Sampling and Experimentation Flashcards

1
Q

Population

A

The entire group of individuals or items of interest

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2
Q

Sampling Frame

A

A list of all members of the population

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3
Q

Sample

A

The part of the population that is being examined

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4
Q

Sample Survey

A

The process of collecting information from a smaple

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5
Q

Census

A

The process of collecting information from all units in a population

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6
Q

Observational Study

A

An activity in which the experimenter observes the relationship among variables rather than creating them

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7
Q

Experiment

A

A activity in which the experimenter applies treatments to subjects to see a relationship between variables

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8
Q

Confounding Factor

A

Occurs when the two variables of interest are related to a third variable instead of just to each other

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9
Q

Biased Sampling

A

Result in values that are systematically different from the population values or favor certain outcomes

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10
Q

Judgmental Sampling

A

Makes use of a nonrandom approach to determine which item of the population is to be selected in the sample

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11
Q

Sample of Convenience

A

A sample that is rather easy to obtain

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12
Q

Volunteer Samples

A

The subjects choose to be a part of the sample

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13
Q

Simple Random Sampling (SRS)

A

A process of obtaining a sample from a population in which each member has an equal chance of being selected

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14
Q

Types of Simple Random Samples

A
  1. Sampling with replacement from a finite population

2. Sampling without replacement from an infinite population

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15
Q

Systematic Sampling

A

The first item is selected at random from the first k items in the frame, and then every kth item is included in the sample

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16
Q

Stratified Random Sampling

A

The population is divided into groups called strata and a simple random sample is taken from each stratum

17
Q

Proportional Sampling

A

The population is divided into groups called strata and a simple random sample of size proportional to the stratum size is selected from each stratum

18
Q

Cluster Sampling

A

A population is divided into non-homogeneous groups called clusters and a simple random sample is obtained from some clusters but not all of them

19
Q

Sampling Error

A

Variation inherent in any survey

20
Q

Response Bias

A

Caused by the behavior of the interviewer or respondent

21
Q

Non-response Bias

A

Occurs if the person selected for an interview cannot be contacted or refuses to answer

22
Q

Under-coverage Bias

A

Occurs if part of the population is left out of the selection process

23
Q

Wording Effect Bias

A

Occurs is confusing or leading questions are asked

24
Q

Response/Dependent Variable

A

The variable to be measured in the experiment

25
Q

Explanatory/Independent Variable

A

A variable that may explain the differences in responses

26
Q

Experimental Unit

A

The smallest unit of the population to which the treatment is applied

27
Q

Confounding Variable

A

A variable whose effect on the response cannot be separated from the effect of the explanatory variable

28
Q

Factor

A

A variable whose effect on the response is of interest in the experiment

29
Q

Levels

A

The values of a factor used in the experiment

30
Q

Treatments

A

The factor-level combinations used in the experiment

31
Q

Control Group

A

A group of experimental units similar to all the other experimental units except that it is not given any treatment

32
Q

Placebo Group

A

A control group that receives a placebo in experiments involving medicines

33
Q

Blinding Technique

A

Used in experiments to prevent bias

34
Q

Single-Blind Experiment

A

Either the patient does not know which treatment they are receiving or the person measuring the patient’s reaction does not know which treatment was given

35
Q

Double-Blind Experiment

A

Both the patient and the person measuring the patient’s reaction do not know which treatment the patient was given

36
Q

Blocking

A

Used to control the effects of known factors

37
Q

Block

A

A group of homogeneous experimental units

38
Q

Replication

A

Refers to the process of giving a certain treatment numerous times in an experiment or of applying it to a number of different experimental units