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An essay on the various sampling methods
Short essay on sampling methods
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Simple random sampling is when every subject of the sample size representing the population has the same and equal opportunity of being chosen. Incorporating randomness and an equal likelihood of selection is quite difficult for a human, for he or she is naturally prone to bias (whether on purpose or without knowledge and desire). Placing names in a slip of paper and them mixing them around in a box is not as random as we believe or expect it to be. In fact, the act of such method brings its bias because it is a human controlling the selection; the mixing could possibly not be thorough enough, affecting unfairly the probability of a name being picked as opposed to another. This process could also become unreasonable, time consuming and expensive …show more content…
It does not matter the precautions or other characteristic guidelines followed to insure a reliable and well-conducted survey if the sample was chosen unfairly and without equal chance of selections for all possible candidates. The following are specific sources where bias can be found. Household bias is when members of lager households are unfairly held with higher significance by pollsters. This occurs when they tend to not be fully represented because only one member of a big or small household takes part in the sample. Nonresponse bias usually plays a factor in questionnaires that are sent out by mail, for the percentage of responses obtained is significantly low; not to mention, there is never certainty in the population receiving and taking it. As previously stated, people deny, ignore, or are unavailable to obtain and complete the response; mailed questionnaires do not have the luxury of caller ID and an answering machine. To increase the response rate, rewards must be offered (most of the time being money) and follow-ups or back-up contacts must be available; a higher response rate is more likely when using short and simple phrased surveys. On the other hand, response bias occurs when people refuse to answer truthfully during interviews and questionnaires in fear of their opinions being disreputable and unpopular. Quota sampling bias happens when those conducting interviews have free will and can select the people they will be questioning; in choosing a specific percentage of people based on gender, race, etc. is not a form of giving an equal opportunity to all which is, therefore, bias. Selection bias comes when choosing specific people and not others, which involves not providing an equal chance of
Two sampling methods include mail surveys and convenience sampling, a variation of a nonprobability sample. Mail surveys, inexpensive way to contact individuals over a large geographical area, provide anonymity to the respondent, and eliminate interview bias. Convenience sampling, a nonprobability sample, the only criteria is the convenience of the unit to the researcher, fast and uncomplicated, but the sampling error not determined.
After reading See No Bias by Shankar Vedantam I have learned that many people are unaware their biases. Mahzarin Banaji took a bias test, now known as the Implicit Association Test and her results stated she had a biased for whites over blacks. She didn’t understand her results because she is a minority too. She did an experiment where she had people picking from a list of unknown names. “The experiment showed how subtle cues can cause errors without people 's awareness.” Millions of people have taking the bias test and large majorities of people showed biases, even if they said they had no biases. The results also showed that minorities had the same biases as the majority groups. For example, “Some 48 percent of blacks showed a pro-white or anti-black bias; 36 percent of Arab
The Zundel vs. Citron case explains bias as, “a state of mind that is in some way predisposed to a particular result or that is closed with regard to particular issues,” (Zundel vs. Citron). Due to the importance that bias can play in a decision, the courts have created a legal test to determine if it exists in any given situation. The test is, “what would an informed person, viewing the matter realistically and practically – and having thought the matter through –
An example of a bias is when a counselor uses an treatment plan “one size fits all”. Counselor should be careful because not all clients have the same problems and will required additional support then others. According to Snowden (2003) states “Bias occurs in the beliefs and actions of individual clinicians, and it is at this level that it has received the greatest amount of attention. Bias also occurs when unfounded assumptions become normative beliefs shared by members of practitioner networks or treatment organizations. Bias occurs too when authorities and community members become particularly intolerant of minority individuals with mental illnesses and differentially enforce conformity norms of acceptable behavior”. Therefore, counselors
Random representative sampling is a method of sampling that uses random selection to obtain its samples. By making sure that everybody has an equal chance at being selected, random representative sampling ensures diverse samples. Using the example in paragraph one, a random representative sample allows you find the statistics on all the company’s employees without interviewing all them. Random representative sampling is important for getting accurate poll results because it allows you to find the view of a population while making sure that the poll is not biased in any way.
Growing up in a very accepting and forward home, I always found myself to be free of most bias. Having been the target of some racial prejudice in the past, I always told myself that I would make sure nobody else had to feel the same way. While this may be a great way to think, it really only covers the fact that you will not have any explicit bias. What I have realized during the course of this class is that implicit bias often has a much stronger effect on us than we might think, and even the most conscious people can be affected.
Therefore, during the heels of respondents, attention was paid not to economic indicators of prosperity, but to the fact that all respondents differed from each other by such indicators as age, gender, education, ethnicity, religion.
The research is not without its limitations. One of the challenges that would be faced would be establishing the accuracy and bias in the various answers given by respondents. Some of the information may be dishonest, biased and unclear. This would render the report unreliable.
Sampling bias (pg. 112) – a sampling method can be called biased if the results of the research found favors the outcome the researcher is looking for. The researcher ultimately controls/influences whether the results are biased and potentially misleading. If a researcher thinks that football players are more susceptible to concussions, the researcher may only look at specific positions where the players take more hits to the head for their research which could affect the results looking at football players as a whole.
A considerable body of research has been injected into the nature and impact of both majority and minority influences. Moscovici (1980 in Hogg and Vaughan 2007) claimed that both majorities and minorities exert influence in different ways.
Often uses random sampling to select a large statistically representative sample from which generalizations can be drawn.
This chapter taught me the importance of understanding statistical data and how to evaluate it with common sense. Almost everyday we are subjected to statistical data in newspapers and on TV. My usual reaction was to accept those statistics as being valid. Which I think is a fair assessment for most people. However, reading this chapter opens my eyes to the fact that statistical data can be very misleading. It shows how data can be skewed to support a certain group’s agenda. Although most statistical data presented may not seem to affect us personally in our daily lives, it can however have an impact. For example, statistics can influence the way people vote on certain issues.
When the scores among one group become significantly higher and more predictable over another group this is where bias validity comes in. Which is when performance is highly predicted over one time for one group. Most test biases are blamed to cultural bias. Cultural bias is the view to which a test takes credit from or offends some students based on their ethnicity, gender or socioeconomic status. People have studied many types of test bias that affect validity and precision of test results with biases such as construct, method and item
The Advantages and Limitations of Social Surveys in Sociological Research To survey something, is to carry out a systematic overview so that a researcher can produce a comprehensive general report on it. Survey method is often used by positivist sociologists seeking to test their hypotheses, and to investigate causes and examine variables. As with every other sociological research, survey has its own advantages and limitations. Positivist research, which is in the scientific tradition, begins with a hypothesis that can be either confirmed or rejected according to the data collected. One of the significant advantages of survey method is that, it can be used to collect data that is a representative of a larger population.
...sis, which could make all results invalid. With any research projects, limitations will be present. It is important to attempt to eliminate some of these causes in order to complete a thorough, accurate study. In future projects, this study could go about researching the issue in different ways. Perhaps using a larger sample size would be conducive for accurate results. A larger sample size helps reduce and even out any possible errors caused by those who do not answer truthfully. Also, keeping the surveys mainly anonymous would help to receive more truthful and accurate responses from participants. Participants may be fearful of judgments on open interviews or phone interviews, which could affect responses. In order to obtain as accurate results as possible, a future study would need to find ways to survey participants in a confidential way that feels comfortable.