Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18900595

  

4-I enjoyed reading your post, it reminds me of myself. Every time I think I am starting to understand a little, I read something else and feels like I start over. In statistics it seems that there are many things that we would have to master to be an effective researcher. Every week adds something new that we must learn before moving on. I will say, this has been one of my hardest classes so far.  

  

5-This is some useful information that you provided for us. We can see that the most common alpha numbers are the 0.10, 0.05, and the 0.01, however I am interested in what will dictate the researcher to use an alpha number other than those three. The fact that it could be any number between 1 and zero leaves many possibilities.

  

6-The number represented by alpha is a probability, so it can take a value of any nonnegative real number less than one. Although in theory any number between 0 and 1 can be used for alpha, when it comes to statistical practice this is not the case (Johnson, 2013). Of all levels of significance the values of 0.10, 0.05 and 0.01 are the ones most commonly used for alpha. As we will see, there could be reasons for using values of alpha other than the most commonly used numbers (Johnson, 2013).

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18900593

  

1-The advantages of using repeated measures are that you do not need a large sample size. Because each participant is taking part in all treatments, need at least half the amount of participants than if you used a between subjects design.  Not only does this save on money it also saves on collecting large amounts of data to analyse (Poletiek, 2013). Another advantage of a repeated measures design is that it allows for good control of individual differences, resulting in small effects as the amount of random error is very small. This is because with there being only one group to test, the experimenter need not worry about the individual differences between the two groups, in statistical terms this means there is less ‘noise’ (Poletiek, 2013). However it is almost impossible to produce data without any noise at all, this is because although you do not have to worry about individual differences between groups, you still have individual differences within the group. Not everyone in that group will react in the same way to the treatment, thus creating a small amount of noise.

  

2-This kind of t-test is used when a study uses repeated measures, or within subjects. In this kind of study design one group is exposed to both treatments, whereas for independent groups or between subjects there are two separate groups and each group is exposed to a different treatment (Poletiek, 2013). For example if a researcher wants to observe the effects of sleep deprivation on memory recall, for a repeated measures design, they would ask all participants to take part in a memory recall task without sleep deprivation and then again but having been sleep deprived. Whereas if the experimenter were to use independent groups they would ask one group to take part in a memory task without sleep deprivation, and ask another completely independent group to take part in the same memory task but with sleep deprivation (Poletiek, 2013).

  

3-Your DQ was amazing. I think you had the most in depth DQ that I have ever read. You provided great information and also gave great examples. I also stated in my DQ that the T-test was used for sample sizes that are smaller than 30. I also stated that the z-test could be used for sample sizes that are larger than 30. I like how you stated the different examples that each author uses for the different tests. Did you know all of this information before starting this class? I only knew the basics. 

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18893235

  

1-The key concept behind random sampling is getting an accurate representation by getting a wider variety of results. The main limitation to random sampling however is to get a spread that truly represents the entire population while also staying random. It is nearly impossible to stay random while also capturing a representation of the population as a truly random sample could just as easily have a group that all show the same result while the entire population would show another.

  

2-I really enjoyed reading your post. Random sampling can give researchers the most unbiased opinion of a study. Each individual that has been chosen for the study had an equal opportunity to be chosen. I really like how you described the limitations of random sampling, because the sample size can be to small and not have enough variation.

   

3-Random sampling is a method of sampling that is unbiased in way that allows for any sample to be chosen. Random sampling does have its limitations though one being that of having a small sample size which can affect the study. The other limitation is having a big group that has the same interest. For example taking a college and asking who their favorite college team is the chances are most will pick their school thus not giving the best results. In order to help prevent that it is important to have a large amount of people while also having the group be unbiased in a way that allows for a great variety in their choices in order to have the best results of random sampling.

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18886573

  

4-The mode, median and mean tell us something about a set of observations. The mode is the only measure of center appropriate for nominal data. For example, if we were looking at the most frequently purchased food item in a certain snack bar in 1999, it make sense to say that the most frequent (modal) food purchased was mini chocolate.  The median is at the middle of an ordered data set and is a useful measure for ordinal variables, while the mean only makes sense for interval and ratio scales of measurement

  

5-A populationis is a set of persons or objects that has a common observable characteristics and a complete set of items that share at least one property in common that is the subject of a statistical analysis. An example is the people in certain locality that share a common geographic origin, language, literature, and genetic heritage, among other traits, that distinguish them from people of different nationalities.

  

6-The mean is the summary of an entire population.  Sometimes it is called the average.  It isn’t a particular individual, but rather the entire population (University, 2013).  The mean could be used to determine the average age of a population.  If you add all the ages of all the people in the population and divide by the number of individuals, it would give you the mean.  This is the “summary” of the population. The median is more centralized and would be used to explain what a “typical, normal, or average” member of the population is (University, 2013).  You could use the median to again find the median age.  This is slightly different than the mean in the way that there is only 1 answer.  The median is the middle of the data set (University, 2013), meaning it may be slightly higher or lower than the mean.  Sometimes outliers will skew the numbers, but it isn’t affected as much as the mean would be. The mode is used to calculate the number that appears the most in a set of numbers.  Going along with the ages of the individuals, we would write out all ages of the individuals in the community.  If the age of 60 showed up 18 times and was the highest amount of all the numbers, the mode would be 60.  The mode is not used very often because it is not a measure of the centre of the data in the same way that the median and mean can be.

Reference

University of Wollongong. (2013, August 12). Appropriate use of mean, median and mode.  Retrieved from http://www.uow.edu.au/student/qualities/statlit/module2/3.2mmm/UOW153116.html

 
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Please Answer Base In This Answer In Apa Format Write At Least 250 Words Please Answer The Comments By Number And List Your Answers Please Thank You 18873213

  

1-This is a tough topic.  Here you are, a working family, you are going to school to better yourself even further and you millions of others are still faced with these decisions about health care.  When you say you pray I know you mean that literally because our daughter is in the same boat.  My husband keeps talking about wanting to retire early but he just does not understand the cost of having good health care.  I will probably be working until I am 90 because I will be afraid of Medicare and not being able to afford good care.  Wish we had better answers but we are not getting anywhere fast…that’s for sure. 

  

2-The most important elements of the Affordable Care Act were to get more people insured, to keep costs down and to improve overall care and outcomes.  New laws were to make affordable health insurance available to more people.  The law would provide consumers with premium tax credits that will lower costs for households that qualify.  To qualify households must have incomes between 100% and 400% of the federal poverty level. Another component was to expand the Medicaid program.  This would now cover all adults with income below 138% of the federal poverty level.  In addition, the goal was to support medical care delivery methods designed to lower costs of health care overall.

As nurses, we need to continue to be innovators and continue our work in research.  We need to focus on continuing to improve on patient safety and improving quality of care.  Nurses need to continue to be lifelong learners and meet demands of a changing society.  We must also continue to raise the bar for education with advanced degrees.  We must continue to push for more diversity in our profession to keep up with our diverse society to make patients more comfortable.  We also need to continue to bring our ideas to the table and be leaders within our organizations.  As we foster interprofessional collaboration the patients will benefit from teams working more closely together to improve patient care. 

  

3-The key elements of the Affordable Care Act are the following: providing national access to healthcare coverage for the entire population from birth through retirement, this will provide coverage for about 94 percent of the American people, to improve quality, affordability and fairness of health insurance coverage, to enhance healthcare efficiency, quality, diversity and values, to reduce wasteful spending, and to improve public health by expanding clinical preventive care and community investments.

The Act focuses on improving public health by investing in primary health care, especially in medically underserved communities. It also increased insurance coverage for clinical preventive services and procedures. For instance, physical examination, annual wellness visits, well child visits, immunizations, screening exams, like colonoscopy, mammograms and cervical cancer, are all covered by insurance with no cost sharing. In addition, the development of a national preventive plan and the establishment of a Prevention and Public Health Trust Fund, to fund investments in communities that will improve public health. Further investments are being made to in school-based health programs, preventive oral health care, tobacco cessation and adding prevention planning to Medicare.

Nurses are play a vital role and a an extremely important driving force in the implementation of this law. By developing innovative care models like transition of care, home care, care management, and nurse managed clinics, nurses will improve quality of care and lower health care cost.  Also, participating in research to aid in scientific evidence-based practices which improves quality, safety and patient outcome. Advanced practices nurses help increase the availability of primary care providers and provide cost effective care. Lastly, nursing leadership will be needed to implement better workflows to reduce medication errors, improve quality and care coordination, and increasing access to medical care. For these reasons and many others, nurses are of upmost importance in the implementation process of this Act.

 
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Please Answer Base In This Answer In Apa Format Write At Least 250 Words Please Answer The Comments By Number And List Your Answers Please Thank You 18873211

  

1-This is a tough topic.  Here you are, a working family, you are going to school to better yourself even further and you millions of others are still faced with these decisions about health care.  When you say you pray I know you mean that literally because our daughter is in the same boat.  My husband keeps talking about wanting to retire early but he just does not understand the cost of having good health care.  I will probably be working until I am 90 because I will be afraid of Medicare and not being able to afford good care.  Wish we had better answers but we are not getting anywhere fast…that’s for sure. 

  

2-The most important elements of the Affordable Care Act were to get more people insured, to keep costs down and to improve overall care and outcomes.  New laws were to make affordable health insurance available to more people.  The law would provide consumers with premium tax credits that will lower costs for households that qualify.  To qualify households must have incomes between 100% and 400% of the federal poverty level. Another component was to expand the Medicaid program.  This would now cover all adults with income below 138% of the federal poverty level.  In addition, the goal was to support medical care delivery methods designed to lower costs of health care overall.

As nurses, we need to continue to be innovators and continue our work in research.  We need to focus on continuing to improve on patient safety and improving quality of care.  Nurses need to continue to be lifelong learners and meet demands of a changing society.  We must also continue to raise the bar for education with advanced degrees.  We must continue to push for more diversity in our profession to keep up with our diverse society to make patients more comfortable.  We also need to continue to bring our ideas to the table and be leaders within our organizations.  As we foster interprofessional collaboration the patients will benefit from teams working more closely together to improve patient care. 

  

3-The key elements of the Affordable Care Act are the following: providing national access to healthcare coverage for the entire population from birth through retirement, this will provide coverage for about 94 percent of the American people, to improve quality, affordability and fairness of health insurance coverage, to enhance healthcare efficiency, quality, diversity and values, to reduce wasteful spending, and to improve public health by expanding clinical preventive care and community investments.

The Act focuses on improving public health by investing in primary health care, especially in medically underserved communities. It also increased insurance coverage for clinical preventive services and procedures. For instance, physical examination, annual wellness visits, well child visits, immunizations, screening exams, like colonoscopy, mammograms and cervical cancer, are all covered by insurance with no cost sharing. In addition, the development of a national preventive plan and the establishment of a Prevention and Public Health Trust Fund, to fund investments in communities that will improve public health. Further investments are being made to in school-based health programs, preventive oral health care, tobacco cessation and adding prevention planning to Medicare.

Nurses are play a vital role and a an extremely important driving force in the implementation of this law. By developing innovative care models like transition of care, home care, care management, and nurse managed clinics, nurses will improve quality of care and lower health care cost.  Also, participating in research to aid in scientific evidence-based practices which improves quality, safety and patient outcome. Advanced practices nurses help increase the availability of primary care providers and provide cost effective care. Lastly, nursing leadership will be needed to implement better workflows to reduce medication errors, improve quality and care coordination, and increasing access to medical care. For these reasons and many others, nurses are of upmost importance in the implementation process of this Act.

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18940257

  

1-A T-test and a Z-test are almost similar in theory, but have a different application mechanism. The major difference with these two is the size of the sample applied in each case. The t-test is appropriate for smaller samples. Any sample less that 30 units are best analysed using the t-test, while beyond 30 units require a z-test. A z-test is also better if the standard deviation is not known.  

 T tests are used to compare a given mean to the mean of the given population; it can be applied to either individual values or ones that are paired. The T test can be helpful when you do not know the standard deviation and is best utilized when your sample size is smaller (n<30 sample size) (Lango, 2015). For example, in a Z test you must know the standard 

  

2-Z-test- implies a hypothesis test which ascertains if the means of two datasets are different from each other when variance is given. It is based on normal distribution with a known population variance and a large sample size >30 units

 T-test- refers to a type of parametric test that is applied to identify how the means of two sets of data differ from one another when variance is not given.  It is based on student T distribution when the population is unknown and the sample size is smaller, <30 units.  

Reference

Difference Between t-test and z-test (with Comparison Chart) – Key Differences. (2018, March 10). Retrieved from https://keydifferences.com/difference-between-t-test-and-z-test.html

  

3-Yes, in theory these two test are common with differences only setting in when applying them. Both used in hypothesis setting, the z-test is better applicable when the standard deviation is known, and when dealing with a larger sample size. A z-test is better to use when dealing with a larger sample size than of over 30. A t-test is better when the sample size is less than 30, and when dealing with an unknown standard deviation

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18934531

  

1-In order to get real results, and a truly random study we need to not have bias. Its one of the things that I notice most when people are having their vaccine debate, or with political garb. You can almost always tell when someone has an agenda they are trying to push. 

  

2-An important feature of a good study is that the sample is randomly selected from the target population which is the entire group of individuals that the researcher is interested in studying. To choose randomly means that every member of the target population has an equal chance of being included in the sample. This will prevent biased in the sample group.

To prevent problems in obtaining a truly random sampling, several steps can be taken.

  1. The      target population is well defined. If not well defined, the sample that is      actually studied may be outside the intended population or the survey may      include people that should be included.
  2. The      sample matches the target population. It would be difficult to ask      everyone in the target population to provide the wanted information, so      the best that the researcher can do is select a subset of individuals from      the population and gather information from them.
  3. The      sample size is large enough. If there is a large sample size that is      representative of the target population (randomly selected) the      information is likely to be accurate.

In any research project, steps must be taken to prevent biased. Part of that process is to realize the importance of random sampling. Bias can easily be introduced by not defining the target population well enough, ensuring the sample matches the target population and ensuring the sample size is large enough.

Reference:

Rumsey, D., (2010). Statistics Essentials for Dummies. Wiley Publishing, Inc. Indianapolis, IN

  

3-Sampling is the process of selecting a representative group from the population under study. It is more or less impossible to study every single person in a target population so psychologists select a sample or sub-group of the population that is likely to be representative of the target population we are interested in. If the sample we select is going to represent the target population then we need to make sure that the people in it are similar to the other members of the target population. This is important because we want to generalize from the sample to target population. The participants in research, the sample should be as representative as possible of target population. The more representative the sample, the more confident the researcher can be the results can be generalized to the target population. Everyone in the entire target population has an equal chance being selected. This is s similar to the national lottery. If the ‘population’ is everyone, who has bought a lottery ticket, then each person has an equal chance of winning the lottery. Random samples require a way of naming or numbering the target population and then using some type of raffle method to choose those to make up the sample. Random samples are the best method of selecting your samples from the population of interest. The advantages are that your sample should represent the target population and eliminate sampling unfairness, but the disadvantage is that it is very difficult to achieve.

     One of the  problems that can occur when selecting a sample from a target population is sampling bias, sampling bias refers to situation where the samples doesn’t reflect the characteristics of the target population. Many psychology studies have a biased sample because they have used a opportunity sample that comprises university students as their participants

Reference:

McLeod, S.A. (2014) .Sampling methods. Retrieved from www. simply psychology.org//sampling.html

 Reply  |  Quote & Reply 

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18977073

  

1-If I may also add to your post with regards to situational variables. According the the Association for Customer Research “Numerous studies have shown that the longer the time interval between  measures of intention and behavior, the greater the inconsistency in behavior. Empirical  evidence is presented to support the theory that this time effect on behavior  inconsistency is partially a function of unexpected situational variables. Unexpected  situational variables were also shown to affect changes in intentions over time”. (Joseph A. Cote Jr. and John K. Wong (1985). This appears to affect the outcome more than some of the other variables.

  

2-Canada, 2014).

4)Statistical Control: When using Extraneous variables are present in nearly all studies and influence results. They include any variable which is not directly being studied. It is the goal of researchers to identify and control extraneous variables and to mitigate their effects on the study (Statistics, 2015). There are four ways researchers can intercede on these undesirable variables, either :

1.) Randomization: In large samples, the variable being studied or observed is disbursed randomly throughout the groups. This method does not control the extraneous variables, however it allows for equal influence of the extraneous variable throughout the group. This way each sample is effected equally.

2)Matching: This involves creating subgroups of those with the same confounding variables. These are variables which effect both the independent and dependent variables. These groups can be highly specific or generalized, for example age and sex versus health history.

3)Experimental designs: The design of the experiment itself can be influential on the damage caused by extraneous variables. For example, ineffective sampling criteria or studying too broad of a population (Dissertation the above interventions and the influence of extraneous variables does not improve, researchers can use a tool called ANOVA (Analysis of Variance). This method Among the various statistical tools and techniques, Analysis of Covariance ( ANOVA) helps in reducing the impact of the extraneous factors on the study. This is done by comparing the means of several independent groups and analyzing them for similarities and differences to extract the effects of the undesirable variables. (Laird Statistics, 2018)

References:

Dissertation Canada. (2014). Methods to Control Extraneous Variables. Retrieved from http://www.dissertationcanada.com/blog/methods-to-control-extraneous-variables/

Laird Statistics. (2018). One-way ANOVA. Retrieved from https://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide.php

Statistics. (2015). What are Extraneous Variables? Retrieved from http://www.statisticshowto.com/extraneous-variable/

  

3-I liked the study example. Examples such as yours helps to understand the research a little better. I found another definition of extraneous variables while doing some research.

“Every experiment includes extraneous variables. One method of controlling extraneous variables is placing the control group side by side with the experimental group. When an experiment does not give the expected results, further study often reveals an extraneous variable, the scientist did not initially consider, is responsible. Extraneous variables become more difficult to control with human subjects. The participants have different genetics and life experiences. Scientists attempt to eliminate variables by studying large groups of people and by using statistical analysis of the resulting data” (Reference, 2018).

Reference, 2018.  What Are Extraneous Variables in a Research Survey? Retrieved 9 19, 2018, from

    https://www.reference.com/world-view/extraneous-variables-research-survey-f5f4de93e39c437b#

 

 
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Please Answer Based On These Answers As They Are Listed Each One Must Be Answered In Apaform And Not Less Than 150 Words 18955665

  

3-One area of nursing that seems to be an ongoing problem is nurse to patient ratio. I feel like when this subject is brought up to those in charge of staffing, they want to roll their eyes at me or whoever is asking about it. I understand that nurses have been wanting less patients for as long as I can recall. The problem is more than just floor nurses complaining. With the advancements in technology and medicine, patients are able to have their cares at home or surgeries on an outpatient basis. Those “walkie talkie” patients are becoming fewer and fewer in the hospital. The patients that we take care of on a daily basis are sick. And I mean they are sick. These patients that may have been ICU patients in the past are now on acute care floors and are being cared for by a nurse that has four other very sick patients. If they had been admitted to the ICU, their nurse may have only one more patient. Floor nurses are being pulled very thin which also leads to nurses feeling burnt out and can have those nurses looking for a different job, which leads to the nursing shortage (Garretson, 2004). We have continued to have the same nurse to patient ratio for years now even though the patients being seen are getting sicker. If nurses had less patients to care for, closer attention can be given to their patients and the risk of mortality can be decreased (Shekelle, 2013)

Garretson, S. (2004). Nurse to patient ratios in American health care. Nursing Standard, 19(14), 33-37. Retrieved 8 29,

 2018, from 

      https://ncbi.nlm.nih.gov/pubmed/15633873

Shekelle, P. G. (2013). Nurse–Patient Ratios as a Patient Safety Strategy: A Systematic Review. Annals of Internal

  

5-I like your post. Of course Nurses play an important customer service role for hospitals, doctors offices and other medical facilities. Nurses are the ones with the most frequent, direct patient interaction. I just want to share  the best way to provide excellent customer services .

Be personable and connect with patients:

  • Listen
  • Use      touch when appropriate
  • Make      eye contact
  • Do      not rush interactions with patients
  • Acknowledge      that you are understanding the patients desires and concerns by      summarizing and stating them back to the patient and verifying that you      both are on the same page.

Use appropriate language:

  • Discuss      medical information in language that patients can understand

For example: If a patient has a fourth grade reading level do not use every big word and medical term possible when discussing medical information

Show that you care:

  • Ask      patients if they have any questions or concerns
  • Take      the time to listen to any questions or concerns that the patient may have
  • Show      empathy and acknowledge their issues
  • Address      their issues and keep them informed on actions being taken

Involve patients in their care:

  • Give      patients choices whenever possible
  • Take      their preferences into consideration and formulate a plan together
  • Be      knowledgable and considerate of the cultural, social or economic factors      that influence their care, decision making, and interation with the      healthcare team

  

6-Medication errors are one of the most common causes of unintended harm to patients. Med errors can lead to patient disability or even death. The problem is many nurses are in a hurry or don’t even realize they have administered the wrong medication. This can not only lead to possible further harm but does nothing to correct the error as it goes unnoticed. A patient returns from surgery, anxious and in pain, with several I.V. lines and intracranial pressure (ICP), monitor in place. The I.V. tubing used in the operating room differs from the tubing used in the intensive care unit (ICU). In her haste, the ICU nurse prepares to inject morphine into the patient’s ICP drain, which she has mistaken for the central line. She stops just in time when she realizes she is about to make a severe mistake.  The nurse did not complete her five rights before administration leading to a med error. With the new mandated law of electronic charting, we are required to scan our meds which may cut back on the number of errors, but I do not believe it will eliminate them. Technology is growing in hospitals and helping nurses to go right path and prevent medication errors, but unfortunately, med error still exists. Nurses can help further eliminate medication errors by following five rights and completing the appropriate checks before administering any medications. A possible benefit to help reduce medication errors may be to extend new grads internships as well. Education is the key to prevent the medication error. Medication administration is a complicated multistep process that encompasses prescribing, transcribing, dispensing, and administering drugs and monitoring patient response. An error can happen at any step. Although many errors arise at the prescribing stage, some are intercepted by pharmacists, nurses, or other staff.

References

American Nurses today-ANA:https://www.americannursetoday.com/medication-errors-best-practices/

Nurse Perceptions of Medication Errors: What We Need to Know for Patient Safety: https://www.nursingcenter.com/journalarticle?Article_ID=514523

 
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