Exam 1 Flashcards

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
Q

Theory

A
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
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26
Q

Previous Research

A
– 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?
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27
Q

Theory Constructs

A
  • 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
Q

Theory Hypothesis

A
– 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
Q

Theory Deductive Reasoning

A
– making specific
predictions (hypotheses) based on
more general statements about
behavior (theory)
– Reasoning from general to specific
30
Q

Data – Driven Research

A

1) Created from prior research findings
2) Inductive Reasoning - making general
predictions from more specific
information; this is how theories
ultimately develop

31
Q

Types of Research Questions

A

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?

32
Q

Formulating an Empirical

Question

A

Limitations of Science
Need for operational definitions
Need for converging methods

33
Q

Limitations of Science

A

– 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

34
Q

Need for operational definitions

A
– 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
35
Q

Need for converging methods

A

– study
same concept with different techniques
or operational definitions

36
Q

Operational Definition

A
- 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
Q

Variable

A
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
38
Q

Types of Relationships between

Variables

A

Associative

Causal

39
Q

Associative

A
– 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
Q

Causal

A
– 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
Q

Strength of relationship between variables

A
]–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)
42
Q

– Confounding variables:

A

extraneous variables

43
Q

Types of Research

A
  • Correlational (low control)
  • Quasi-experimental (some control)
  • Experimental (high control)
44
Q
  • Correlational (low control)
A

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
Q
  • Experimental (high control)
A
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
Q

small-n

A

A design experiment conducted with one or a few participants to better understand the behavior of those individuals.

47
Q

confirmation bias

A

Seeking only evidence that supports our beliefs and ignoring evidence that contradicts those beliefs

48
Q

within-subjects

A

design were each participant participates in all levels of the variable

49
Q

testability canon of scientific method

A

explanations of phenomena should be able to be falsified if they are incorrect

50
Q

ratio scale

A

Time measured in minutes

51
Q

construct validity

A

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
Q

survey data collection technique

A

Asking individuals to rate how often each of 20 items related to depression symptoms occurs in their daily lives

53
Q

within-subjects design

A

each participant participates in all levels of the variable.

54
Q

multivalent variable

A

An independent variable that includes three different types of treatments or levels

55
Q

parsimony canon of the scientific method

A

the simplest explanation of a phenomenon is most likely to be correct

56
Q

ordinal scale

A

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
Q

inter-rater reliability

A

A measure of the degree to which different observers rate behaviors in similar ways

58
Q

correlational research design.

A

A researcher who examines the relationship between individuals tooth flossing frequency and the incidence of heart disease in these individuals

59
Q

attrition/mortality

A

When participants choose not to complete a research study

60
Q

testing effects

A

a source of bias when participants are tested more than once in a study and the early testing impacts later testing.

61
Q

nonresponse error

A

If most participants in your sample choose to fully complete the survey you give them, you should have a low level of

62
Q

criterion-related validity

A

A strong, positive relationship between scores on a new survey and scores on a previously validated survey on the same topic

63
Q

operational definition

A

“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
Q

descriptive hypothesis

A

involves making a prediction about the results of a study that describes behavior.

65
Q

face validity

A

on the surface, a study or scale appears to be intuitively valid

66
Q

coverage error

A

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

67
Q

reliability

A

The degree to which the results of a study can be replicated under a similar set of conditions