• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/67

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

67 Cards in this Set

  • Front
  • Back
Sample
A subset, or some part, of a larger population
Population (universe)
Any complete group of entities that share some common set of characteristics
Population Element
An individual member of a population
Census
An investigation of all the individual elements that make up a population
Sampling Frame
A list of element from which a sample may be drawn; also called working population
Sampling Frame
A list of elements from which a sample may be drawn; also called working population
Reverse directory
A directory similar to a telephone directory except that listings are by city and street address or by phone number rather than alphabetical by last name
Sampling Frame Error
An error that occurs when certain sample elements are not listed or are not accurately represented in a sampling frame
Sampling Unit
A single element or group of elements subject to selection in he sample
Primary Sampling Unit (PSU)
A term used to designate a unit selected in the first stage of sampling
Secondary Sampling Unit
A term used to designate a unit selected in the second stage of sampling
Tertiary Sampling Unit
A term used to designate a unit selected in the third stage of sampling
Random Sampling Error
The difference between the sample result and the result of a census conducted using identical procedures

A function of Sample Size

The laws of probability make it possible to estimate the size of RSE
Probability Sampling
A sampling technique in which every member of the population has a known, nonzero probability of selection
Nonprobability Sampling
A sampling technique in which units of the sample are selected on the basis of personal judgement or convenience; the probability of any particular member of the population being chosen is unknown
Convenience Sampling
The sampling procedure of obtaining those people or units that are most conveniently avaliable
Judgement (purposive) Sampling
A nonprobability sampling technique in which an expereicned individual selects the sa,ple based on personal judgement about some appropriate characteristic of the sample member
Quota Sampling
A nonprobability sampling procedure that ensures that various subgroups or a population will be represented on pertinent characeristics to the exact extent that the investigator desires
Snowball Sampling
A sampling proceudre in which initial respondents are selected by probability methods and additional respondents are obtained from information provided by the initial respondents
Simple Random Sampling
A sampling procedure that assures each element in the population of an equal chance of being included in the sample
Systematic Sampling
A sampling procedure in which a starting point is selected by a random process and then every 'n'-th number on the list is selected
Stratified Sampling
A probabiliy sampling procedure in which simple random subsamples that are more or less equal on some characteristic are drawn from within each stratum of the population
Proportional Stratified Sample
A stratified sample in which the number of sampling units drawn from each stratum is in proportion to the population size of that stratum
Disproportional Stratified Sample
A stratified sample in which the sample size for each stratum is allocated according to analytical considerations
Cluster Sampling
An economically efficient sampling technique in which the primary sampling unit is not the individual element in the popluation but a large cluster of elements; clusters are selected randomly
Multistage Area Sampling
Sampling that involves using a combination of two or more probability sampling techniques
What is the everyday purpose of Sampling?
Saily life is full of sampling behaviour -- not scientific but illustrative of hte purpose of sampling
Scientific Reasons for Sampling
1) Practicality - saves time, cost and labour
2) Sufficiency - can provide acceptable accuracy and reliability
3) Conservation
Universe
Complete of elements sharing a common set of characteristics

*A universe is infinite (unbounded)
Census
An investigation of all the individual members of a population; each and every population element is examined
Mailing List
List of names, addresses, and phone numbers of specific populations; generally avaliable from list brokers (commercial vendors) who obtain lists of ournal subscribers
Reverse Dictionary
Lists population elements by street addres of phone number rather than alphabetically by name of subscriber
Sampling Frame Error
Results when (1) certain sample elements are excluded, or (2) the entire population is not accurately represented
Sampling Unit
A single population element or a group of elements subect to selection in the sample
Stages in Sample Selection
1) Defining the Target Population
2) Selecting a Sampling Frame
3) Deciding on a probability or nonporbability sample
4) Planning the sampling procedure
5) Determining Sample Size
6) Selecting the actual sampling units
7) Conducting Field Work
Defining the Target Population
Not always obvious ust waht the target population is; errors are possible if this issue isn't carefully thought through -- requires identifying the appropriate sampling units
Selecting a Sampling Frame
What are the elements in the target population you can actually access?
Deciding on a Probability or Nonprobability Sample
Depends on the nature of the research issues
Planning the Sampling Procedure
Depends on the choice of probability or nonprobability sampling
Determining Sample Size
In the case of a probability sample this is a statistical proces based on an estimate of the variance, the acceptable error, and the desired confidence level; in the case of nonprobability samples, largely a matter of judgement
Selecting the Actual Sampling Units
Regquries taking into account sources of error that can confound the research study
Conducting Fieldwork
Has to do with various issues involved in actually collecting data -- procedures for dealing with nonresponses, refusals, callbacks and so on
Nonprobability Sampling
Units of the sample are selected on the basis of personal udgement or convenience
Consequences of chooing a Nonprobability Sample
1) The chance of any particular member of the target population being chosen is unknown
2) There is no way of measuring random samling error in a nonprobability sample
Convenience Sampling
Used to obtain the most conveniently avaliable sample units

* Gets a large Sample quickly and economically
* Best used for exploratory research
* Not representative of anything other than the specific sample you obtain
Judgement (Purposive) Sampling
An experience individual selects the sample based on some requried or appropriate characteristics of the sample units
Quota Sampling
Ensures that certain characteristics of the target population will be represented in the sample: (1) in proportion to their representation in the population, or (2) according to characteristics required by the researcher
Snowballing Sampling
Useful when the target population is unique in some way and no lists are avaliable. Initial sample units are selelcted on a probability basis. Those persons are then solicited for the names of additional similar respondents wtih whom they are acquainted
Advantages of Probability Sampling
1) Every member of the target population has a known, nonzero chance of being selected in the sample
2) It is therefore possible to statistically determine the likely zie of random sampling error by specifying a confidence interval within which the population parameter is likely to fal
Simple Random Sampling
Each element in the population has an equal chance of being included in the sample
Systematic Sampling
An initial starting point in a list is selected randomly and then every nth item in the list is selected for the sample
Sampling Interval
The number of population Units between units selected for the sample
Periodicity
A possible problem in systematic sampling if the list has a repetitive pattern
Stratified Sampling
Simple random subsamples are drawn from within different population strata are more or less equal in some characteristic

More efficient than a simple random sample

More accurately reflects the overall target population
Homogeneity and Heterogenety in Stratified Sampling
The basis chosen for stratification should increase homogenity within each stratum and increase heterogeneity between strata
Proportional Stratified Sampling
The number of sampling units within each stratum is in proportion to the relative size of that stratum in the population
Disproportional Stratified Sampling
When there exists some significant dsiparity among sampling units it makes more sense to sample different kinds of units disporoportionately
Cluster Sampling
An economically efficient sampling technique used when population elements are geographically widespread. The primary sampling unit (PSU) is not an individual element, but a cluster of elements. Secondary sampling (SSUs) of smaller segments may also be selected
Area Sample
A cluster sample in which the PSU is a geogrpahical area
Multistage Area Sampling
Using a combination of probability sampling techniques -- typically progressively smaller geographical areas randomly selected
Sample Design Considerations
Each of the various sampling techniques has advantages and disadvantages
Internet Sampling
The internet provides some unique opportunities as well as some unique problems in sampling
Advantages of Internet Sampling
The main advantages is speed -- huge samples or samples of specialized nature can be collected quickly and economically
Disadvantages of Internet Sampling
Inaccurate Representation
Internet Sampling: Panel Samples
It is possible to draw random consumer panels from among Internet uses who have agreed to participate

*May involve use of some incentie such as sweepstakes, cash or points
*Main advantage is the use of a database of persons who have provided demographic information on product warrant registration
Internet Sampling: Propensity Weighting
A procedure based on correction factors derived from comparisons made between parallel samples obtained from regular mail and Internet survey results
Internet Sampling: Opt-in Lists
Databases comprised of persons who have given permission to be contacted by email