Stakeholder support is necessary for successful project implementation. Consider your internal stakeholders, such as the facility, unit, or health care setting where the change proposal is being considered, and your external stakeholders, like an individual or group outside the health care setting. Why is their support necessary to the success of your change proposal, and how will you go about securing that support?
1)Stakeholder support is necessary for successful project implementation. Consider your internal stakeholders, such as the facility, unit, or health care setting where the change proposal is being considered, and your external stakeholders, like an individual or group outside the health care setting. Why is their support necessary to the success of your change proposal, and how will you go about securing that support? assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
2) Technology is integral to successful implementation in many projects, through either support or integration or both. Name at least one technology that could improve the implementation process and the outcomes of your capstone project change proposal. Do you plan to use this technology? If not, what are the barriers that prevent its use? assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
Baumrind (1966) described a set of parenting styles. Briefly describe these parenting styles. On the basis of the different parenting styles, explain which one would be most effective in promoting success in later life.
Baumrind (1966) described a set of parenting styles. Briefly describe these parenting styles. On the basis of the different parenting styles, explain which one would be most effective in promoting success in later life.
Parents purchase a number of items (until preschool) to help their children get a head start in education. Locate a few unique educational products on the market and probe their claims about helping children grow cognitively. Explain how the products may fit into Piagets stages of child development.
Justify your answers with appropriate reasoning and research from your text and course readings. Comment on the postings of at least two peers, and provide an analysis of each peers postings while also suggesting specific additions or clarifications for improving the discussion question response.
An educator overhears a conversation between two students. One of the students is talking about witnessing other students picking on a student with an intellectual disability during the daily walk home. The behavior described includes taunting, pushing, and taking personal possessions. The educator hears the student say that he feels bad for the student who is being picked on but is afraid to confront his peers or report the behavior, particularly since the activity is not happening on school grounds. Discuss how the educator can address this issue. Include evidence from the “Model Code of Ethics for Educators (MCEE)” and “Professional Dispositions of Learners” to support your ideas.
Q1: An educator overhears a conversation between two students. One of the students is talking about witnessing other students picking on a student with an intellectual disability during the daily walk home. The behavior described includes taunting, pushing, and taking personal possessions. The educator hears the student say that he feels bad for the student who is being picked on but is afraid to confront his peers or report the behavior, particularly since the activity is not happening on school grounds. Discuss how the educator can address this issue. Include evidence from the “Model Code of Ethics for Educators (MCEE)” and “Professional Dispositions of Learners” to support your ideas.
Q2: You have just finished a lesson on solving inequalities and handed students a worksheet to complete silently. While the students were working independently, you decided to check your email, not realizing that your computer screen was still being projected to the class.? You open an email from the principal Mrs. Russell, who is following up on a student, Rebecca Johnson, who was recently referred to receive services on an Individual Education Program. You realized what had occurred once you heard the students giggling at the screen. You quickly unplugged the computer from the projector and told the students to get back to work.? What should you do next to protect the students privacy? Include evidence from “Model Code of Ethics for Educators (MCEE)” and “Professional Dispositions of Learners.”
Compare and contrast nominal, dichotomous, ordinal, and normal variables.According to Morgan et al. (2019), categories without any sorting, like gender or race, are represented by nominal variables. Only yes/no or true/false values can be assigned to a dichotomous variable (Morgan et al., 2019). Ordinal variables classify individuals based on objective criteria, such as their degree of education or social standing (Morgan et al., 2019). We might think of weight and temperature as normal variables (interval or ratio) with an absolute zero point and a continuous range of values in between(Morgan et al., 2020).(b) In social science research, why isnt it important to distinguish between interval and ratio variables?
Please respond to the 3 discussion responses below. The reply must summarize the students findings and indicate areas of agreement, disagreement, and improvement. It must be supported with scholarly citations in the latest APA format and corresponding list of references to each response. The minimum word count for Integrating Faith and Learning discussion reply is 250 words.1. JuliusD2.3.1. Measurement TypeIf you have definite, ordered data (such as low income, middle income, high income) what type of measurement would you have? Why?According to Morgan et al. (2019), if ones data were categorized and arranged, one would have ordinal measurements. According to the authors, ordinal measurement is suggested for this type of data due to its ability to depict the ordered character of the categories without requiring equal intervals or normal distribution.D2.3.2. (a) Compare and contrast nominal, dichotomous, ordinal, and normal variables.According to Morgan et al. (2019), categories without any sorting, like gender or race, are represented by nominal variables. Only yes/no or true/false values can be assigned to a dichotomous variable (Morgan et al., 2019). Ordinal variables classify individuals based on objective criteria, such as their degree of education or social standing (Morgan et al., 2019). We might think of weight and temperature as normal variables (interval or ratio) with an absolute zero point and a continuous range of values in between(Morgan et al., 2020).(b) In social science research, why isnt it important to distinguish between interval and ratio variables?Due to their similarity in nature and statistical features, researchers in the social sciences generally find it unnecessary to differentiate between interval and ratio variables (Morgan et al., 2019). According to the authors, there is a technical distinction between ratio data and interval data that the ratio data has an absolute zero point, and interval data does not. However, Morgan et al. (2019) claim that it is irrelevant to most scholars to conduct studies while treating interval and ratio data identically without significantly impacting results or conclusions.D2.3.3. What percent of the area under the standard normal curve is within one standard deviation of (above or below) the mean? What does this tell you about scores that are more than one standard deviation away from the mean?The normal distribution has 68% of its area above the mean, 34% of its area below the mean, and 34% of its area right in the middle. However, within one standard deviation, the actual proportion is 34.13 percent. This translates to around 32% of all scores being more than one standard deviation outside the mean.D2.3.4. (a) How do z scores relate to the normal curve? (b) How would you interpret a z score of 3.0? (c) What percentage of scores is between a z of 2 and a z of +2? Why is this important?(a) How do z scores relate to the normal curve? – According to Johnson (2013), Z scores reflect the number of standard deviations above or below the mean of a normal distribution. Hence they connect to the normal curve.(b) How would you interpret a z score of 3.0? – If the z-score is -3.0, the value is three standard deviations below the mean.(c) What percentage of scores is between a z of 2 and a z of +2? Why is this important? The fact that 95 percent of results fall within the z-score range of -2 to +2 is crucial because it allows us to calculate the fraction of results within a specific range and to make direct comparisons between results from different distributions.D2.3.5. Why should you not use a frequency polygon if you have nominal data? What would be better to use to display nominal data?According to (Morgan et al., 2019), displaying nominal data with frequency polygons is inappropriate since these shapes have no intrinsic hierarchy. Instead of using a table, a bar chart is more appropriate for showing the nominal data since the height of each bar can be easily adjusted to show the relative proportion of each category (Morgan et al., 2019). ConclusionChoosing the appropriate data format for the outcome measures is an essential first step in analyzing the findings of practical studies. The data quality determines the extent to which an intervention may be evaluated. Definitions, attributes, and interpretations of standard measures of intervention impact are outlined, and suggestions are offered for estimating the effectiveness of interventions based on the kinds of information often presented in places like academic journals. A companion document provides statistical procedures to estimate the effects of the most used effect measures (Higgins et al., 2019). The z-score is the standard deviation-based distance from a data point to the mean. Both positive and negative values can be assigned to a score. The sign indicates whether an observation is more than or below the mean.ReferencesHiggins, J. P., Li, T., & Deeks, J. J. (2019). Choosing effect measures and computing estimates of effect. Cochrane handbook for systematic reviews of interventions, 143-176. Morgan, G. A., Barrett, K. C., Leech, N. L., & Gloeckner, G. W. (2019). IBM SPSS for Introductory Statistics Use and Interpretation (6th ed.). New York, NY, USA: Routledge.2. Rita D2.3.1 If you have categorical, ordered data (such as low income, middle income, high income) what type of measurement would you have? Why?D2.3.1 When having categorical, ordered data (such as low-income, middle-income, and high-income), the measurement would be ordinal. In the ordinal scale, the higher number is determined by the categories that are rated higher or have more or something, but the categories are not equal (Morgan et al., 2020).D2.3.2 (a) Compare and contrast nominal, dichotomous, ordinal, and normal variables. (b) In social science research, why isnt it important to distinguish between interval and ratio variables?D2.3.2 (a) The nominal variable is the most basic level of measurement that assigns a name to three or more uncategorized categories; dichotomous variables always have only two categories, and, in some cases, they have implied order; ordinal variables have three or more ordered categories from low to high with frequency distribution and scores are not normally distributed, and normal variables can have as many as at least five ordered levels with frequency distributed being approximately normal (Morgan et al., 2020). (b) In social science, it is not essential to distinguish between interval and ratio variables because, according to Morgan et al. (2020), all types of statistics that are available can be done with interval data, and both categorized as quantitative variables. D2.3.3. What percent of the area under the standard normal curve is within one standard deviation of (above or below) the mean? What does this tell you about scores that are more than one standard deviation away from the mean?D2.3.3 34% of the area is under the standards of the normal curve within one deviation above or below the mean (Morgan et al., 2020). Since 68% of the average area curve is within one standard deviation from the mean, then 32% lies away from the mean (Morgan et al., 2020). D2.3.4 (a) How do z scores relate to the normal curve? (b) How would you interpret a z score of -3.0? (c) What percentage of scores is between a z of -2 and a z of +2? Why is this important?D2.3.4 (a) Z scores relate to the normal curve by converting the normal curves into standard normal curves and setting the mean equal to zero since all normal curves have the same proportion of the curve within a standard deviation, for example, one standard deviation, two standard deviations and so on (Morgan et al., 2020). (b) A score of a z -3.0 is described as the standard deviation being less than the mean. (c) 95 is the percentage of scores between a z -2 and a z +2. (Morgan et al., 2020). The z score is essential because it helps identify how far the item drifts away from the distribution mean (Morgan et al., 2020).D2.3.5 Why should you not use a frequency polygon if you have nominal data? What would be better to use to display nominal data?D2.3.5 According to Morgan et al. (2020), frequency polygons are best used with approximately normal data. Frequency polygons can also be used with ordinal databar charts best display nominal data (Morgan et al., 2020).References:Morgan, G.A., Barrett, K.C., Leech, N.L., & Gloeckner, G.W. (2020). IBM SPSS for Introductory Statistics: Use and Interpretation (6th ed). Routledge.3. KarliD2.3.1 If you have categorical, ordered data (such as low-income, middle-income, high-income) what type of measurement would you have? Why? If you have categorical, ordered data, the type of measurement you would have needed to utilize is ordinal. Ordinal measurements are not only mutually exclusive categories but instead are ordered from low to high where ranks could be assigned (Morgan, Leech, Gloeckner, Barrett, 2020). Ordinal data could include measurements broken down into categories such as low-income, middle-income, and high-income.D2.3.2 Variable Comparison When comparing and contrasting nominal, dichotomous, ordinal, and normal variables, there are several points of similarity as well as several distinguishing factors. Nominal variables are represented by numerals assigned to each category that stand for the name of the category but have no implied order or value whereas ordinal variables are not mutually exclusive categories, but the categories are ordered from low to high (Morgan, Leech, Gloeckner, Barrett, 2020). Dichotomous variables always have two levels and, in some cases, have an implied order, and normal variables are represented by normally distributed data with ordered levels from minimum to maximum (Morgan, Leech, Gloeckner, Barrett, 2020). The key difference between these types of variables can be determined by whether or not order is a necessary factor and the type of categories being taken into consideration. Each variable type has a distinguishing factor that aids in determining its appropriate usage.(b) In social science research, why isnt it important to distinguish between interval and ratio variables? In social science research, it is not vital to distinguish between interval and ratio variables. Interval variables are ordered levels in which the difference between levels is equal but there is no true zero whereas ratio variables are ordered levels in which the difference between levels is equal but there is a true zero (Morgan, Leech, Gloeckner, Barrett, 2020). Although these variable types are important in some types of research, for social sciences attribute independent variables are especially important in place or interval and ratio variables as they are both quantitative variables and claims cannot be made about ordinal data.D2.3.3 What percent of the area under the standard normal curve is within one standard deviation of (above or below) the mean? What does this tell you about scores that are more than one standard deviation away from the mean? Approximately 34% of the area under the standard normal curve is within one standard deviation of above or below the mean therefore when taking one standard deviation both above and below the mean 68% of the areas under the standard normal curve would be taken into consideration (Morgan, Leech, Gloeckner, Barrett, 2020). Understanding that 68% of the area under the standard normal curve falls within one standard deviation provides a clear indication that scores that are more than one standard deviation away from the mean are rarer. Although it is not extremely uncommon to have scores fall within two standard deviations, the further away the score is from the mean the rarer the occurrence.D2.3.4 Z Score Interpretation(a) How do z scores relate to the normal curve? Z scores are important variables when reviewing the normal curve. When examining the normal curve table, the areas under the curve for one standard deviation are represented by z = 1, two standard deviations as z = 2, and so on and so forth (Morgan, Leech, Gloeckner, Barrett, 2020). The z score is also referred to as the standard score as it allows the probability of a score to be calculated and compared within a normal distribution (Morgan, Leech, Gloeckner, Barrett, 2020). The z-score on a normal curve could be analyzed when normally distributed data is being reviewed.(b) How would you interpret a z score of 3.0? Since the z score is determined by the position of the mean and curve of the data, a negative z score means the value is below the mean. When viewing the curve, if the z score is positive, this means the variable is above the mean as the mean is set to zero (Morgan, Leech, Gloeckner, Barrett, 2020). Since the z score is also tied to the standard deviation, when evaluating a z score of -3.0 it would mean it is 3 standard deviations lower than the mean.(c) What percentage of scores is between a z of 2 and a z of +2? Why is this important? When analyzing a normal curve, the data can be divided into scores, and depending on the area being analyzed a certain percentage of scores will fall into that range. When specifically reviewing scores between a z of -2 and a z of +2 approximately 95 % of the normal curve will be taken into consideration which is important because this is how the statistical results will be calculated (Morgan, Leech, Gloeckner, Barrett, 2020). As previously discussed, since a large percentage of scores fall between a z of -2 and a z of +2 anything further skewed is extremely rare.D2.3.5 Why should you not use a frequency polygon if you have nominal data? What would be better to use to display nominal data? Frequency polygons should not be used if one has nominal data as there are better options to use to display nominal data. Frequency polygons connect the points between the categories and are best used with approximately normal data therefore, it would be better to use a bar chart to display nominal data (Morgan, Leech, Gloeckner, Barrett, 2020). Selecting the appropriate display for the data being analyzed is a crucial aspect of interpreting results clearly and accurately.ReferencesMorgan, G., Leech, N., Gloeckner, G., Barrett, K. (2020). IBM SPSS for Introductory Statistics (5th Ed.). New York, NY
A 40 year old female presents with complaint of a headache for one week. Reports a head cold 3 weeks ago. Thought it was getting better, but sinus symptoms are back and even worse. Describes the headache is located across her forehead; feels like pressure behind my eyes and unable to breathe out of nose.
A 40 year old female presents with complaint of a headache for one week. Reports a head cold 3 weeks ago. Thought it was getting better, but sinus symptoms are back and even worse.
Describes the headache is located across her forehead; feels like pressure behind my eyes and unable to breathe out of nose. Also feels mucus running down the back of throat. Pain sometimes severe (8/10) but with acetaminophen reduces to moderate (4/10) and occasionally mild (2/10). Occasional nonproductive cough. Feels feverish at times; noted frequent sneezing and no appetite. Bending over seems to make the headache worse. Acetaminophen improves my headache, but doesnt take it away. Taking Sudafed HCL 120 mg every 12 hours, with some relief. Symptoms are worse in the morning awakes with a headache. Ranges from 2/10 at its best to 8/10. Difficulty with concentrating at job and feels very tired.
Mental health stigma has long-been a concern, although progress has been made. What do you think are some ways to combat stigma, when envisioning yourself working on a base as mental health provider? Think of it as you are the only mental health provider in town and part of your job is increasing awareness to members of that town. How might you do this proactively?
Part 1
Mental health stigma has long-been a concern, although progress has been made. What do you think are some ways to combat stigma, when envisioning yourself working on a base as mental health provider? Think of it as you are the only mental health provider in town and part of your job is increasing awareness to members of that town. How might you do this proactively?
https://www.psychologytoday.com/us/blog/supersurvivors/201707/why-the-five-stages-grief-are-wrong
https://psychcentral.com/lib/the-5-stages-of-loss-and-grief
Part 2
As the Disaster Mental Health (DMH) Team Chief, your team has been activated to debrief the fire fighters on base. One of their members passed away while responding to a large fire that destroyed two buildings. Thankfully, everyone else was safe, although some people were transported to the hospital for smoke inhalation injuries. They are expected to fully recover.
You reach the fire department with the rest of your DMH team (typically, a MH technician, Chaplain, and a civilian representative). This is your first brief (presentation) relating to a death on base and one that strikes close to home for members of this unit. Prepare a short brief. What would you say? What points about responses to grief would you want to emphasize? How would you educate them on how they may potentially respond and how would you normalize their reactions? What if some of them have no reaction to this event? What kinds of resources would you refer them to in their times of need (you can make some up)?
Section 2.5 DMH Services of Air Force Instruction (AFI) 44-153, may help you in answering part of this assignment.
Explain why zoning laws, which allow certain land uses only in specific locations, might be justified in dealing with a problem of negative externalities. Explain why tax breaks to businesses that set up in areas of high unemployment might be justified in view of positive externalities. Explain why excise taxes on beer might be justified in dealing with a problem of external costs.
Explain why zoning laws, which allow certain land uses only in specific locations, might be justified in dealing with a problem of negative externalities. Explain why tax breaks to businesses that set up in areas of high unemployment might be justified in view of positive externalities. Explain why excise taxes on beer might be justified in dealing with a problem of external costs.
You are a public health scientist and informatician assigned to lead a team of environmental specialists investigating an outbreak of lead poisoning in a small community. The suspicion is that the lead poisoning has been caused by pollution generated by a large commercial plant that produces paints under a federal contract. The community water sources have been contaminated with the plant waste. Your assigned task is to organize your team and lead a surveillance investigation. You must meet with the communitys elected leaders to discuss the outbreak, present preliminary outbreak data, and explain how your team will proceed with its investigation (OCarroll, Yasnoff, Ward, & Ripp, 2010).
You are a public health scientist and informatician assigned to lead a team of environmental specialists investigating an outbreak of lead poisoning in a small community. The suspicion is that the lead poisoning has been caused by pollution generated by a large commercial plant that produces paints under a federal contract. The community water sources have been contaminated with the plant waste. Your assigned task is to organize your team and lead a surveillance investigation. You must meet with the communitys elected leaders to discuss the outbreak, present preliminary outbreak data, and explain how your team will proceed with its investigation (OCarroll, Yasnoff, Ward, & Ripp, 2010).
Write a 2-3 page in MS-Word about SOME OF (but not ALL OF) these aspects from Chp 1-4 of the text, on this new app you downloaded: Techno-fixation Haptic Interface Multi-Modality Emotional Impact Economical Impact
. Download some new app onto your mobile device that you’ve heard about (if you do not have a mobile phone call me and we’ll come up with an alternative), and then you will
2. Write a 2-3 page in MS-Word about SOME OF (but not ALL OF) these aspects from Chp 1-4 of the text, on this new app you downloaded:
Techno-fixation
Haptic Interface
Multi-Modality
Emotional Impact
Economical Impact
Safety-critical situations
Usability
User Experience
Interaction as Brand
Interaction as Package
technology acceptance
Innovation
Building on Past Success
Designing the Interaction
Platform Design
Prototyping
Include citations. .
Thyme Herbal Plant Research Term Project, Part 3: Folklore, Myths and Superstitions Now it is time to research the folklore, myths and stories that have built up around your chosen herb. This is fun and often very colorful, but has a serious side to it as well. To critically think, you must be able to separate entertaining and possibly traditional cultural practices from serious fact-based effectiveness. Include: Short introduction Stories, Myths, Superstitions about your chosen plant Identify clearly the cultural origin of the story
Thyme Herbal Plant Research Term Project, Part 3: Folklore, Myths and Superstitions
Now it is time to research the folklore, myths and stories that have built up around your chosen herb. This is fun and often very colorful, but has a serious side to it as well. To critically think, you must be able to separate entertaining and possibly traditional cultural practices from serious fact-based effectiveness.
Include:
Short introduction
Stories, Myths, Superstitions about your chosen plant
Identify clearly the cultural origin of the story
Include pictures as illustrations. Make sure they are integrated nicely in the text, not separate or all at the end. Also make sure they are an appropriate size.
include the word count please.
Include your reference citations
