Pre-Finals Flashcards

(35 cards)

1
Q

raw information or facts that become useful information when organized in a meaningful way

A

Data

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2
Q

Is concerned with “looking after” and processing data

A

Data Management

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3
Q

Importance of Data Management

A
  • Ensures that data for analysis are of high quality
  • Good data management allows further use of the data in the future and enables efficient integration of results with other studies.
  • Good data management leads to improved processing efficiency, improved data quality, and improved meaningfulness of the data.
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4
Q

this is the procedure of systematically acquiring and recording information about all members of a given population

A

Census

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5
Q

Researchers rarely survey the entire population for two (2) reasons _______________

A

Cost is too high
Population is dynamic

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6
Q

Is a selection of a subset within a population

A

Sample Survey

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7
Q

Three main advantages of sampling

A

Cost is lower
Data collection is faster
Improve the accuracy and quality
of the data.

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8
Q

performed when there are some controlled variables

A

Experiment

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9
Q

main requirements to experiments?

A

Possibility of Replication

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10
Q

appropriate when there are no controlled variables and replication is impossible

A

Observation Study

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11
Q

Ex: explores the correlation
between smoking and lung cancer.

A

Observation Study

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12
Q

Characteristics of a well-designed and well-conducted survey

A
  • Good survey must be representative of the population
  • Always incorporates a chance, such as a random number generator
  • Wording of the question must be neutral
  • Possible sources of errors and biases should be controlled
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13
Q

sampling method where some elements of the population have no chance of selection

A

Non-Probability Sampling

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14
Q

Ex: customers in a supermarket are asked questions

A

Convenience sampling

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15
Q

judgment is used to select the subjects based on specified proportions

A

Quota sampling

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16
Q

Ex: interviewer may be told to sample 200 females and 300 males between the age of 45 and 60.

A

Quota sampling

17
Q

All samples of a given size have an equal probability of being
selected and selections are independent.

A

Simple Random Sampling

18
Q

Dividing the target population into strata (subpopulations) of equal size and then selecting randomly one element from the first stratum and corresponding elements from all other strata

A

Systematic Sampling

19
Q

when the population embraces a number of distinct categories, the frame can be organized by these categories into separate “strata”

A

Stratified sampling

20
Q

A stratified sampling approach is most effective when three conditions are met:

A

a. Variability within strata are minimized
b. Variability between strata are maximized
c. The variables upon which the population is stratified are strongly correlated with the desired
dependent variable.

21
Q

(e.g. by selecting respondents from certain areas only, or certain time-periods only). Is an example
of two-stage random sampling

A

Cluster sampling

22
Q

(2) samples in which the members are clearly paired, or are matched explicitly by the researcher

A

Matched Random Sampling

23
Q

Characteristics of a well-designed and well-conducted experiment

A
  • Stating the purpose of research
  • Design of experiments
  • Examining the data set in secondary analyses
  • Documenting and presenting the results of the study
24
Q

an extraneous variable in a statistical model that correlates
(positively or negatively) with both the dependent variable and the independent variable.

25
Example: Consider the statistical relationship between ice cream sales and drowning deaths. These two (2) variables have a positive correlation because both occur more often during summer.
Confounding
26
is a technique used to make the subjects “blind” to which treatment is being given.
Blinding
27
an imitation pill identical to the actual treatment pill, but without the treatment ingredients
Placebo
28
Is a sham (or simulated) effect when medical intervention has no direct health impact but results in actual improvement of a medical condition because the patients knew they were treated.
Placebo Effect
29
Is the arranging of experimental units in groups (blocks) that are similar to one another.
Blocking
30
Example: sex of a patient
Blocking
31
Are for studying the effects of one primary factor without the need to take other nuisance variables into account
Completely Randomized Design
32
Is a collection of completely randomized experiments, each run within one of the blocks of the total experiment.
Randomized Block Design
33
Is used to determine whether there is significant difference between the expected value frequencies and the observed frequencies in one or more categories
Chi-Square
34
is used to test whether a frequency distribution obtained experimentally fits an “expected” frequency distribution that is based on the theoretical or previously known probability of each outcome.
Goodness of Fit Test
35
is used to assess if two (2) factors are related
Test of Independence