Probability Sampling - Revision history

Dirkjan at 20:01, 27 August 2020

2020-08-27T20:01:50Z

Dirkjan: Replaced content with "Probability Sampling Category:mbi Category:Decision Category:M7 Category:Methods Category:Quantitative Category:Term"

2020-08-27T19:20:45Z

Replaced content with "Probability Sampling Category:mbi Category:Decision Category:M7 Category:Methods Category:Quantitative Category:Term"

Dirkjan: Created page with "The essential characteristic of probability sampling is a procedure where each person or item is given a known chance of inclusion and the procedure is used for the selection..."

2020-08-25T08:05:56Z

Created page with "The essential characteristic of probability sampling is a procedure where each person or item is given a known chance of inclusion and the procedure is used for the selection..."

New page

The essential characteristic of probability sampling is a procedure where each person or item is given a known chance of inclusion and the procedure is used for the selection of individual items in the [[Population|Population]]. Possible methods are:

* Random sampling
** Each individual has an equal chance of being selected.
** Make sure more people are selected
* Stratification
** If certain groups (or strata) can be identified before sample selection takes place it will be better to include this upfront. This is called stratification.
** When you do not know the groups upfront you can identify those by asking a question:
*** "At the last general election which party did you vote for"
*** "Do you ride a motor cycle"
** The retrospective use of information is known as post stratification.
* Cluster Sampling
** If your population has a group or clusters which adequately represent the whole population it is more convenient and cost effective to select a random cluster and carry out a census for a complete cluster. This is called cluster sampling.
** An interesting variant of cluster sampling is a ''random walk''. For instance, conduct interviews with every 5th house.

With ''multistage design'' a series of related samplings are conducted.

Part of: [[M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods|M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods]]
[[Category:mbi]]

[[Category:Decision]]

[[Category:M7]]

[[Category:Methods]]

[[Category:Quantitative]]

[[Category:Term]]

← Older revision		Revision as of 19:20, 27 August 2020
Line 1:		Line 1:
−	The essential characteristic of probability sampling is a procedure where each person or item is given a known chance of inclusion and the procedure is used for the selection of individual items in the [[Population\|Population]]. Possible methods are:	+	Probability Sampling
−
−	* Random sampling
−	** Each individual has an equal chance of being selected.
−	** Make sure more people are selected
−	* Stratification
−	** If certain groups (or strata) can be identified before sample selection takes place it will be better to include this upfront. This is called stratification.
−	** When you do not know the groups upfront you can identify those by asking a question:
−	*** "At the last general election which party did you vote for"
−	*** "Do you ride a motor cycle"
−	** The retrospective use of information is known as post stratification.
−	* Cluster Sampling
−	** If your population has a group or clusters which adequately represent the whole population it is more convenient and cost effective to select a random cluster and carry out a census for a complete cluster. This is called cluster sampling.
−	** An interesting variant of cluster sampling is a ''random walk''. For instance, conduct interviews with every 5th house.
−
−	~~With ''multistage design'' a series of related samplings are conducted.~~
−
−
−	~~Part of: [[M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods\|M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods]]~~
	[[Category:mbi]]		[[Category:mbi]]

← Older revision		Revision as of 20:01, 27 August 2020
Line 1:		Line 1:
−	~~Probability~~ Sampling	+	The essential characteristic of probability sampling is a procedure where each person or item is given a known chance of inclusion and the procedure is used for the selection of individual items in the [[Population\|Population]]. Possible methods are:
		+
		+	* Random sampling
		+	** Each individual has an equal chance of being selected.
		+	** Make sure more people are selected
		+	* Stratification
		+	** If certain groups (or strata) can be identified before sample selection takes place it will be better to include this upfront. This is called stratification.
		+	** When you do not know the groups upfront you can identify those by asking a question:
		+	*** "At the last general election which party did you vote for"
		+	*** "Do you ride a motor cycle"
		+	** The retrospective use of information is known as post stratification.
		+	* Cluster Sampling
		+	** If your population has a group or clusters which adequately represent the whole population it is more convenient and cost effective to select a random cluster and carry out a census for a complete cluster. This is called cluster sampling.
		+	** An interesting variant of cluster sampling is a ''random walk''. For instance, conduct interviews with every 5th house.
		+
		+	With ''multistage design'' a series of related samplings are conducted.
		+
		+
		+	Part of: [[M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods\|M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods]]
	[[Category:mbi]]		[[Category:mbi]]