INRS 7311 Learning Unit 4 Sampling and Data Collection Theme 1 Population and Sampling Flashcards Preview

BACC 3RD YEAR > INRS 7311 Learning Unit 4 Sampling and Data Collection Theme 1 Population and Sampling > Flashcards

Flashcards in INRS 7311 Learning Unit 4 Sampling and Data Collection Theme 1 Population and Sampling Deck (23):
1

Identify the population of a research study 3 marks

*The whole group of people/entities from which the info is required or gathered
*This group is specified using research questions(outlines where data will come from )
*All members in a population must have one characteristic linking them to the research

2

Explain the concept of population parameters 3 marks

*Shared characteristics of the entire population chosen .
*Eg nature , size , etc

3

Identify different units of analysis3 marks

*Smallest possible units that can be investigated or researched .
*EG people , groups , organisations etc

4

Discuss key considerations in identifying a population 6-8 marks

*Determine the nature of the population by seeing whether research questions are best asked by turning to people , groups , organisation etc .
*Once you have the nature of the population , determine the common characteristics between the units of analysis
*Using this info the population can now be defined .
*Target and accessible population can now be distinguished between .

5

Distinguish between target and accessible population 4 marks

*Target audience = Any and everyone that falls into the characteristics outlined by the study .
*Accessible = Only population included in the study .

6

Describe sampling and different sampling methods . 4 marks

*Sampling is cutting the population who have the required characteristics down to a reasonable size .
*A sample is subset of the population that suitably represent the population

7

Explain what is meant by a representative sample 3 marks

*Shares the characteristics of the general population .
*Questions to this population should be the same standard/style as if the whole population was included .

8

Explain a sampling error 4 marks

*The extent to which we can generalize the findings to the rest of the population .
*Indication of how confident that a certain part of the population will provide similar result to the sample .

9

Explain a sampling frame 3 marks

*A full list of elements of the population .
*eg : phonebook , staff list , mailing list etc

10

Discuss the aspects to consider when choosing a sampling method 5 marks

*Sample is a subset of the population
*Sampling frame is a list of elements included in the population
*Final sample must have same relevant characteristics of the whole population to be a fair representation

11

Distinguish between probability and non probability sampling methods . 10 marks

*Probability sampling : has each unit in the population had the equal chance to be in the sample . This method is preferred in quantitative studies .Leads to a sample that : fits in with research parameters , is randomly drawn , requires little influence from the research , and leads to generalisable findings

*Non-probability sampling : Done when it is impossible to determine entire population or difficult to gain access to it . The chance to be in the sample isn't equal. Used in qualitative research . Sample drawn is : in line with research parameters , all aspects of population aren't available to access , when getting a representative sample isn't the goal of the study .

12

List probability sampling methods

Simple random sampling , systematic sampling stratified sampling , multi-stage cluster sampling

13

Explain random sampling 3 marks

* Each unit has an equal chance of being picked to be in the sample " drawn from a hat " .
*Helps remove researcher bias

14

Explain systematic sampling . 4 marks

*The sampling frame is used to list all the units of the population .
*An interval is set ( eg every 5 units) then that unit is put into the sample . eg for a population of 100 to get a sample size of 20 units , the interval might be 5 for instance .

15

Explain Stratified sampling 4 marks

*Split the population into strata ( groups that have similar characteristics within the same population)
*Simple random sampling or systematic is then used to draw sample

16

Explain multi stage cluster sampling 3 marks

*Done when the sample frame is too big and/or widespread
*Frame is split into cluster at least twice , from which a random draw is done for the final sample .

17

List the non-probability sampling methods

*Accidental , Convenience sampling , purposive , Quota , Snowball , Volunteer

18

Explain accidental sampling 3 marks

*Sample isn't taken from a frame , but chosen because they were in the right place at the right time .
*These results cannot be generalised , as the sample was chosen at random

19

Explain convience sampling 4 marks

*Sample is taken from units that are the most easily accessible . Different from accidental sampling in that the researcher is likely in regular contact with the units before the research begins , which is what makes them convienience in the first place .

20

Explain purposive sampling 5 marks

*Use of a set list of characteristics to choose our sample .
*Researcher then handpicks units that fit these characteristics from the population .
*Helpful as this ensures perfect sampling unit compliance .

21

Explain Quota sampling 5 marks

*Similar to purposive sampling .
*Differs in that the ratio of units picked for the final sample reflects the unit ratio as the population .
*eg if red sweets outnumber blue sweets two to one , the final sample of sweets will reflect this .

22

Explain snowball sampling 3 marks

*Often used in qualitiative research
*Based on referrals .
*Researcher gets in contact with one unit who fits characteristics . You then get them to put you in contact with other units they think fit your characteristics

23

Explain volunteer sampling 5 marks

*Units volunteer themselves for the research
*Leads to many errors
*People only will answer Q's when either the chance to get something in return or voice their unhappiness at something .
*If not for either of those reasons , then volunteers subtly give answers they think are desired rather than being honest .

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