Chapter 2: Research Methodology Flashcards

1
Q

Five pillars of Psychology

A

biological, cognitive, developmental, social and personality, mental and physical health

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2
Q

what are the three goals of doing scientific research

A

description, explanation, predicting

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3
Q

operational definition

A

a standardized meaning for an abstract concept

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4
Q

why is the operational definition necessary

A

it makes sure that different researchers are talking about the same thing (measuring the same thing)

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5
Q

how did Bandura, Ross, and Ross (1961) measure aggression in children

A

by the number of times a child punched or hit a Bobo doll

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6
Q

social scientists are the only one’s who use operational definitions

A

false (natural scientists also operationalize their objects)

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7
Q

how do natural scientists use operational definitions

A

properties of an object can only be defined by thinking of an experiment that can measure them

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8
Q

when the bell is paired with food an animal will salivate to the bell after 10 trials is an example of

A

classical conditioning

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9
Q

operant conditioning and classical conditioning are under the branch of

A

behaviourism

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10
Q

workers will be more productive if they get a bonus after producing every 10 pieces of work is an example of

A

operant conditioning

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11
Q

explain a theory

A

an explanation or model of how a phenomenon works (explanation based on observation)

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12
Q

theory, hypothesis, research (in order t or f)

A

true

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13
Q

what are the two types of theory explanations

A

mechanistic explanation = how
functional explanation = why
or both

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14
Q

what is the role of a theory

A

to integrate unrelated facts and principles into a coherent whole

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15
Q

what are the 7 steps in scientific investigation

A
  1. pose a specific, testable research question
  2. educate yourself about what is already known about your theory
  3. formulate a testable hypothesis
  4. design a study select a research method
  5. conduct the study and collect the data
  6. analyze the data
  7. report the findings
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16
Q

whats the difference between a hypothesis and a theory

A

theory describes a general phenomenon whereas a hypothesis predicts a specific observation in a specific study

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17
Q

the hypothesis is a tentative statement because

A

the data might or might not support it

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18
Q

what are the three types of research methods

A

descriptive methods- describe what is occurring (observational studies, self reports, case studies)
correlational methods- test the relationship between factors
experimental methods - investigate what causes an outcome

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19
Q

what are the two major concepts when evaluating measures

A

reliability- does your instrument give you the same reading every time you use it to measure the same thing
validity - are you measuring what you intend to measure (how do you know)

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20
Q

reliability

A

consistency or dependability of behavioural data. reliable result will be repeated under similar conditions of testing at different times

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20
Q

what are the two types of reliability errors

A

random and systematic

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21
Q

random errors from an unreliable instrument (of inflation and deflation) will

A

balance themselves and sum to zero

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22
Q

the instrument is reliable but inaccurate

A

systematic error, which is either positive or negative direction consistently (bias the overall measurement)

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23
Q

do random errors affect the average

A

no, only the variability around the average (spreads the distribution out)

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24
do systematic errors affect the average
yes, it shifts the central tendency of distribution (bias)
25
an accurate or precise measure produces results that
agree with a known standard
25
can an instrument be inaccurate but reliable
yes
26
construct validity
refers to the extent to which a measure of X truly measures X and not Y
27
internal validity
an experiment with a high internal validity means that the change in the dependent variable is caused by the independent variable and not by the cofounding variables
28
external validity
an experiment with high external validity means that the researcher can generalize the experimental findings to broader circumstances often from the lab to the real world
29
observations made in a study of usually converted into numbers
true
30
types of descriptive research
- developmental studies (longitudinal, cross-sectional) - case study - correlational - normative - observational - action - ex post facto - survey
31
what is a case study
the intensive observation, recording and description of an atypical person, organization or event
32
correlational studies are used when
the researcher wants to determine to what extent two variables, traits, or attributes are related
33
in a correlational study does the researcher control any variables?
no
34
describe a positive correlation
diagonal going up to top right corner
35
describe a negative correlation
top to bottom diagonal
36
describe an almost (no relation)
horizontal linear line (points scattered)
37
correlation coefficient aka Pearson's R indicates what
the strength of the correlation
38
what is the range of Pearson's R, how does the scale work (what does it mean)
-1 to 1. -1 is a perfect negative correlation while 1 is a perfect positive correlation (between x and y). 0 means no correlation
39
when a correlation is perfect the prediction is how accurate
100% accurate
40
explain what strength each R-value indicate
1= perfect 0.8 to 0.99= very strong 0.6 to 0.8= strong 0.4 to 0.6 moderate 0.2 to 0.4 weak 0 to 0.2= very weak
41
what is the boiler plate for explaining the observed relationship
as x (increases/decreases), y (increases r decreases) showing a (positive/negative) relationship
42
when there are three potential explanations for a phenomena how do you find out which one is correct?
do an experiment - manipulate the independent variable - keep the third variable (also called the extraneous variable or confounding variable) at a constant level - measure the dependent variable (Y)
43
which is the variable that is measured in a study
dependent
44
explain within-subject design
uses a before-after - also called repeated measures design - uses a study within one group - random sample
45
explain a between-subjects design
two random sample design - large sample size - random assignment of participants to experimental and control groups
46
what is the experimental method
casual relationship - investigate what causes an outcome -Investigate the CAUSE
47
in a drug test the control group is called
the placebo group
48
if the source of the confound is from some environmental factors that systematically change from one group to another (or one time to another) then it cannot be eliminated with a large sample size and random assignment. what is the solution
using a mixed design
49
does correlation imply causation
No
50
correlational studies examine...
how variables are naturally related in the real world
51
do correlational studies determine causal relationships
no
52
correlational studies are used to explain the cause of behaviour (t or f)
false
53
experimental studies goals
description, explanation and prediction
54
experimental studies can make causal claims (t or f)
true
55
what is error variance
variation within a group
56
is it easier or more difficult to observe an experiment when their is a large error variance between groups
more difficult
57
how do you conclude results when there is high error variance between groups
sampling and inferencing (draw a sample from the population) measure some attributes in the sample, generalize and describe to the target population
58
in what case would generalization to the population be inaccurate
when the sample is biased
59
what follows under descriptive statistics
measures of central tendency (mean median mode), measures of dispersion (range, standard deviation)
60
structure of an academic article
literature review method participants materials procedure results (graph and verbal) discussion (evaluation of the study)
61
descriptive statistics allows us to draw conclusions through the use of
graphs
62
inferential statistics are a useful tool because
they help us say whether a difference is significant
63
when standard deviation error bars on a graph overlap quite a bit (close in height) it is a clue that
the difference is not statistically significant (however you must actually perform a test to draw a conclusion)
64
when the standard deviation error bars on a graph overlap even less its a clue that
the difference is probably not statistically significant (however you must perform a test for a real conclusion)
65
when the standard deviation error bars do not overlap on a graph its a clue that
the difference may be significant but you cannot be sure until you perform a test
66
what does the t-test tell us
how significant the difference between two group means
67
the bigger the t ratio indicates
the more significant the test is