Unit 2 Flashcards

(45 cards)

1
Q

the goal of a study

A

to be unbiased and provide good results

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2
Q

EPSEM

A

equal probability of selection method

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3
Q

household bias

A

when a respondent answers for a group,

over represented individual

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4
Q

stratified random sampling

A

population is divided into groups called the strata

how?
divide population into strata
randomly sample each group in proportion to size (household bias)

why?
can provide more precise results
groups are different but are similar within

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5
Q

types of bias

A

sampling bias
non response bias
household bias
response bias

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6
Q

5 types of causal relationships:

A

cause and effect-one changes, effects other

common cause factor-external factor effects both

reverse cause and effect- opposite independent and dependent variables

accidental relationships- not effecting each other only coincidence

presumed relationship- correlation seems to exist but difficult to identify a common factor

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7
Q

what are the two types of data sources?

A

primary- collected by person doing analysis

and secondary- collected by an outside source

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8
Q

index

A

number that provides a measure of scale to compare data

ex. Rictor scale measures earthquakes

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9
Q

in a survey you should…

A

avoid the truth

uphold a high standard for your work

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10
Q

what is bias?

A

an unintended influence on a. data gathering method

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11
Q

what is a thesis?

A

the focus of your project that declares what you believe and are proving

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12
Q

other sampling methods

A

destructive sampling-samples destroyed in the process

voluntary response sample-people invited to participate, often skewed results because only some respond, not random

convenience samples- not random, pick random people off the street

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13
Q

what is sampling bias?

A

when the chosen sample does not accurately represent the population

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14
Q

inference

A

a conclusion on the population based on sample data

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15
Q

quantitative data

A

variables measured numerically

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16
Q

what should you not do in a thesis?

A

avoid vague language

not first person

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17
Q

in Excel what does the dollar sign mean?

A

absolute or fixed

complete the same operation by the same number each time

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18
Q

if statement in Excel completes the action:

A

if one is greater than a certain value a ___ will be shown if it is less a ____ is shown

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19
Q

Hawthorne effect

A

people behave differently when being watched

20
Q

correlation

A

the apparent relationship between two variables

positive/negative, strong/weak

21
Q

placebo effect

A

an inactive drug is administered to a subject who exhibits a positive reaction to the drug

22
Q

what makes a good thesis?

A

be specific and focused,

should propose an arguable point

23
Q

simple random sampling

A

all selections and combinations are equally likely
deviations due to chance

how?
generate random numbers
assign the numbers to all elements in population
pull numbers at random and choose those elements

why?
easy to understand
theoretical fairness

24
Q

census

A

a collection of data taken from the entire population

25
what are the 3 questions asked before a survey is taken?
what is the population? what should the sample size be? how are the individuals chosen for the sample?
26
population
a group of individuals that is the focus of the study
27
qualitative data
variables not easily measured with numbers | ex feelings
28
sample
a selection of the population used for the study
29
cross-sectional study
a study that considers individuals from different groups at the same time
30
relative in Excel is represented by a
*
31
discrete data
data that can be described using whole numbers as a result of a count ex number of cars
32
larger sample=
better likelihood of having a good sample
33
good questions are
simple relevant specific readable
34
continuous data
data measurable with real numbers, always changing ex weight, age
35
response bias
factors in the sampling method that influence the result | leading response questions
36
longitudinal study
a study that observes individuals over a long period of time
37
what are the different random methods of choosing a sample?
``` simple random sampling systematic random sampling stratified random sampling cluster random sampling multi-stage random sampling ```
38
avoid _______ in survey questions
``` jargon- slang abbreviations negatives leading respondents (answer hinted in question) insensitivity ```
39
survey question styles
open questions- answered in respondents own words closed question- response selected from a given list information question- typically in header, asks about person taking survey checklist question- "check all that apply" ranking question - rank importance from 1-5 rating questions- rating but given answers are provided "how satisfied are you"
40
cluster random sampling
how? population organized into groups randomly pick groups survey all members of chosen groups why? cheaper and easier successful only if clusters represent different groups
41
systematic random sampling
pushed when sampling a fixed percentage of the population ``` population size divided by sample size to find (n) ``` how? begins at random starting point and every nth is chosen why? easier to administer than simple if there is a cycle select n carefully
42
what is non response bias?
surveys are not returned thus influencing the result
43
time series data
data collected over a long period of time (in a longitudinal study)
44
data
almost anything aka statistic or a body or a series of facts gathered information
45
multi-stage random sampling
how? population is divided into groups randomly select groups randomly sample members of those groups why? even cheaper and easier than cluster random sampling