Week 7 Flashcards

(37 cards)

1
Q

probability sampling

A

random selection
stratified random
cluster sampling

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2
Q

nonprobability sampling

A

convenience and quota sampling

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3
Q

convenience sampling aka

A

haphazard sampling

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4
Q

quota sampling

A

ensuring that the sample is like the population on certain characteristics but uses convenience sampling to obtain the participants

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5
Q

predictive (relational) methods

A

correlational method

quasi experimental method

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6
Q

ecological validity

A

extent to which research can be generalised to real life situation

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7
Q

expectancy effects

A

influence of the researcher’s expectations on the outcome of the study

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8
Q

undisguised observation

A

subjects are aware that the researcher is observing their behaviour

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9
Q

nonparticipant observation

A

studies in which the researcher does not participate in the situation in which the research subjects are involved

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10
Q

participant observation

A

researcher actively participates in the situation in which the research subjects are involved

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11
Q

disguised observation

A

subjects are unaware that the researcher is observing their behaviour

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12
Q

static item

A

type of item on checklist on which attributes that will not change are recorded (gender, race, age)

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13
Q

action item

A

notes the presence or absence of behaviours

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14
Q

archival method

A

a descriptive research method that involves describing data that existed before the time of the study
Problem of reactivity is minimised because the data have already been collected
Less time consuming

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15
Q

standardised interview

A

somewhat formal; questions asked in a specific order

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16
Q

semistandardised interview

A

some structure; wording is flexible’ level of language may be modified; provide further explanation is requested; more flexible

17
Q

unstandardised interview

A

completely unstructured; no set order to the questions not a set wording

18
Q

action research

A

Research is conducted by a group of people to identify a problem, attempt to resolve it and then assess how successful their efforts were

19
Q

action research 3 phases

A

Looking: gather info; identify problem and stakeholders
Thinking: thinking about the problem; gather info to answer the question posed; analyse and interpret the data
Action: action taken to improve the lives of participants

20
Q

double barreled question

A

asks more than one thing

21
Q

response bias in a survey

A

consistently give same answer to almost all the items on a survey; yea-saying or nay-saying

22
Q

dillman’s question arrangement

A

Present related questions in subsets
Sensitive topics at end of subset
Demographic questions at end of survey

23
Q

magnitude

A

indication of the strength of the relationship between two variables
Magnitude or strength of a relationship is determined by the correlation coefficient

24
Q

strong

25
moderate
+/- .3-.69
26
none (0) to weak
+/- .00 to .29
27
Curvilinear relationship
Correlation coefficient of 0 Strong positive relationship depicted in the left half of the graph essentially cancels out the strong negative relationship in the right half of the graph
28
partial correlation
a correlation technique that involves measuring three variables and then statistically removing the effect of the third variable form the correlation of the remaining two variables
29
person-who argument
arguing that a well-established statistical trend is invalid because we know a ‘person who’ went against the trend
30
law of large numbers
a large sample will be more representative than a small sample
31
good sample size
25-30 individuals for each group or treatment condition
32
predictor variable
the first variable
33
criterion variable
second variable (Being explained or predicted)
34
intermedial relationship
linear relationship but more variability of x and y from line of best fit
35
correlation coefficient describes
direction, form, consistency of strength (r)
36
mediating variable
increasing impact of predictor variable on criterion variable
37
moderating variable
explaining the relationship between the two variables