Improving Quality of Health Care Services Custom essay

Select one initiative used to improve quality and/or safety of health care. Summarize the initiative and provide your views on the effectiveness of this initiative and how it can be improved.

Write a 2- to 3-page paper using the following guidelines and evaluation criteria.

Use a minimum of 5 references from the professional nursing literature in the assigned course readings and other references. If they are relevant, you may use one or two professional web sites in addition to the literature references.

Begin the paper with a brief paragraph that provides an overview of the assignment and its purpose. There is no separate heading for this paragraph; the heading is the same as the title of the paper. This will be about 2-3 sentences. The last sentence in this paragraph is a sentence that begins “The purpose of this paper is to ¨. This paragraph is worth 20 points.

Media and Sample Populations custom essay

In market research as well as academic research, a sample is often used in helping researchers study characteristics of a larger population. In your text, you read about how samples are used to make generalizations or inferences about populations using what is called inferential statistics. Imagine for a moment you are asked to find out the likelihood that a particular subset of the population would purchase a product offered by your company. Since it would not be possible to ask everyone in the population, sampling the population can give you a view into the probable purchasing behavior of your target population.

Also you found a claim on a marketing website that said their products have sold well with the market of 18- to 25-year-old male young professionals. What kind of sample do you think was used to make that claim? How would you reproduce that sample selection? This Discussion will allow you to evaluate advantages and disadvantages of sampling in the media.

To prepare: Consider an example of a sample you might find in the news media (e.g., advertisement, television news program, newspaper, web, or magazine article). Identify an example where a sample is used to represent a larger population.

A brief description of the media example you found, including details about the sample. What population do you believe this sample best represents? What are the advantages and disadvantages of using a sample to represent the population in your particular media example? Suggest a scenario when use of a sample to represent this population might not be the best choice. Justify your post using the Learning Resources and current literature..

Offer a critique of the justification presented for not using a sample. Explain why you agree or disagree.


Sampling, Variables, and Study Design custom essay

Using statistics in research is only a small part of understanding the whole research story. Whether you are reviewing, using, or creating research studies, understanding key elements of a research study will help you to see how related pieces fit together, and ultimately how statistics can be used to meet research goals. It is important to think through these elements before a study begins to ensure that your results tell you what you really want to know. Consider how the choice of study design could influence other research choices you might make, such as what statistical procedures you need to conduct to understand and interpret your data. Consider also how the choice to measure a variable using a specific scale of measurement can change your results.

For example, consider a study that researches the emotional recovery of individuals after a car accident. Researchers are specifically focusing on age differences in recovery in this study. In this example of a correlational study, the two variables in the study would be age and emotional recovery. If you wanted to look at these variables in another way, you could assign some participants to a therapy group and some to a control group to measure the effect of therapy on emotional recovery. That would be an experimental study. The independent variable would be therapy, and the dependent variable would be emotional recovery. You would not need to consider each participant’s unique mental health status but would need to keep in mind that statistics allow you to consider the group-level differences in data.

This week, by looking at a research scenario, you will be able to identify and differentiate components that make up a study, such as variables, study design, and scales of measurement.


Researchers want to determine if student intelligence is related to self-esteem. They collect a sample of 300 freshmen from a local university’s participant pool and ask each of them to take an IQ test. The results show IQ scores ranging from 95 to 145.

Researchers also ask students to complete a 20-item assessment of their self-esteem. Each item on the survey is scored on a 1 to 5 scale with higher scores meaning higher self-rating of self-esteem. The researchers average the student responses on the 20 items to get a self-esteem composite score.

The researchers conduct statistical analyses to see if it is probable that the sample accurately describes the relationship between the population’s intelligence (as measured with the IQ test) and self-esteem (as measured with the self-assessment questionnaire).


Based on the scenario , submit responses to the following:

  • Identify the sample and what population it represents.
  • Identify factors to consider when determining what population the sample represents.
  • Categorize the variables of self-esteem and IQ based on scales of measurement in the scenario (ordinal, nominal, etc.).
  • Identify limitations/factors to consider when evaluating the generalizability of the results.
  • State whether this study design is experimental or correlational. Explain your answer.
  • Suppose self-esteem was manipulated by telling some students that they were well liked by their classmates, and other students that they were not well liked, before they took an IQ test. If this were the case, identify the independent variable and the dependent variable. Explain how you would know which is which

Measures of Central Tendency Custom essay


Consider a time when you took an exam in school and received your results. Your score meant more when you also knew how everyone else performed in comparison. More than just knowing the average score, maybe you were also able to see how many students scored higher and lower than you.

Measures of central tendency and variability can offer insight into large data sets. They differ, however, in that central tendency can tell you an average or typical data point (e.g., exam score average), whereas variability can tell you even more, such as how far each data point differs from the average or mean as well as how spread out around the mean all of the data points are. How much a score deviates from the mean can help you better understand a group of scores or numbers that you want to summarize or describe. Consider, for example, that one well-paid individual’s salary is $100,000, while the majority of salaries are closer to $50,000. How might that one high score influence each measure of central tendency? Would it cause you to believe one measure of central tendency is a better summary of salary than another? These questions are important ones to consider as both consumers and producers of research. In this Discussion, you evaluate the choices of using different measures of central tendency and variability to summarize data.


Consider the following two scenarios. In scenario one, you are a restaurateur, seeking to open a restaurant. In the other scenario, you are hoping to attract a restaurant to your town. Consider how measures of central tendency and variability can help you communicate information about data and think about why.

Post a response to the following: As the restaurateur, what measures of central tendency and variability would you want to know about before making your decision? Would one measure of central tendency be more important to you than another? Why?

As an individual hoping to attract a restaurant to your town, would your response be the same? Explain why or why not and provide an example.

Measures of Central and Variability Tendency Custom essay

While researchers typically show frequency distributions in a table as a way to organize large amounts of data, you may have also seen frequency distributions displayed graphically, using histograms or smooth curves. Consider the bell curve, or normal distribution, and remember the first time you saw one. What can the frequency of occurrence tell us about a characteristic or phenomenon? Can it tell you how much better or worse you performed on a test when compared to the scores of your classmates? Imagine that you collected those test scores and created a frequency distribution. There might be, for example, many scores clustered around the 90% mark and no scores in the 0% to 60% range. Refer to the following graphic for more information. If your frequency histogram only included the range of observed scores (60% to 100%) instead of the entire range of possible scores (0% to 100%), it might appear that you had a normal distribution when really there was a negative skew. What other factors can you consider when planning how to interpret data?

Frequency distributions, particularly the normal curve, are an ongoing concept in this class. The normal distribution is very common in behavioral research. When you describe data with many different scores, you will understand more about them if you know the resulting distribution type. For example, if you notice a test score frequency distribution in the shape of two equal humps, or in a bimodal distribution, you can say with some certainty that scores fell into two ranges showing two discrete groupings of students’ scores. This Assignment focuses on your ability to understand and distinguish among the different types of frequency distributions, measures of central tendency, and measures of variability and understand what they mean in relation to a sample.

To prepare for this Assignment, review mean, median, and mode as well as the different types of distributions in your textbook.


Recall that for this week’s Discussion you considered data related to opening or attracting a new restaurant. Now consider that you ask 20 participants to estimate how many times a month they go out to dinner and you receive these responses:

1, 2, 5, 8, 2, 4, 8, 4, 2, 3, 6, 8, 7, 5, 8, 4, 0, 7, 6, and 18.


To complete this Assignment submit calculations of the following measures of central tendency and variability using the data set provided. Include an explanation of how you calculated each measure and what information each measure gives you about the dining behavior of the sample.

Finally, create a data file in SPSS and run analyses to find the mean and standard deviation. Note: Your hand-calculated mean and standard deviation will differ somewhat from the calculations in SPSS due to rounding.

Hand-calculated mean:

SPSS mean:




Deviation of the highest score from the mean:

Hand-calculated standard deviation (Please also state the hand-calculated values for ∑X2and(∑X)2.):

SPSS standard deviation:

Explain how the standard deviation (SD) and the deviation of a single score differ in the information they provide. Explain how each measure (mean, median, mode, deviation of the highest score from the mean, and standard deviation) would change if the score of 18 was eliminated from the data set.

Explain the type of distribution (positive skew, negative skew, bimodal distribution, or normal distribution) your data create. Explain how you know the type of distribution and what the data tells you about your sample.

Probability Testing Custom essay

You almost certainly engage in decision making every day. Usually, you choose an option because you believe that it will have a more pleasing outcome than the other choice(s). If you knew your likelihood of succeeding or failing, you would have an even easier time making a decision. Each decision you make is influenced by probability.

As you would expect, psychologists like to keep the probability of coming to false conclusions in research as low as possible, though you know that it is almost impossible to make a decision that is entirely free of error. But what are the implications of making different types of errors? Are all errors equally dangerous, or do some have more critical importance than others? Consider the four possible decisions a jury could reach in a murder trial when the sentence is the death penalty. If the jury’s verdict is correct, either an innocent defendant goes free or a guilty defendant is convicted. However, what about when the jury makes an error, and a guilty defendant goes free or an innocent man is convicted? How do we calculate the probability of each of these types of errors?

Probability tests might help you make decisions of low importance, such as purchasing goods, but they can also play a role in making critically important decisions. For example, scientists often use probability to evaluate the safety of drugs for human use. This Discussion presents an exercise in probability in the context of a research study for a new drug to treat depression.

To prepare for this Discussion, review the textbook sections on probability and Type I and Type II errors.


Imagine that a pharmaceutical company is testing a new medication to treat major depression in people whose symptoms have not been helped by existing medications.You are part of a panel of professionals who must decide if the drug should be considered safe for human trials. The null hypothesis is that the drug is considered to be safe. The alternative hypothesis is that the drug is considered to be unsafe. In the above scenario, would a Type I or Type II error be worse? Why? Be sure to spell out what a Type I and Type II error would be in this example so your explanation is clear.

Address the following as you prepare for your posting:

  • Consider an example of when it is acceptable to have a pof .05 versus .01. What effect would this have on your interpretation of the drug’s safety?
  • Consider the likelihood of making a Type I or Type II error. What effect could these errors have on your interpretation of the drug’s safety?
  • Draft a recommendation regarding whether the drug should be seen as safe for human trials.
  • Consider how the scenario would need to change in order to have a different recommendation.

Post  your recommendation on whether human testing trials should begin on the drug described in the scenario. Explain why or why not. Specifically, include how the use of different p values (.05 versus .01) and concerns related to Type I and II errors would influence your recommendation. What conditions would need to change for your recommendation to change? Justify your post using the Learning Resources and current literature.

Making Inferences from a Sample custom essay

Hypothesis Testing:

Hypothesis testing is the foundation of conducting research in psychology. Researchers must first determine the question they wish to answer and then state their prediction in terms of null and alternative hypotheses. Once the hypotheses are stated, researchers move on to data collection. However, once the results come in, the real challenge is to determine if they have meaning, if the results are significant.

For example, a researcher asks whether attending a private secondary school leads to higher or lower performance on a test of social skills when compared to students attending publicly funded schools. After stating the hypotheses and collecting data, the researcher sees that the mean social skills scores for the two schools are different, but is the difference meaningful or just due to random variation? There must be a significant difference in order to say that the two schools really do have students with different social skills.


Imagine that the drug for severe depression from this week’s Discussion was approved for use in humans. Researchers now want to know whether people using this drug have a different life expectancy than the rest of the general population. A sample of 100 patients who use the drug are followed over time. Those that use the drug have a mean life expectancy of 71.30 years. The mean life expectancy for the general population is 75.62 years. The population standard deviation is 28.


To complete this Assignment, responses to the following:

  • Identify the independent and dependent variables.
  • Explain whether the researcher should use a one-tailed or a two-tailed ztest and why.
  • State the null hypothesis in words (not formulas).
  • State the alternative hypothesis in words (not formulas).
  • Calculate the obtained zscore by hand and state the critical value with an alpha of .05. Provide your calculations in your Assignment submission.
  • Would you retain or reject the null hypothesis? Why?
  • Explain whether the results are significant, and why or why not.
  • What should the researcher conclude about the life expectancy of the sample in comparison to the population?
  • In general, explain the relationship between zscores and the standard deviation.


Using t Tests Custom essay

In order to set up a research study, you must state your expectations and hypothesize what will happen if you compare your participants to those in the general population or to those in another group. You also need to determine the type of relationship you expect. In comparing means of groups, you may predict that one group’s mean will be higher than another. You may predict that one group’s mean will be lower than another. In either of these cases, you will implement a one-tailed test because you are predicting the direction of the relationship. If you think the means will be different but you are not sure if they will be higher or lower, you implement a two-tailed test. Once you plan your study and state your hypotheses, you collect your data, calculate results, and interpret the meaning of those results.

In this Discussion, you will create a scenario that would require using the one-sample t test and then explain what you would change in order to turn the one-sample t test into a two-sample t test. While you will not need to complete calculations, you will be asked to explain your study design and discuss why you made the choices you did. This experience will help you later to review studies and critique the interpretation of data.

Post your one-sample t test scenario. What would need to change in the scenario to result in the need for a two-sample t test? Explain whether the two-sample scenario would be categorized as having independent samples or related samples and discuss why. Support your post using the Learning Resources

Computing t Tests Custom essay

The one-sample t test discussed in Chapter 6 requires that you know the population mean. It is unusual to have this information, so most studies compare two samples instead. Each sample measures a different condition of the independent variable.

Before conducting a study, it is important to know if you would need to conduct a matched-samples t test or an independent-samples t test. Independent samples consist of two groups of different people. One group has been randomly selected and is not specifically tied to who is in the other group. Matched samples are groups that are deliberately selected to be similar to each other (matched pairs) or they are the same people in both groups (repeated measures). For example, you might want to select two groups that have similar heights. If height could affect the experiment, it could be best to match the groups on that variable. This Assignment will allow you to convey your understanding of the basic concepts related to t testing and will allow you to practice setting up and conducting an inferential parametric test in SPSS.


Imagine you are a researcher who believes that a relaxation technique involving visualization will help people with mild insomnia fall asleep faster. You randomly select a sample of 20 participants from a population of mild insomnia patients and randomly assign 10 to receive visualization therapy. The other 10 participants receive no treatment.

You then measure how long (in minutes) it takes participants to fall asleep. Your data are below. The numbers represent the number of minutes each participant took to fall asleep.

No Treatment (X1) Treatment (X2)
22 19
18 17
27 24
20 21
23 27
26 21
27 23
22 18
24 19
22 22


To complete this Assignment, submit by Day 7 a response to each of the following:

  • Explain whether you chose to use an independent-samplestest or a matched-samples t test. Provide a rationale for your choice.
  • Identify the independent and dependent variables.
  • Knowing you believe the treatment will reduce the amount of time to fall asleep, state the null and alternate hypotheses in words (not formulas).
  • Explain whether you would use a one-tailed or two-tailed test and why.
  • Explain whether you have homogeneity of variance, and explain how you know. Explain why it is important to know if you have homogeneity of variance.
  • Identify the obtained tvalue for this data set using SPSS.
  • Identify the degrees of freedom and explain how you determined it.
  • Identify the pvalue.
  • Explain whether you should retain or reject the null hypothesis and why.
  • Explain what you can conclude about the effectiveness of visualization therapy

Classical Music; Early Abolitionist Art and Literature Custom essay

using sources under the Explore heading as the basis of your response:

Listen to one (1) composition (for a symphony) by Haydn or Mozart, either at the Websites below or in this week’s Music Folder. Identify the work that you have chosen, and describe the way in which the composition expresses the specific qualities of the Classical music style. Use the key terms from the textbook that are related to that particular music style, and explain what you like or admire about the work. Compare it to a specific modern musical work for which you might use the term “classic” or “classical”.

Explain whether you think an autobiographical or fictional account by a slave (such as Phillis Wheatley and Olaudah Equiano) is more persuasive than a biographical or fictional account by a white author (such as John Gabriel Stedman or Aphra Behn). Explain whether you believe the representations of slavery in the visual arts (such as William Blake’s illustrations, William Hackwood’s cameo, or John Singleton Copley’s painting) were more compelling and convincing of the injustices of slavery than the literary representations already mentioned. In your explanations, use specific examples and consider both audience and the content and nature of the work. Identify the literary or art form in modern times that you think is most effective at depicting injustice.


Classical Music

Chapter 25 (pp. 826-832), classical style described; examples; review the Week 3 “Music Folder”
Haydn at and
Mozart at and

Early Abolitionist Art & Literature

Chapter 26 (pp. 870-2): Equiano, Stedman, Wheatley, Behn; Chapter 26 (pp. 877-879): Equiano and Behn
Wheatley at
Chapter 26 (pp. 870-873): Blake, Hackwood, Copley