Sampling Methods - SFBM01 by Usic https://padlet.com/usictech/4ppquxt6cqiuc93z Add your research here - any links to useful information is also advised en-us 2021-11-10 13:35:53 UTC 2025-09-03 13:47:26 UTC hello@padlet.com usictech https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881277762 2021-11-10 13:41:27 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881277762 Advantage of using convenience sampling https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881357344
Provides results quickly: In cases when time is limited and you need to collect data fast, convenience sampling could be the most fast method for researcher to gain the date or example.

]]> 2021-11-10 14:06:23 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881357344 Yousif, Evan, Raphael yalamoudi2 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881360976 A method of sampling involves a breaking-up of a population into smaller groups, known as a "strata". The factors influencing the strata are income and educational fulfillment. 
The importance of stratified random sampling is that it allows researchers to obtain the most accurate information about the target population, for more beneficial research. 

https://www.investopedia.com/terms/stratified_random_sampling.asp]]> 2021-11-10 14:07:29 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881360976 Yousif, Evan, Raphael jji191 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881364194 Stratified random sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata. This way could cover different kind of people who have different characteristics. And know can the the precent of different people who have the characteristcs in the whole sample.

Unfortunately, this method of research cannot be used in every study. The method's disadvantage is that several conditions must be met for it to be used properly.

]]> 2021-11-10 14:08:29 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881364194 Definition https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881365242
A convenience sample is a type of non-probability sampling method where the sample is taken from a group of people easy to contact or to reach. For example, standing at a mall or a grocery store and asking people to answer questions would be an example of a convenience sample. This type of sampling is also known as grab sampling or availability sampling. There are no other criteria to the sampling method except that people be available and willing to participate. In addition, this type of sampling method does not require that a simple random sample is generated, since the only criterion is whether the participants agree to participate.




]]> 2021-11-10 14:08:49 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881365242 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881367575 Stratified random sample allows researchers to obtain a sample population that can represent the entire population.

It divides the population into homogeneous groups called strata.

It involves the random selection of data from an entire population, so each possible sample is equally likely to occur.


]]> 2021-11-10 14:09:29 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881367575 Wissam, Wendy, Evelyn xxu96 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881369792 what:
If a population contains N individuals, a sampling method is called simple random sampling if a sample is drawn from the population individually and each individual is equally likely to be selected each time.
 
how:
 1: Define the population
 2: Decide on the sample size
 3: Randomly select your sample
 4: Collect data from your sample







]]> 2021-11-10 14:10:10 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881369792 Khalifa and yuxuan khlifaalshamsi https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881371811 Quota sampling is where you take a customized  sample in order look for a specific characteristic of a population.
In order for the quota sampling to be accurate they should:

  1. Divide the sample population into subgroups.
  2. Figure out the weightages of subgroups.
  3. Select an appropriate sample size.
  4. Survey while adhering to the subgroup population proportions.

]]> 2021-11-10 14:10:49 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881371811 Russell,Gym,Patrick ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881371895 2021-11-10 14:10:50 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881371895 Advantage https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881373784 Quota sampling is advantageous in that it can be fairly quick and easy to assemble a quota sample locally, which means it has the benefit of time-saving within the research process. A quota sample can also be achieved on a low budget because of this. These features make quota sampling a useful tactic for field research.]]> 2021-11-10 14:11:25 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881373784 Drawbacks https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881375703
Quota sampling has several drawbacks. First, the quota frameโ€”or the proportions in each categoryโ€”must be accurate. This is often difficult because it can be hard to find up-to-date information on certain topics. For example, U.S. Census data is often not published until well after the data was collected, making it possible for some things to have changed proportions between data collection and publication.


Second, the selection of sample elements within a given category of the quota frame may be biased even though the proportion of the population is accurately estimated. For instance, if a researcher set out to interview five people who met a complex set of characteristics, he or she might introduce bias into the sample by avoiding or including certain people or situations. If the interviewer studying a local population avoided going to homes that looked particularly run-down or visited only homes with swimming pools, for example, their sample would be biased.

]]> 2021-11-10 14:12:03 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881375703 Advantage https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881377621 Systematic sampling also needs to be done in populations with natural randomness. Data will become skewed if it is taken from a group that already has a pattern.]]> 2021-11-10 14:12:41 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881377621 Joana, Tongdo, and Yicen Yang https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881377658 Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval. This interval, called the sampling interval, is calculated by dividing the population size by the desired sample size.

example: giving a survey to every fourth customer that comes in to the movie theater.

How do you do it?

  1. Calculate the sampling interval (the number of households in the population divided by the number of households needed for the sample)
  2. Select a random start between 1 and sampling interval.
  3. Repeatedly add sampling interval to select subsequent households

]]> 2021-11-10 14:12:42 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881377658 Snowball Sample ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881378135 2021-11-10 14:12:51 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881378135 Definition ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881380224 Snowball sampling refers to the practice of randomly selecting some people and interviewing them, and then asking them to provide other survey objects belonging to the overall research target, and selecting the following survey objects according to the formed clues. Snowball sampling is often used to survey rare populations.]]> 2021-11-10 14:13:29 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881380224 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881382473 strengths
-Random sampling is very convenient when working with small populations that have already been identified and listed.
-Simple random sampling means that every member of the population has an equal chance of being included in the study

weaknesses
-Giving every member of the population an equal chance at inclusion in a survey requires having a complete and accurate list of population members
-A simple random sample of the entire population might include only one or two of them, so it won't tell you anything.]]> 2021-11-10 14:14:09 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881382473 Advantages and disadvantages https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881384444
Advantage
Ease of research
For researchers who are not looking for an accurate sampling, they can simply collect their information and move on to other aspects of their study. This type of sampling can be done by simply creating a questionnaire and distributing it to their targeted group. Through this method, researchers can easily finish collecting their data in a matter of hours, free from worrying about whether it is an accurate representation of the population. This allows for a great ease of research, letting researchers focus on analyzing the data rather than interviewing and carefully selecting participants.
Ready availability
Since most convenience sampling is collected with the populations on hand, the data is readily available for the researcher to collect. They do not typically have to travel great distances to collect the data, but simply pull from whatever environment is nearby. Having a sample group readily available is important for meeting quotas quickly, and allows for the researcher to even do multiple studies in an expeditious fashion. 
Cost effectiveness
One of the most important aspects of convenience sampling is its cost effectiveness. This method allows for funds to be distributed to other aspects of the project. Oftentimes this method of sampling is used to gain funding for a larger, more thorough research project. In this instance, funds are not yet available for a more complete survey, so a quick selection of the population will be used to demonstrate a need for the completed project.


Disadvantages
Bias
The results of the convenience sampling cannot be generalized to the target population because of the potential bias of the sampling technique due to under-representation of subgroups in the sample in comparison to the population of interest. The bias of the sample cannot be measured. Therefore, inferences based on the convenience sampling should be made only about the sample itself.


Power
Convenience sampling is characterized with insufficient power to identify differences of population subgroups.


]]> 2021-11-10 14:14:33 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881384444 Advantages ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881385364 The samples can be controlled according to some sample characteristics, and it is suitable to find some people who are very rare in the overall population, which can greatly increase the possibility of contact with the investigation group. The cost is relatively low, and the feasibility is strong.]]> 2021-11-10 14:14:40 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881385364 Evaluation https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881387850 Quota sample is a kind of improbability sample, the researcher selects personnel according to certain criteria. That is, units are selected into a sample based on pre-specified features so that the total sample has the same distribution of features assumed to exist in the population under study.

For example, if you are a researcher conducting a sample of corporate quotas, you might need to know the proportion of the population that is male and the proportion that is female, work experience and academic level. If you collect a sample of the corporate population with the same proportion of those categories, you will get a quota sample.]]> 2021-11-10 14:15:25 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881387850 Disadvantages ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881389070 If the population is small, it sometimes takes only a few visits to reach saturation, where subsequent visitors introduce people who have already visited.]]> 2021-11-10 14:15:47 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881389070 Wissam, Wendy, Evelyn https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881395294 2021-11-10 14:17:44 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881395294 the disadvantage of the convenience sample. ychen390 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881401560
  • One disadvantage of convenience sampling is that subjects in a convenience sample may not be representative of the population the researcher is interested in studying.

    • ]]>     2021-11-10 14:19:43 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881401560     OWK ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881404780 2021-11-10 14:20:38 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881404780 Disadvantages https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881405553
  • This process requires a close approximation of a population. 
  • Some populations can detect the pattern of sampling.
  • A high risk of data manipulation exists.
  • Systematic sampling is less random than a simple random sampling effort.

    • ]]>     2021-11-10 14:20:52 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881405553     yalamoudi2 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881408737 Advantages - captures key population, works well with a population with a variety of attributes.

    Disadvantages - useless when it comes to a smaller population, can't be used in every study. ]]>     2021-11-10 14:21:51 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881408737     ๐ŸŽ๐ŸŽ๐ŸŽ jji191 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881412708 2021-11-10 14:23:01 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881412708 disadvantage https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881424960 1.Need for natural degree of randomness
    A population needs to exhibit a natural degree of randomness along the chosen metric. If the population has a type of standardized pattern, the risk of accidentally choosing very common cases in more apparent.
    2. Greater risk of data manipulation
    3.There is a greater risk of data manipulation with systematic sampling, because researchers might be able to construct their systems to increase the likehood of achieving a targeted oucome.

    ]]>     2021-11-10 14:26:48 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881424960     ๐ŸŽ๐ŸŽ๐ŸŽ ygui8 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881434236 2021-11-10 14:29:38 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881434236 https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881449316 https://www.investopedia.com/terms/s/systematic-sampling.asp]]> 2021-11-10 14:34:07 UTC https://padlet.com/usictech/4ppquxt6cqiuc93z/wish/1881449316