CHAPTER 2: TYPES OF STUDIES Flashcards

(49 cards)

1
Q

One of the most
common methods is through the use of

A

surveys.

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2
Q

can be collected in a variety of ways.

A

Data

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3
Q

Three of the most common methods of survey

A

telephone survey

mailed questionnaire

personal interview

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4
Q

4 examples of research sampling

A

sampling of individuals
sample of institutions
sampling of communities
sampling of non-human populations

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5
Q

3 reasons for sampling

A

measuring or testing something
not all units in the population can be identified
limitations of resources

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6
Q

5 advantages of sampling

A
  • cheaper
  • faster
  • better quality of information
  • more comprehensive data
  • only possible method when teh procedure is destructive
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7
Q

4 considerations for sampling

A
  • objectives of the research
  • nature of the problem to be investigated
  • time constraints
  • availability of financial resources
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8
Q

4 Basic methods of sampling:

A

random

systematic

stratified

cluster

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9
Q

is a sample in which all members of the
population have an equal chance of being selected.

A

random sample

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10
Q

is a sample obtained by selecting every kth
member of the population where k is a counting number.

A

systematic sample

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11
Q

is a sample obtained by dividing the
population into subgroups or strata according to some characteristic relevant to the study.

A

stratified sample

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12
Q

(There can be several
subgroups.)

A

stratified sample

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13
Q

Then subjects are selected from each subgroup.

A

stratified sample

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14
Q

is obtained by dividing the population into
sections or clusters and then selecting one or more clusters and
using all members in the cluster(s) as the members of the
sample.

A

cluster sample

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15
Q

the researcher uses subjects who are
convenient.

A

Convenience sample

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16
Q

the respondents decide for themselves if they wish to be included in the sample.

A

Volunteer sample or self-selected sample

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17
Q

also known as judgement sampling,

A

Purposive sampling

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18
Q

involves the researcher using their expertise to select a sample that is most useful to the purposes of the research.

A

Purposive sampling

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19
Q

if the population is hard to access,
snowball sampling can be used to recruit participants via other participants.

A

Snowball sampling

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20
Q

7 stages of the sampling process

A
  • define the population
  • specify the sampling frame
  • specify the sampling unit
  • select the sampling method
  • determine the sample size
  • specify the sampling plan
  • select the sample
21
Q

is the difference between the results
obtained from a sample and the results obtained from the
population from which the sample was selected.

A

Sampling error

22
Q

occurs when the data are obtained
erroneously or the sample is biased, i.e., nonrepresentative.

A

non sampling error

23
Q

it is when the researcher merely observes
what is happening or what has happened in the past and tries to
draw conclusions based on these observations.

A

observational study

24
Q

three main types of observational studies.

A

cross-sectional study.
retrospective study.
longitudinal study.

25
When all the data are collected at one time, the study is called
cross-sectional study.
26
When the data are collected using records obtained from the past, the study is called a
retrospective study
27
if the data are collected over a period of time, say, past and present, the study is called a
longitudinal study
28
it is when the researcher manipulates one of the variables and tries to determine how the manipulation influences other variables.
experimental study
29
When random assignment is not possible, researchers use
intact groups
30
These types of studies are done quite often in education where already intact groups are available in the form of existing classrooms.
quasi-experimental study.
31
in an experimental study is the one that is being manipulated by the researcher.
independent variable
32
independent variable is also called the
explanatory variable
33
The resultant variable is called the
dependent variable
34
also known as outcome variable, or the response variable
dependent variable
35
is the variable that is studied to see if it has changed significantly because of the manipulation of the independent variable.
dependent/outcome variable
36
3 Experimental studies advantages:
the researcher can decide how to select subjects how to assign them to specific groups control or manipulate the independent variable
37
3 Experimental studies disadvantages:
they may occur in unnatural settings the results might not apply to the natural setting Hawthorne effect
38
it is when the subjects who knew they were participating in an experiment actually changed their behavior in ways that affected the results of the study.
Hawthorne effect
39
is one that influences the dependent or outcome variable but was not separated from the independent variable.
confounding variable
40
were the subjects used in the study respond favorably or show improvement due to the fact that they had been selected for the study. They could also be reacting to clues given unintentionally by the researchers.
Placebo effect
41
2 Factors that can influence statistical experiments
confounding variable Placebo effect
42
To minimize the placebo effect, researchers use what is called
blinding.
43
the subjects do not know whether they are receiving an actual treatment or a placebo.
blinding,
44
Here both the subjects and the researchers are not told which groups are given the placebos.
double blinding
45
name of method to minimize variability when they suspect that there might be a difference between two or more blocks.
blocking
46
When subjects are assigned to groups randomly, and the treatments are assigned randomly, the experiment is said to be a
completely randomized design
47
Here one subject is assigned to a treatment group, and another subject is assigned to a control group. But, before the assignment, subjects are paired according to certain characteristics.
matched-pair design.
48
Here the same experiment is done in another part of the country or in another laboratory.
replication
49
7 The general guidelines for statisctical study
Formulate the purpose of the study. Identify the variables for the study. Define the population. Decide what sampling method you will use to collect the data. Collect the data. Summarize the data and perform any statistical calculations needed. Interpret the results.