Dr Tabor's Research

According to Schutt (2008), sampling is defined as a subset of population used in a study to be a representation of the population as a whole. My final project is a pre-hire assessment which analyzes potential risky pattern behaviors and emotions in the work place. One of the most important considerations related to sampling that will need to be addressed in my final project is defining the population that will be taking the assessment.

Luker describes sampling through canonical social science research as a “systemic random probability sample”, with the goal of producing results that can then be apply and a general way. For example, with a research question that focuses on voting in a election, A canonical social science research question may trying to determine how many voters are expected to vote a certain way in a election. By using randomly sampling a certain number of voters could be surveyed the result can provide a general description of the voting trend of an entire populations with similar characteristic as the sample group. While I agree with Luker that sampling is important to both canonical qualitative and qualitative social science research, in the case of qualitative research, the word has different meaning.

In the Lord Of The Flies by William Golding, Ralph, the protagonist of the story, facing difficult challenges as he struggles to survive and prove himself on a remote island, with no grown ups around. The boys are brought together when Ralph blows a conch shell, and he is then elected as leader of the group of stranded boys because of it. Almost immediately he is met with oppostion from the leader of the choir boys, Jack. Golding uses these two leaders to contrast two different styles of leadership, and to cement the idea that Jack, the antagonist, and his style of leadership are more efficent than Ralph and his style. Ralph is still a boy in the story, he has traits that would make him a good leader, but the way that he handles them truly

Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

As much as anyone would say otherwise self-interest does play a measure in and to some extent can interfere with decision-making. Whether that becomes moral decision-making would depend upon what and who defines that particular moral as right or wrong. As humans we have such a competitive nature built into our makeup it just seems so hard not to have some self-interest. If we look at such things as employment searches, promotions, salary increases any type of lateral employment moves; most people would like to know what’s in it for them. It has manifested itself more clearly as of recent in my opinion as we have navigated through the X Generation, Y Generation or the Millennials to what we have now, which I

In this study, it uses surveys to analyze 135 seabirds to find that today about 90 seabirds have traces of plastic in their stomachs. A survey is what allows us to ask/study large numbers or people (in this case seabirds) questions about attitude and behavior (textbook p.44). The sample size for this specific study would be 135 which is the subset of a population being studied. The population in this case would be all seabirds, which is the entire group from which the sample was taken

The main purpose of Unit 3 of The Basics of Introductory Statics, Chapters 11-16 is to introduce the students to inferential statistics, ANOVA, sampling, analysis of variance and chi square. Inferential Statistics is a work with the relationship between samples and populations in other words, the strength of the effect and error. There are many kinds of sample(s) when working in Unit 3, there is related samples, distribution sampling, population samples and independent samples. So, you may ask what is considered a sample in statistics? In statistics, a sample refers to a set of observations drawn from a population.

Confucianism focuses on rituals and the proper behavior of the culture. There is a belief that what you are is your place in society and one must be okay with that. One has to learn to be okay with their life or situations because nature will always run its course even with interruption. Confucius’ main goal was to explain proper character through observation, studying, and self-reflection. Which could be found in nature and the way nature works. Which relates to the quote “Those who know don’t talk. Those who talk don’t know” because those who know, learn through observing their surrounding. A human reaches potential when they are able to recognize their true self, what nature is, and how to follow their nature. To me knowing who they are

The two examples of surveys are cluster sampling and stratified sample. Cluster sampling is a probability sample that is a random select masses of individuals having certain appearance in common, for example all students taking a history class. Stratified sample is probability sample that is random with a minor group that are relational represented, for example students in a english class spend more money on books than engineering students so if we used large percentage of english or engineering students then the result won't be accurate.

In the real world, we are constantly looking for ways to make connections between things. When you try to find a correlation between two variables, the variables are known as bivariate data. This is done so that we can analyze things like the connection between a number of ice cream cones bought each day compared to its temperature. In this study, we are calculating the correlation coefficient of the number of chirps a cricket makes per second and the temperature. This is another form of bivariate data since we are measuring the temperature, and we are measuring the chirps per second. For each temperature measure and corresponding chirps per second, we can graph it on a scatter plot and analyze it from there using things like the correlation

Although this is convenient for the researchers. As the researcher states in the limitations, the conclusion may be different for less experienced participants or those who were trained differently. There is no explanation as to why the participants chose to take part in the study, nor why others chose to decline the opportunity. This would be valuable information as there may be a specific group of people that decide to volunteer for research studies. The article is also unclear about how the volunteers came to know about the research and what they were told before the research commenced. Convenience sampling is most commonly used in larger- scale studies and therefore seems an outlandish method to use, as only 10 participants were used in this

This ‘random sampling error’ indicated that there was no cross section of the target group (generation Y) and in turn was a sample selection error. There were 3 respondents whose results were not analyzed, as they did not fall into the target group of generation Y and this was an administrative error. This is another common research problem is survey non-response. Marketers can unintentionally design surveys which many customers choose not to respond to.

Within this population we are looking for a sample, which is the random information we

You can find your scatterplot in your output file. It will look something like the graph below. You will see a bunch of dots. Your scatterplot can tell you about the relationship between variables, just like Pearson’s r. With it, you can determine the strength and direction of the relationship between variables.

Sample does not has an acknowledge chance of being selected as in convenience or voluntary response surveys. Most researchers may be bounded by time, and money. Such limitations do not allows the researcher to randomly sample the entire population so they choose non-probability sampling in which all the members in the population do not receive equal chances of being selected.