The US preschool classrooms

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BOOKS USED:

Beaty, J. (2014). Observing the Development of Young Children, (8th edition). New Jersey: Pearson.

Tobin, J., Hsueh, Y., & Kurasawa, M. (2009). Preschool in Three Cultures Revisited. Chicago: University of Chicago Press. INCLUDED IN THE ADDITIONAL MATERIALS

Preschool Comparison Paper

Short Paper:
Once you have read the entire Preschool in Three Cultures book, you will submit a paper that reflects on the ways that culture influence preschool education.
Cultural values affect: class size/ratio, curriculum, rules, teacher’s behaviors and activities. Write a brief paper (about 5 double-spaced pages typed) that includes the following sections:

1) Describe a typical day in the US preschool classrooms that we learned about.

2) Use Tobin’s approach to discuss how American values influence: class size/ratio
curriculum
rules
teacher’s behaviors activities

3) Select 2 of the features listed above. Compare and contrast these features of the US classrooms with the Chinese and Japanese schools described in the book. (For example, describe class size that is typical of US classrooms well as class size in the Chinese/Japanese schools you read about. Discuss how culture determines class size/ratio in both the American school and the non- American schools.

Sample Solution

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Quantitative Data Analysis: Statistical Techniques-Peer Response

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·     Response Guidelines

Respond to the post of two peers, offering an expansion of what your peer said, or asking a probing question. Consider commenting on how you might find the statistical technique in the learner’s study to be useful for answering questions of interest to you in your current or future work as a counselor. There needs to be a response to each peer’s posting, your response needs to be supported with two references for each peer’s posting.

1st Peer Posting

Quantitative Data Analysis: Statistical Techniques

This article is a systematic study that evaluates the efficacy of MDMA on the treatment of PTSD.  The article cites different studies on the treatment of PTSD using pharmaceuticals, psychotherapy, or a combination of the two as a way of building baseline data that the results of the MDMA treatment can be compared to.  The data from these different studies are presented statistically in t-test format.  The objective of this article is to examine the impact of  3,4-methylenedioxymethamphetamine (MDMA) on PTSD and try to determine if this drug holds any promise as a method of treatment for the disorder (White, 2014).  The article examines trials that span from 1960-2014, but the article itself was first published in The Annals of Pharmacotherapy in 2014.  The summary of the information presented in the article was interpreted with the use of information taken from Counseling research: Quantitative, qualitative, and mixed methods (2014) to ensure that the interpretation of the data in the article is as accurate as possible.  The specific pharmacology of MDMA is discussed as well as the effects of the drug on the user.  There is a discussion on the potential negative effects of the drug and precautions that should be taken.  The findings suggest that there is potential for MDMA assisted therapy to be an effective form of treatment for PTSD, but there is a need for much more research on the topic before that conclusion can be confidently stated.  This quantitative study is useful as starting point that further research into this topic can be built upon.  Perhaps the most valuable information presented in the article is what methods of MDMA assisted treatment were not effective.  Since this information is supported by statistical data, it serves as a guide to future researchers on methods to avoid and will, hopefully, produce more meaningful gains in the research moving forward.

James Naylor

References

Sheperis, C. J., Young, J. S., & Daniels, M. H. (2010). Counseling research: Quantitative, qualitative, and mixed methods. Upper Saddle River, NJ: Pearson Education.

White, C. M. (2014, April). 3,4-Methylenedioxymethamphetamine’s (MDMA’s) Impact on Posttraumatic Stress Disorder. Annals of Pharmacotherapy, 48(7).

2nd Peer Posting

u04d1 – Quantitative Data Analysis: Statistical Techniques – Maggie Jones

Weisman de Mamani, Weintraub, Gurak and Maura (2014) conducted a study that sought to find out if use of culturally informed treatment for schizophrenia (CIT-S) was more successful in reducing the severity of symptoms posttreatment than psychoeducation (PSY-ED).  This study was a family treatment focused study.  Inferential statistics were gained from this study as the use of chi square and t-tests were used to determine the statistical difference between the results of the two groups (CIT-S and PSY-ED).  Use of the Brief Psychiatric Rating Scale was used to collect data from the schizophrenic individuals.  This information was used to compare the rating prior to the two different treatment models, and then again after.  By comparing the ratings both before and after the two treatments, the differences in the ratings of the individuals with schizophrenia were able to indicate the level of change for each treatment type.  These results were then compared against each other to see if there was any indication that one treatment was more successful over the other.  The main hypothesis of this study was that patients in the CIT-S group would have a significant decline in psychiatric symptoms at the time of their treatment termination compared to those in the PSY-ED group.  

The results supported the hypothesis by computing a mean score of 43.44 for the CIT-S group and a mean score of 53.71 for the PSY-ED group.  These results show that in this study, the psychiatric symptoms decreased about 20% when CIT-S was used compared to PSY-ED.  The mean scores of this study were used for much of the comparisons between the CIT-S and PSY-ED group.  Mean scores are calculations of the average score; taking into account all scores and dividing them by the number of total scores.  The mean is often used in studies to describe the central tendency of the results (Sheperis, Young & Daniels, 2010).   

References

Sheperis, C. J., Young, J. S., & Daniels, M. H. (2010). Counseling research: Quantitative, qualitative, and mixed methods. Upper Saddle River, NJ: Pearson Education Inc.

Weisman de Mamani, A., Weintraub, M. J., Gurak, K., & Maura, J. (2014). A randomized clinical trial to test the efficacy of a family-focused, culturally informed therapy for schizophrenia. Journal Of Family Psychology, 28(6), 800-810.

 

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WK7 ASSGN 1

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Autoimmune Disease ( Type 1 diabetes)

 

Application: Protocol for Diagnosis, Management, and Follow-Up Care of Disorders

 

 

 

As pediatric patients grow from infancy to adolescence, there are many common body system disorders that may potentially present. As an advanced practice nurse caring for these patients, you must understand the pathophysiology and epidemiology of these disorders as this will help you to recognize symptoms and select appropriate assessment and treatment options. In this Assignment, you prepare for your role in clinical settings as you design a protocol for the diagnosis, management, and follow-up care for a common body system disorder.

 

 

 

To prepare:

 

 

 

•Reflect on the body system disorder that you selected (Autoimmune Disease ( Type 1 diabetes))

 

•Think about the pathophysiology and epidemiology of the disorder.

 

•Consider a protocol for the diagnosis, management, and follow-up care of the disorder you selected.

 

•Think about how culture might impact the care of patients who present with this disorder.

 

 

 

To complete:

 

Write a 2- to 3-page paper that addresses the following:

 

•Explain the disorder you selected, including its pathophysiology and epidemiology.

 

•Explain a protocol for the diagnosis, management, and follow-up care of this disorder as a provider .

 

•Explain how culture might impact the care of patients who present with the disorder you selected.

 

 

 

Reference( use 3 additional relevant current articles or references)

 

Burns, C. E., Dunn, A. M., Brady, M. A., Starr, N. B., & Blosser, C. G. (2013). Pediatric primary care (5th ed.). Philadelphia, PA: Elsevier.

 

◦Chapter 25, “Endocrine and Metabolic Disorders” (pp. 529–556)

 

 

 

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Need repair to assignment-deliverable 7 – statistical analysis report

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I need to get an “A” on this assignment or I will fail. 

Here is what the professor said about my assignment…” 

Good work Jeffrey.  You fully explained the scenario and data provided with only minor errors.  However, no steps are shown for how you computed the measures of center and measures of variation.  The confidence interval is correctly calculated and explanations demonstrate a mastery of understanding.  Your explanations are good when explaining a hypothesis test, but a few key steps or components are incorrectly calculated.

When defining the variables, each should only have one level of measure, you must choose which fits best for each.

Be sure to show your work in Excel for finding each level of measure and each level of center.  You may leave off any unnecessary calculations.

You have an error in your calculation for the test statistic in th hypothesis test which also led to an incorrect P-Value.

Here are the instructions: 

Instructions

You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.

You do some research and put together a spreadsheet of the data that contains the following information:

  • Client number
  • Infection disease status
  • Age of the patient

You are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:

  1. Brief overview of the scenario and variables in the data set
  2. Discussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and variance
  3. Discussion, construction, and interpretation of the 95% confidence interval
  4. Explanation of the full hypothesis test
  5. Conclusion

Below is what I turned in :