Chapter 2 Flashcards

1
Q

4 Primary goals

A

Description, Prediction, Control, Explanation

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2
Q

Description

A

What is the problem/phenomenon

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3
Q

Prediction

A

What/When will the phenomenon occur

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4
Q

Control

A

What causes the phenomenon to occur

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5
Q

Explanation

A

Explain why the phenomenon occurs

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6
Q

Critical thinking steps

A

Step 1 - Question information ex) where is the evidence from, is it biased, definitions
Step 2 - Source information ex) Did the author directly tell you, Scientific or conjecture, scholarly journals

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7
Q

Data

A

Measurable outcomes of research studies

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8
Q

Research

A

careful collection of data

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9
Q

Scientific Method

A

step 1 - form a hypothesis, step 2 - conduct a lit review, step 3 - design a study, step 4 - conduct the study, step 5 - analyze the data, step 6 - report findings whether hypothesis is correct or not, step 7 - repeat for replication

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10
Q

Theory

A

Tested explanations or models of how a phenomenon works

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11
Q

Hypothesis

A

A specific, testable prediction, narrower than the theory it is based on

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12
Q

Replication

A

The repetition of a study and getting similar results

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13
Q

A Good theory

A

is falsifiable, simpler, can produce testable hypotheses

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14
Q

Occam’s razor/Law of Parsimony

A

The simpler the explanation is likely the most accurate

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15
Q

Serendipity

A

Unexpected findings that can be applied to alternative scenarios and situations for major breakthroughs if one continues their research

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16
Q

Descriptive study

A

observing behavior to describe it objectively and systematically
case studies, observation and self-report methods
+ describe phenomena, predict
- cannot achieve control, cannot arrive at explanation

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17
Q

Correlational study

A

describe and predict relationships between variables and the real world

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18
Q

Experiments

A

manipulate a variable for group A and leave the variable natural for group B, the dependent variable will then be measured between the groups to establish a causational relationship

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19
Q

Random sampling

A

picking a sample from your population completely at random
-may not meet correct demographic percentages

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20
Q

Random assignment

A

gives each member of demographics an equal chance to be chosen

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21
Q

Convenience sample

A

easiest sample to access for study

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22
Q

Margin of error

A

the percentage that the results from your experiment could be inaccurate, lower margin of error = more reliable results

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23
Q

Participant observation

A

qualitative research method in which the researcher observes members of the group or community being researched and participates with them in their activities

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24
Q

Reactivity

A

a phenomenon that occurs when individuals alter their performance or behavior due to the awareness that they are being observed

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25
Negative Correlation
When one variable increase the other decreases
26
Confound
factors other than the independent variable that may cause a result
27
Operational definition
describes behavior so that it is observable and measurable
28
Descriptive research
methods focus on the who, what, and where, versus the why or how.
29
case study
descriptive research approach to obtain an in-depth analysis of a person, group, or phenomenon
30
Naturalistic Observation
qualitative research method where you record the behaviors of your research subjects in real world settings. avoid interfering in any way
31
experimenter expectancy bias
expectations of the experimenter as to the likely outcome of the experiment acts as a self-fulfilling prophecy, biasing the results in the direction of the expectation (mice maze example)
32
Population
represents the larger population from which a sample is drawn.
33
Directionality problem
problem of knowing whether two variables, X and Y, are statistically related because X causes Y or because Y causes X
34
Culturally sensitive research
integrating cultural beliefs, characteristics, attitudes, values, traditions, experiences, and norms of a target population into research design, implementation, evaluation, and materials
35
Observer bias
any kind of systematic discrepancy from the truth during the process of observing and recording information for a study, for example, in the assessment of medical images, one observer might record an abnormality but another might not, or one might round during calculations and one might not
36
Self-report methods
A self-report is any method which involves asking a participant about their feelings, attitudes, beliefs and so on, may not be truthful but easy and mass effective
37
Zero correlation
The variables do not affect each other
38
Correlational studies
a type of research design that looks at the relationships between two or more variables
39
Positive correlation
When one variable increases or decreases, so does the other
40
Third variable problem
a confounding variable affects both variables to make them seem causally related when they are not (ex. z increases both x and y without one knowing)
41
selection bias
a distortion in a measure of association (such as a risk ratio) due to a sample selection that does not accurately reflect the target population (ex Health studies that recruit participants directly from clinics miss all the cases who don't attend those clinics or seek care during the study)
42
coding
the way information is transformed into a format that can be stored and retrieved from memory
43
Interviews
gain more depth of understanding but still could be unreliable
44
Institutional review boards (IRB's)
an administrative body established to protect the rights and welfare of human research subjects recruited to participate in research activities conducted under the eyes of the institution with which it is affiliated
45
Institutional Animal Care and Use Committee (IACUC)
All use of non-human vertebrate animals for research and teaching purposes must be approved in advance by the ___ (harsher than IRB's usually with rules)
46
Risk/benefit ratio
whether the risk the participant has is worth the reward for science n(has to be determined and approved by IRB)
47
Confidentiality
not sharing private information with public
48
Anonimity
not sharing private information with the researchers
49
Knowledge of research
if the studies require participants to know if they are being observed or not
50
Risks
should be disclosed before research starts
51
Informed consent
must be aware of potential risks before test, if testing with deception then must be have a debrief following the test
52
Access to data
limit amount collected and if confidentiality ensured then participants much more likely to share
53
Construct validity
how well a test measures the concept it was designed to evaluate ex if an intelligence test measures intelligence and not something else (like memory), then we can say this test has construct validity.
54
internal validity
the degree of confidence that the causal relationship being tested is trustworthy and not influenced by other factors or variables
55
external validity
refers to the extent to which results from a study can be applied (generalized) to other situations, groups, or events
56
reliability
consistency of the findings or results of a psychology research study
57
standard deviation
a measure of dispersion or scatter in a data set relative to the data's central mean value
58
accuracy
the degree of agreement between an observation or measurement and the true or actual value
59
descriptive statistics
used to organize or summarize a set of data. Examples include percentages, measures of central tendency (mean, median, mode), measures of dispersion (range, standard deviation, variance), and correlation coefficients
60
scatterplot
used to present relationships between quantitative variables when the variable on the x-axis (typically the independent variable) has a large number of levels
61
central tendency
a statistic that identifies a single value as representative of the entire distribution of data (mean, median, and mode)
62
correlation coefficient
a statistic that is used to estimate the degree of linear relationship between two variables
63
inferential statistics
The process of using a random sample to draw conclusions about a population is called statistical inference. If we do not have a random sample, then sampling bias can invalidate our statistical results
64
meta analysis
the statistical combination of results from two or more separate studies
65
unsystematic errors
Random error has no pattern easier to average out and less problematic
66
systematic errors
an error which, in the course of a number of measurements carried out under the same conditions of a given value and quantity, either remains constant in absolute value and sign, or varies according to definite law with changing conditions