Stratified Random Sampling - Am I wrong?

In summary, the speaker is seeking feedback on an article they wrote for a specific website, which they expect to be controversial due to their views on SRS and their own political beliefs. They clarify that this is not a promotion for the website, which caters to institutional investors. The speaker then asks for opinions on the article and provides a link, but realizes they may not be able to share it yet. They are open to hearing if anyone is offended by their article.
  • #1
PJC01
1,503
0
Hello all,

Once again, I visit to pick your brains with the hope of enriching my own. This time, however, you get an opportunity to beat me up a bit, if appropriate. I don't mind paying the price.

I wrote an article for this particular site that I expect will whip up a bit of controversy because of my characterization of SRS, and perhaps the slight inclination toward my own political views.

This is not a plug for the site at all. They are institutional investment consultants/asset managers that do not cater to private investors. Well, I suppose if W Buffet wanted to use them they wouldn't complain...

Warren...are you here? :)

Hmmm. I see now that I cannnot post a url just yet. Can I cheat? (Be nice!)

worldwideweb dot compendeon.com/Ignosco-Dubium dot aspx
 
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  • #2
Anyway, I'd like to hear what you all think of the article. Is it sound? Is it balanced? Would you be offended by anything in there? I'm interested in hearing your thoughts. Thanks!
 
  • #3


Hello there! Thank you for sharing your article and thoughts on stratified random sampling. I believe it is important to have open discussions and debates about different methods and approaches, as this helps us to continuously improve and refine our techniques. So, I appreciate your willingness to engage in this conversation and potentially face criticism.

From reading your article, I can see that you have a strong opinion about SRS and its limitations. While I may not necessarily agree with all of your points, I do think it is important to acknowledge and address the potential shortcomings of any sampling method. This allows us to be more mindful and cautious in our research and analysis.

However, I also believe that SRS has its own strengths and can be a valuable tool in certain situations. It allows for a representative sample that accurately reflects the population, and it can also be useful in reducing bias and increasing precision in our data. Of course, as with any method, it is important to carefully consider the specific research question and choose the most appropriate sampling approach.

Overall, I think it is healthy to have differing opinions and perspectives on SRS and other sampling methods. The most important thing is to continue to critically evaluate and improve upon our techniques in order to produce the most accurate and reliable results. Thank you for sparking this discussion!
 

What is stratified random sampling?

Stratified random sampling is a sampling technique used in scientific research to select a sample of a population that is representative of the entire population. It involves dividing the population into smaller groups, called strata, and then randomly selecting samples from each stratum.

Why is stratified random sampling important?

Stratified random sampling is important because it helps to ensure that the sample accurately represents the entire population. This reduces bias and increases the reliability and generalizability of the results.

How is stratified random sampling different from other sampling techniques?

Stratified random sampling differs from other sampling techniques, such as simple random sampling or systematic sampling, in that it takes into account the different characteristics and proportions of the population when selecting the sample. This allows for a more accurate representation of the population.

What is the purpose of stratifying a population in stratified random sampling?

The purpose of stratifying a population in stratified random sampling is to ensure that all subgroups within the population are represented in the sample. This helps to reduce the potential for bias and allows for more precise estimates of population parameters.

Am I wrong if I do not use stratified random sampling in my research?

It depends on the specific research question and population being studied. In some cases, stratified random sampling may not be necessary or feasible. However, in most cases, using stratified random sampling is recommended to ensure the accuracy and generalizability of the results.

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