Exam 1 Flashcards

(67 cards)

1
Q

Intuition

A

Use common sense or what “feels right”. Ex. I’m trying to go someplace I’ve never been, but I don’t know the way. I decide to turn left because it just “feels like” that’s the right way to go.

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2
Q

Deduction

A

Use reasoning and general knowledge. Ex. I want to know which direction I am facing. the sun is setting to my right, and I know the sun sets in the west, so I know that south is the direction I am facing.

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3
Q

Authority

A

Relying on information from professionals or reported
in the media. I want to know what my pancreas does. I know that my pancreas produces hormones important for digestion because that is what my high school biology teacher told me.

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4
Q

Observation

A

Gaining knowledge yourself through your senses. method of gaining knowledge that is most likely to yield accurate information

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5
Q

Determinism

A

every event has a cause

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6
Q

Scientific method

A

prediction,
design experiment, observe results, interpret results,
revise predictions

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7
Q

Scientific Researcher

A

people who

conduct research to acquire knowledge

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8
Q

Scientific Practitioners

A

people who

use scientific knowledge in their work

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9
Q

Determinism 1

A

the idea that every

event has an identifiable cause. Ex. what causes a stone to fall? gravity, erosion. – NOT predestined or predetermined

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10
Q

Empiricism 2

A

knowledge can be gained
through use of one’s senses, direct
observation and experience

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11
Q

Objectivity

A

neutral; impartial

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12
Q

Systematic observation

A

following a

structured plan, set of rules or standard

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13
Q

Control

A

minimize extraneous factors that
may influence behaviors/results
ex. Higher control = better ability to make causal
inferences.

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14
Q

Testability/Falsification 3

A
explanations
of behavior can be tested and falsified
through observation
Testability/Falsification – explanations
of behavior can be tested and falsified
through observation
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15
Q

Skepticism and Rigorous Evaluation 4

A

– Peer Review

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16
Q

Parsimony 5

A

preference for simple
explanations
– Occam’s razor – the simplest explanation
for something is also the most likely

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17
Q

Scientific Approach - Objectives

A

1) Description - classification or grouping
2) Prediction – knowing in advance what
behavior or outcome to expect
– Can have prediction without explanation
3) Explanation (Theory) – defines, explains,
organizes and links together knowledge
about a phenomenon
4) Application – producing an expected result
through specific manipulation of a factor

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18
Q

Applied type of research

A

designed to solve specific
everyday problems
 Ex. What are the best techniques to help
elementary school children learn?

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19
Q

Basic type of research

A
designed to determine
fundamental processes of behavior
(how or why things work as they do)
 Ex. How is information lost from memory?
 Ex. How does the visual system work?
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20
Q

Translational

A

– use of lessons from
basic research in applied settings Ex. Using lessons about the biochemistry of cell
membranes to develop a new drug for
schizophrenia

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21
Q

Laboratory

A

allows for greater control Ex.Better able to make causal inferences

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22
Q

Field

A

Less control but more natural

setting

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23
Q

3 ways developing ideas

A

observation
Theory
Previous Research

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24
Q

Observations

A

paying attention to the
world around you
– Serendipity – discovering something while
looking for something else

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25
Theory
``` Theory – making a prediction based on an organized set of principles that attempt to explain behavior; deductive reasoning – Ex. Theory that depth perception is innate, drives predictions about the behavior of infants Constructs Hypothesis Deductive Reasoning ```
26
Previous Research
``` – prior research may lead to interesting questions; inductive reasoning – Often researchers conduct a series of studies to investigate a topic Ex. Program of research – Replication is key – if someone else repeats the same study will they get the same results? ```
27
Theory Constructs
- hypothetical factors that cannot be directly observed – Inferred from observing specific behaviors or responses on specific measures – Ex. Aggression is a construct; we infer it occurs through observation of specific behaviors such as physical confrontations, angry verbal outbursts, etc.
28
Theory Hypothesis
``` – Prediction about the specific outcome of a study – Educated guess – Can be deduced from a theory – When supported it provides support (NOT proof) for the theory – When not supported may mean either theory is incorrect or that there is a problem with the study ```
29
Theory Deductive Reasoning
``` – making specific predictions (hypotheses) based on more general statements about behavior (theory) – Reasoning from general to specific ```
30
Data – Driven Research
1) Created from prior research findings 2) Inductive Reasoning - making general predictions from more specific information; this is how theories ultimately develop
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Types of Research Questions
1) Descriptive – describes behaviors or the relation between behaviors – Ex. Are high fit individuals also high in conscientiousness? 2) Causal – tries to understand the cause of some specific behavior – Ex. Does completing a fitness intervention lead to reduced anxiety in college students compared to no intervention?
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Formulating an Empirical | Question
Limitations of Science Need for operational definitions Need for converging methods
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Limitations of Science
– Has to be applied to phenomenon that can be studied empirically (observed with the senses) – Ex. Can’t answer whether there is a God – Ex. Can answer whether religious beliefs are linked to health status
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Need for operational definitions
``` – defining an abstract concept by the set of operations used to measure that concept – Ex. Aggression assessed via # verbal outbursts over the past month – Allows for replication ```
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Need for converging methods
– study same concept with different techniques or operational definitions
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Operational Definition
``` - definition of an abstract concept (e.g. depression, memory ability) for the purpose of measurement or manipulation of the concept and data collection – Ex. Aggression = # verbal outbursts ```
37
Variable
``` a characteristic that can take on more than one value –Ex. Gender; Age; Aggression Science explores relationship between variables Knowing relationship between variables allows us to: –Describe, predict and control behavior ```
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Types of Relationships between | Variables
Associative | Causal
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Associative
``` – Variables are related but one variable does not cause the other –Ex. Ice cream sales and violent crime rates increase at similar times of the year –Correlation is a way to measure an association ```
40
Causal
``` – one variable causes a change in another variable  Knowing causal relations is most helpful for goals of science – Prediction, description, explanation, application  Causal relations = harder to establish than association  Use control to establish causal relationships ```
41
Strength of relationship between variables
``` ]–Strong – as one variable changes the other changes proportionally (rare in psychology) Ex. With each +1 in heat, you get +1 in aggression –Weak – as one variable changes the other variable tends to change Ex. With each +1 in heat, aggression changes only a little (e.g. + 0.10) ```
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– Confounding variables:
extraneous variables
43
Types of Research
- Correlational (low control) - Quasi-experimental (some control) - Experimental (high control)
44
- Correlational (low control)
Examines relationship between variables -not manipulated -Sometimes used to predict (Predictor variable, Outcome variable ) – Can be applied to any variables Disadvantages – Cannot establish causal relations between variables – Third variable problem extraneous factors – Directionality problem
45
- Experimental (high control)
``` Manipulate 1+ variables, hold other variables constant, observe effect of the manipulation on the variable(s) of interest - Control - Systematic-observe effects after exercising control observation -IV DV -multiple levels -randomization is key -control allows casual influence -directionial ```
46
small-n
A design experiment conducted with one or a few participants to better understand the behavior of those individuals.
47
confirmation bias
Seeking only evidence that supports our beliefs and ignoring evidence that contradicts those beliefs
48
within-subjects
design were each participant participates in all levels of the variable
49
testability canon of scientific method
explanations of phenomena should be able to be falsified if they are incorrect
50
ratio scale
Time measured in minutes
51
construct validity
indicates that a survey measures the behavior it is designed to measure. "Suppose a psychologist developed a test to measure intelligence, but this test was poorly developed and really only measured how well people perform on standardized tests (in other words, it doesn t actually measure intelligence). This test would lack ______."
52
survey data collection technique
Asking individuals to rate how often each of 20 items related to depression symptoms occurs in their daily lives
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within-subjects design
each participant participates in all levels of the variable.
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multivalent variable
An independent variable that includes three different types of treatments or levels
55
parsimony canon of the scientific method
the simplest explanation of a phenomenon is most likely to be correct
56
ordinal scale
People in a grocery store are asked to sample three types of energy drinks and then indicate which one they liked best and which they liked least (i.e., they rank ordered the drinks).
57
inter-rater reliability
A measure of the degree to which different observers rate behaviors in similar ways
58
correlational research design.
A researcher who examines the relationship between individuals tooth flossing frequency and the incidence of heart disease in these individuals
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attrition/mortality
When participants choose not to complete a research study
60
testing effects
a source of bias when participants are tested more than once in a study and the early testing impacts later testing.
61
nonresponse error
If most participants in your sample choose to fully complete the survey you give them, you should have a low level of
62
criterion-related validity
A strong, positive relationship between scores on a new survey and scores on a previously validated survey on the same topic
63
operational definition
"Imagine that you are interested in studying memory ability in elementary school students. In order to assess memory ability you measure how many words students remember from a list of 20 words they initially studied. In this instance, number of words remembered serves as
64
descriptive hypothesis
involves making a prediction about the results of a study that describes behavior.
65
face validity
on the surface, a study or scale appears to be intuitively valid
66
coverage error
A researcher was interested in how exercise impacts UTEP college students mental health. She created a survey to gather people s information and went to the Union on the UTEP campus on a Monday afternoon and asked passersby to volunteer to take the survey. At the end of the day, 120 volunteers completed surveys, 100 of which were filled out by men and 20 that were filled out by women. She realized that this sample did not adequately represent the population of UTEP students and her survey procedure has led to
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reliability
The degree to which the results of a study can be replicated under a similar set of conditions