independent Variable: The aspect of the environment that is manipulated in an experiment (at least two conditions) Example: Violent show and nonviolent show Dependent Variable: The behavior that is measured in an experiment Example: Amount of aggressive behavior after watching the show 16

Independent Variable 17 Dependent Variable

Independent Variable 17 Dependent Variable

Importance of Control • Experimental and control group must be similar except with regard

Importance of Control • Experimental and control group must be similar except with regard to independent variable. • Everything else must be controlled • Same room, conditions, time of day • Also a Control group 18

Randomization • Random selection from population • Random assignment to conditions 19

Randomization • Random selection from population • Random assignment to conditions 19

Problems & solutions • Participants may guess what the researcher expects to find –

Problems & solutions • Participants may guess what the researcher expects to find – Then, may change behavior to fit expectations • Ways of reducing expectancy effects: – Give placebo to those in the control group – Don’t tell participants which group they are in (single-blind study) – Make sure neither researcher nor participants knows which group is which (double-blind study) 20

Limitation of experiments: too artificial? – Would participants have behaved the same way outside

Limitation of experiments: too artificial? – Would participants have behaved the same way outside of the artificial laboratory situation? • Example: Would children in the television study behave the same way at home or school? – i. e. , Do the results generalize to realworld situations? 21

PROS AND CONS OF METHODS: It’s a trade-off • Methods that permit control tend

PROS AND CONS OF METHODS: It’s a trade-off • Methods that permit control tend to be more artificial • sometimes less ethical • Solution: use multiple methods 22