Module 2 - Research strategies Flashcards

1
Q

Hypothesis

A

testable prediction regarding the research question

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2
Q

what does it mean to study something empirically

A

using all observable evidence

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3
Q

6 steps of the scientific method

A
  1. form a research question
  2. form a hypothesis
  3. design and conduct a study to examine the hypothesis
  4. Analyze the results of the study
  5. report the findings
  6. replicate the study to confirm and refine the findings
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4
Q

Confirmation bias

A

the tendency to seek and notice evidence supporting what you already believe, while failing to seek or notice counterevidence

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5
Q

what is a variable

A
  • something that can take on different categories or values (age, height, music preference, etc.)
  • can vary over time, between groups, between individuals, etc.
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6
Q

continuous variable (def and examples)

A
  • infinite possible values between any two points on a continuum
  • measurements are measured to a certain level of precision (not exact)
  • ex: height, weight, heart rate
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7
Q

discrete variable (def and examples)

A
  • can be categorical
  • can be quantitative but only allow certain specific values
  • ex: favorite movie, whole numbers, number of people
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8
Q

Construct (def and examples)

A

variable that we can conceptualize but cant measure directly
- happiness, conservatism, intelligence, shyness

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9
Q

what does it mean to operationalize a construct

A
  • use a variable that we can measure that we believe reflects the construct we’re studying
  • operationalization never perfectly captures the construct
    ex:
  • happiness –> “happiness scale”
  • intelligence –> IQ test
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10
Q

Two types of studies

A
  • experiments
  • observational/ descriptive studies
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11
Q

3 variables of experiments

A
  1. independent variable
    - variable manipulated by the experimenter (ex: type of drug)
  2. dependent variable
    - outcome that is measured
  3. confounding variable
    - another variable that varies throughout groups that you aren’t measuring
    - avoid by random assignment
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12
Q

random assignment

A
  • assigning participants to groups purely at random, so only the systemic difference between groups is the IV
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13
Q

observational studies (def and 3 types)

A

researcher doesn’t manipulate anything
1. Naturalistic observation
- observing subjects in their natural state without interfering
2. Correlational study
- measure two variables to see if they are related
- positive vs negative correlations
3. Case study
- study one or a few unique individuals

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14
Q

population vs sample

A
  • population - everyone the research question is about
  • sample - small subset of the population that we actually observe in our study
  • ideally random and unbiased, so it truly representative of the population as a whole
  • many studies use convenience samples
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15
Q
A
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