Chapter 2 Scientific Methods Flashcards

(47 cards)

1
Q

Data Collection Process

A

hypothesis, method, results, interpretation, replicability

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2
Q

Triangulation

A

examining converging information from different sources (qualitative and quantitative research)

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3
Q

hypothesis

A

a clear predictive statement; a simple language, testable, if/then

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4
Q

Method

A

how a researcher tests their hypothesis, data collection; qualitative (narrative description), quantitative (numerical values)

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5
Q

Results

A

Information collected by the researcher in an attempt to resolve their hypothesis

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6
Q

Interpretation

A

the “discussion” section of a research paper, where author’s unpack the meaning behind the results

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7
Q

Replicability

A

results should be the same if you recreate the procedures. If it is not replicable results happened by chance or errors were made

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8
Q

Meta-Analyses

A

avoids the issue of replicability

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9
Q

Falsifiable

A

state in such clear, precise terms that we can see what evidence would count against it

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10
Q

Burden of Proof

A

Obligation to present evidence to support one’s claim

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11
Q

Population

A

group you want to know about

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12
Q

Convenience Sample

A

Taken from some available subgroup in the population; not random and therefore may be biased

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13
Q

Representative Sample

A

one that resembles the population

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14
Q

Random Sample

A

taken at random from the population

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15
Q

Cross-Cultural Sample

A

2+ cultures

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16
Q

Operational Definitions

A

specific procedure for manipulating or measuring a conceptual variable (ex: IQ)

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17
Q

Conceptual Variable

A

abstract and general, researcher “thinks up” or conceptualizes this variable. (what the researcher truly wants to measure) ex: intelligence

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18
Q

Types of Observational Research

A

Naturalistic Observations, Correlational Studies, Case Histories, Surveys

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19
Q

Observational Research

A

Does not always involve literal observations however the goal is to describe people and their thoughts, feelings, and behaviors (descriptive research)

20
Q

Naturalistic Observations

A

Entails monitoring and describing subject’s behavior without intervening

21
Q

Interrater Reliability

A

degree to which multiple observers agree on their observations

22
Q

Correlational Studies

A

goal is to determine relations between the variables such as how similar or distinct are 2 variables or how well does one variable predict another variable

23
Q

Correlation Coefficient

A

statistic or measure of association, reflects magnitude (numerical value) and direction (positive or negative) of relationship between 2 variables

24
Q

Case Histories

A

a thorough description of someone including: abilities/disabilities, medical condition, life history, unusual experiences, whatever else seems relevant (also called case studies)
think of phineas gage

25
Surveys
involves people asking about their attitudes, beliefs, or behaviors
26
Social Desirability Bias
when people present themselves in a generally favorable fashion
27
Experiment
Research that randomly assigns people to different conditions, thus enabling researchers to make strong inferences about how different conditions affect behavior
28
Independent Variable
variable that is manipulated, hypothesized to cause an outcome
29
Subject Variable
variable that represents a pre-existing difference between participants
30
Dependent Variable
variable that is measured, hypothesized to be affected by an independent variable
31
Random Assignment
assigning research participants to different groups randomly
32
Control Condition
condition comparable to the experimental condition in every way except for that it lacks the one "ingredient" hypothesized to produce the expected effect on the dependant variable
33
Types of Experiments
Experiments in the Lab, Experiments in the Field, Quasi Experiments, Natural Experiments
34
Experiments in the Lab
conducted in settings in which environment can be controlled, participants can be carefully studied, control groups allow us to draw casual inferences with a good degree of certainty however can the casual inferences made from studying people in a laboratory be generalized in the real.
35
Experiments in the Field
an experiment set up in the real world, often with participants who are not aware that they are in a study if any kind
36
Natural Experiments
naturally occuring events or phenomena having somewhat different conditions that can be compared with almost as much rigor as in environments where the investigator manipulates the conditions
37
Quasi Experiments
lacks random assignment to treatment or control group
38
Internal Validity
confidence that only the manipulated variable could have produced the results
39
Experimental Expectancy
experiment's expectations about the results of an experiment affect her/his behavior toward a participant and thereby influence the participant's responses
40
Demand Characteristics
Participants form an interpretation of the purpose of the experiment and unconsciously change their behavior to fit that interpretation
41
Statistically Significant
results that chance alone would be unlikely to produce
42
Current Policies and Procedures
Role of Institutional Review Boards (IRBs), Importance of Informed Consent, Necessity for debriefing.
43
External Validity
Experimental setup closely resembles real-life situations so that results can safely be generalized to such situations but laboratory experiments often tradeoff an increase in internal validity for a decrease in external validity
44
45
Self-Report
Involves asking people about their attitudes, beliefs, or behaviors but they are not always accurate and may be misleading.
46
Parsimony /Occam's Razor
Stay open-minded, but don't waste time on ideas that have no evidentiary support.
47
Ganzfeld Procedure
Bem and Honorton (1994) found support and 14 other studies failed to find support (Milton & Wiseman, 1999) in Esp experiments. Lacks in both parsimony and replicability.