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This is a research methods class proposal paper. I would like to answer
exam que
This is a research methods class proposal paper. I would like to answer exam question #1,
below.With the increase in the number of states that have legalized marijuana for medical
andrecreational purposes, the Department of Justice (DOJ) has released forthcoming
fundingopportunities regarding the impact of legalizingmarijuana on crime. You want to
submit yourproposal to the DOJ, and your proposal must include both quantitative and
qualitative elements.In your proposal, you should clearly state:a. A statement of purpose for
the study.b. An abbreviated literature review (include at least 7 sources).c. The research
hypothesis (or hypotheses).d. The unit of analysis and sampling method.e. The dependent
and independent variables and how they will be conceptualized andoperationalized.f.
Describe which components of the design are quantitative and which are qualitative.g.
Describe the statistical technique(s) that you will utilize in the analysis and explain whythe
technique(s)was/were chosen and how the technique(s) is the most
appropriateapproach.h. The strengths (two) and weaknesses (two) of the research design
you have chosen.Exam question should be treated like a stand-alone research paper with a
reference page. There is no page limitbut submitting a short answer is HIGHLY discouraged
as you typically need 8-12 double-spaced pages (with Times Roman 12 point font) to
properly answer EACH section question.The exam questions are not asking for youropinion
but for you to demonstrate command of the academic literature. We encourage you to
support youranswers with peer-reviewed journal articles published in the last five years.
On occasion, you may need to cite a historic source; however, the bulk of your referenced
materials should be from the last five years.

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Steps For Designing And Development Of Protocol

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CJ 550 Module Three Activity Guidelines and Rubric Overview: Understanding how data is collected is an important aspect of ensuring a research project’s or experiment’s overall validity. Research ethics is an integral part of any valid research finding. This research will potentially have a major impact on your decision as a leader within the criminal justice organization where you are employed. Therefore, it is vital to ensure proper findings by ethical data collection to minimize liability in your decisions. Prompt: Read the following real-world case study: The Kansas City Preventive Patrol Experiment. Then, read the following information on predictive policing: Evaluation of the Shreveport Predictive Policing Experiment. Think about the research and data collection methods used in both studies. Compare and contrast both methods. Identify ways in which the findings of the research experiments could be vulnerable to liability. Suggest alternative methods to minimize liability in the research findings. If no vulnerabilities can be identified, explain how the methods used in the research experiment preserved ethical and accurate findings. Specifically, the following critical elements must be addressed:  Compares and contrasts the data collection methods of two case studies  Identifies the vulnerabilities of the research findings and/or explains if methods used preserved ethical and accurate findings  Suggests alternative methods to limit liabilities Guidelines for Submission: Your paper must be submitted as a 2- to 3-page Microsoft Word document with double spacing, 12-point Times New Roman font, one-inch margins, and at least three sources cited in APA format. Critical Elements Exemplary (100%) Proficient (90%) Needs Improvement (70%) Not Evident (0%) Value Data Meets “Proficient” criteria and provides an exceptionally detailed comparison and contrast for the data collection of the two case studies Compares and contrasts the data collection methods of two case studies Compares and contrasts the data collection methods of two case studies but comparison lacks details Does not compare or contrast the data collection methods of two case studies 30 Vulnerabilities Meets “Proficient” criteria and provides exceptional detail in identifying the vulnerabilities of the research findings and/or explaining if methods used preserved ethical and accurate findings Identifies the vulnerabilities of the research findings and/or explains if methods used preserved ethical and accurate findings Identifies the vulnerabilities of the research findings and/or explains if methods used preserved ethical and accurate findings but explanation lacks details Does not identify the vulnerabilities nor explain if methods used preserved ethical and accurate findings of the research findings 30 Methods Meets “Proficient” criteria and provides exceptional details for suggesting alte ...

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Assessment Information Subject Code: BUS605 Subject Name: Business Research Methodology and Data Collection Assessment Title: Assessment 3 – Hypotheses testing (Individual Written Report) Weighting: 35 % Total Marks: Length: 35 2500 (+- 10%) Due Date: Submission due Week 12 – Sunday at 11.59 pm COURSE: Master of Business (Research) Unit: Business Research Methodology and Data Collection Unit Code: BUS605 Type of Assessment: Assessment 3 – Individual Written Report Unit Learning Outcomes addressed: (a) Demonstrate an advanced ability to identify, assimilate, and review applications of, particular research techniques. (b) Identify various means of data collection that are feasible and can be ethically enacted. (c) Articulate and critically evaluate differences between alternative research methodologies. (d) Explain how research outcomes may be affected by the nature and application of particular research techniques. (e) Demonstrate an advanced ability to construct a robust methodology for addressing a research question. (f) Explain how the use of selected methodologies is relevant to a specific research proposal. Criteria for Assessment:  Preliminary analysis  Hypothesis testing and data analysis  Interpretation of findings  Academic writing Submission Date: Week 12 Sunday at 11.59 pm Total Mark & Weighting: 35 marks | 35% Students are advised that any submissions past the due date without an approved extension or approved extenuating circumstances incur a 5% penalty per calendar day, calculated from the total mark e.g. a task marked out of 15 will incur a 1.75-mark penalty per calendar day. Task description Scenario Uber, a ridesharing service company has recently entered the Nepalese market, and its service has been received by some people. Like any product or service, customers’ adoption and usage are essential for the survival of the firm. Thus, like any other services, there might many factors that have influenced riders to adopt and use Uber services. However, from the existing literature, empirical studies on factors determining ridesharing service adoption is scarce, especially in emerging economies. Thus, a study is being conducted to address this gap in the literature. The social exchange theory forms the basis of the study. The researcher designed the research model shown in figure 1 and developed hypotheses H1-H5(see below the research model). Based on the research model shown in figure 1, data was collected from some Uber riders in Nepal. The data is available in Exo (see Week 12 folder). Figure1: Research Model Hypotheses(H) H1: Consumer need for prestige has a positive effect on riders’ continuous usage intentions H2: Trust has a positive effect on riders’ continuous usage intentions H3: Customer return investment has a positive effect on riders’ continuous usage intentions H4: Convenience has a p.

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Chap3

1 2 Levels of Measurement Name Institutional affiliation Professor Course Date Levels of Measurement Levels of measurement consist of interval, ordinal, ratio, and nominal. Nominal is the lowest level where there is no representation of mathematical variables. For instance, when measuring the gender population in rehabilitation centers with more males than females, nominal variables would be more than the real number of individuals in rehabilitation centers. On the other hand, ordinal measurement is a level where there is a ranking of variables in an orderly way (Vaske, 2019). For instance, a researcher may use the Likert scale to survey people in a community through the agree-strongly disagree method at the end of a meeting. In this case, the survey is rank-ordered to show how effective the meeting was relative to survey results. Additionally, an interval is a level of measurement where variables have meaningful values with the same space between the values. The space is vital in the data collected because zero has no basic value in this measurement. In this case, one can use interval measurements to track substance abusers between two diverse age groups. Hence, the data is essential in understanding what situations can cause people to abuse substances. Finally, the ratio is the measurement level where variables have meaningful value with the same space between the values but have no true value of zero. Hence, a ratio level is countable. In this case, ratio and interval measurements would be the best levels to gather information on the number of substance abusers in a given year by combining them to compare the information. When one wants to gather data in the criminal justice system, I think these levels would apply to any researcher on a study. However, not all measurement levels are compatible since wrong measurement levels can skew outcomes. Reference Vaske, J. J. (2019). Survey research and analysis. Sagamore-Venture. 1807 North Federal Drive, Urbana, IL 61801. · Grade for Deliverable 3 100% of total grade A - 4 - Mastery 4 B - 3 - Proficiency 3 C - 2 - Competence 2 F - 1 - No Pass 1 I - 0 - Not Submitted 0 · Criterion 1 0% of total grade A - 4 - Mastery Clearly stated, detailed description of all of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; method(s)/design; the theoretical framework; research objectives, questions, and hypotheses. 0 B - 3 - Proficiency Thorough description of most of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; method(s)/design; the theoretical framework; research objectives, questions, and hypotheses. 0 C - 2 - Competence Basic description of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; met ...

12Levels of MeasurementNameInstitutional

12Levels of MeasurementNameInstitutional

12Levels of MeasurementNameInstitutional

1 2 Levels of Measurement Name Institutional affiliation Professor Course Date Levels of Measurement Levels of measurement consist of interval, ordinal, ratio, and nominal. Nominal is the lowest level where there is no representation of mathematical variables. For instance, when measuring the gender population in rehabilitation centers with more males than females, nominal variables would be more than the real number of individuals in rehabilitation centers. On the other hand, ordinal measurement is a level where there is a ranking of variables in an orderly way (Vaske, 2019). For instance, a researcher may use the Likert scale to survey people in a community through the agree-strongly disagree method at the end of a meeting. In this case, the survey is rank-ordered to show how effective the meeting was relative to survey results. Additionally, an interval is a level of measurement where variables have meaningful values with the same space between the values. The space is vital in the data collected because zero has no basic value in this measurement. In this case, one can use interval measurements to track substance abusers between two diverse age groups. Hence, the data is essential in understanding what situations can cause people to abuse substances. Finally, the ratio is the measurement level where variables have meaningful value with the same space between the values but have no true value of zero. Hence, a ratio level is countable. In this case, ratio and interval measurements would be the best levels to gather information on the number of substance abusers in a given year by combining them to compare the information. When one wants to gather data in the criminal justice system, I think these levels would apply to any researcher on a study. However, not all measurement levels are compatible since wrong measurement levels can skew outcomes. Reference Vaske, J. J. (2019). Survey research and analysis. Sagamore-Venture. 1807 North Federal Drive, Urbana, IL 61801. · Grade for Deliverable 3 100% of total grade A - 4 - Mastery 4 B - 3 - Proficiency 3 C - 2 - Competence 2 F - 1 - No Pass 1 I - 0 - Not Submitted 0 · Criterion 1 0% of total grade A - 4 - Mastery Clearly stated, detailed description of all of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; method(s)/design; the theoretical framework; research objectives, questions, and hypotheses. 0 B - 3 - Proficiency Thorough description of most of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; method(s)/design; the theoretical framework; research objectives, questions, and hypotheses. 0 C - 2 - Competence Basic description of the steps or elements of the study, and includes: purpose; the problem including significance and background; relevancy of the literature reviewed; met ...

12Levels of MeasurementNameInstitutional

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ChantellPantoja184

Question 1 A national intelligence analyst is attempting to determine a timeline for when political uprisings in Iran will reach a tipping point leading to the overthrow of the government. Which characteristic of this complex system will prevent her from establishing an accurate timeline? A. Adaptation B. Nonlinearity C. Unpredictability D. Bottom-up Emergence Question 2 Following a very public, embarrassing failure, an intelligence organization worked hard to poll the needs, interests, and perspectives of its members in order to design a new conflict management system. The system worked very well until changes in the security environment forced changes the working conditions of its members, requiring more time away from home for work, lowering expense accounts, and reducing off-site advanced training opportunities. The organization’s members began complaining that their conflict management system no longer met their needs. What went wrong with the system that was established after the failure? A. The organization’s members spent too much time away from home working and not enough time training, which led to a decline in the overall readiness of the organization to meet new challenges B. The organization’s leadership did not sufficiently involved the organizations members in the conflict management system design process, which led to a lack of commitment on the members’ part C. Nothing went wrong. All functioning organizations are living entities in a constant state of change whose conflict management systems must be adapted to meet the demands of new conditions D. Nothing went wrong. Organizations are only as good as the people in it, so that went the its members develop a sense of entitlement the organization will see its conflict management system fail Question 3 An analyst is faced with a complex intelligence problem and he is concerned about avoiding “mission creep”. To make sure he is focus on the core issue, he rephrases that problem several times, asking “why” and “how” until he is satisfied he understands the parameters of the question he is trying to answer. He takes a broad perspective on the issue to see where it might connect to other related issues, and then a narrow perspective to see how far he can break it down into its component parts. He redirects his focus from seeing the issue as identifying threats to seeing it as identifying opportunities to counter threats. Finally, he restates the problem in its exact opposite terms to explore other ways of seeing the issue. What structured analytic technique is he using? A. Issue redefinition B. Sorting C. Processing mapping D. Concept mapping Question 4 Analysts might use Microsoft Project to model a complex procedure using a matrix that cross references tasks in a process by estimated time periods required for each task. What is the name of this structured analytic technique? A. Delphi analysis chart B. Gantt chart C. Network analysis chart D. Timeline Question ...

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Your final project for this course will be a patient record analysis. You will apply the knowledge of anatomy, physiology, and pharmacology that you have developed during this course in a thorough review of existing patient information. Specifically, you will review a patient’s history and a discharge chart from a recent physician visit, explaining the reasons behind diagnosis or (diagnoses) based on documented symptoms. You will also cite any inconsistencies or concerns and discuss potential and current treatments, all in preparation for your future coding practices. It may seem unnecessary to learn so much about pathophysiology and pharmacology for a career in health information management, but such knowledge is essential in ensuring the accuracy of patient records, coding, and billing. The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Five. The final product will be submitted in Module Seven. In this assignment, you will demonstrate your mastery of the following course outcomes: · Analyze the pathophysiology of commonly diagnosed health conditions for anticipating the pharmacological needs of patients · Differentiate between common health conditions that present similar symptoms using evidence - based resources for ensuring accurate patient health records · Analyze standard pharmacological groupings and their specific drugs for their uses in treating patient symptoms and diseases · Integrate foundational concepts of anatomy, physiology, and medical terminology into the analysis of symptoms, diagnosis, and treatment options for informing accurate coding practices Prompt Your patient analysis should answer the following prompt Using the provided Final Project Patient File (attached), critically analyze the patient’s medical and family history and dissect the discharge chart from the patient’s recent visit. There are several inaccuracies and inconsistencies in this patient file; the pages of the file that contain issues are marked in the upper right - hand corner with red bookmarks. You must identify a total of three true issues with the patient file, explain what makes each identified issue a true issue, and discuss how you would approach addressing each issue in a real professional setting. Specifically, the following critical elements must be addressed: I. Patient History Analysis a) Summarize the patient history , explaining key patient demographics and family history that could be risk factors for common diseases. b) Identify the past diagnosis (or diagnoses, if more than one exists in the file) and explain how the diagnosis was made. Specifically, what tests were done? c) Discuss the symptoms the patient showed according to the file. Why and how did these symptoms lead the doctors to order certain tests? d) What alternate diagnosis (or diagnose.

Your final project for this course will be a patient record analysis.docx

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Your final project for this course will be a patient record analysis. You will apply the knowledge of anatomy, physiology, and pharmacology that you have developed during this course in a thorough review of existing patient information. Specifically, you will review a patient’s history and a discharge chart from a recent physician visit, explaining the reasons behind diagnosis or (diagnoses) based on documented symptoms. You will also cite any inconsistencies or concerns and discuss potential and current treatments, all in preparation for your future coding practices. It may seem unnecessary to learn so much about pathophysiology and pharmacology for a career in health information management, but such knowledge is essential in ensuring the accuracy of patient records, coding, and billing. The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Five. The final product will be submitted in Module Seven. In this assignment, you will demonstrate your mastery of the following course outcomes: · Analyze the pathophysiology of commonly diagnosed health conditions for anticipating the pharmacological needs of patients · Differentiate between common health conditions that present similar symptoms using evidence - based resources for ensuring accurate patient health records · Analyze standard pharmacological groupings and their specific drugs for their uses in treating patient symptoms and diseases · Integrate foundational concepts of anatomy, physiology, and medical terminology into the analysis of symptoms, diagnosis, and treatment options for informing accurate coding practices Prompt Your patient analysis should answer the following prompt Using the provided Final Project Patient File (attached), critically analyze the patient’s medical and family history and dissect the discharge chart from the patient’s recent visit. There are several inaccuracies and inconsistencies in this patient file; the pages of the file that contain issues are marked in the upper right - hand corner with red bookmarks. You must identify a total of three true issues with the patient file, explain what makes each identified issue a true issue, and discuss how you would approach addressing each issue in a real professional setting. Specifically, the following critical elements must be addressed: I. Patient History Analysis a) Summarize the patient history , explaining key patient demographics and family history that could be risk factors for common diseases. b) Identify the past diagnosis (or diagnoses, if more than one exists in the file) and explain how the diagnosis was made. Specifically, what tests were done? c) Discuss the symptoms the patient showed according to the file. Why and how did these symptoms lead the doctors to order certain tests? d) What alternate diagnosis (or diagnose.

Your final project for this course will be a patient record analysis.docx

Your final project for this course will be a patient record analysis.docx

Your final project for this course will be a patient record analysis.docx

Answer questions Minimum 100 words each and reference (questions #1-2) KEEP questions WITH ANSWER 1. A key point to get out of this topic is the idea that these errors are theoretical. You won't be sure as to whether one occurred or not. Why are they theoretical in nature? Hint: think about a study and knowing the "truth" 2. Pick a study of interest and identify the null and alternative hypothesis. How does this fit in with regards to the topic of a type I and type II error? Always keep this in mind when you are trying to identify what a type I and type II error are. A minimum of 75 words each question and References (IF NEEDED)(Response #1 – 7) KEEP RESPONSE WITH ANSWER Make sure the Responses includes the Following: (a) an understanding of the weekly content as supported by a scholarly resource, (b) the provision of a probing question. (c) stay on topic 1) According to the reading, we set the alpha which is the largest probability for type I error. To increase the power of a hypothesis researchers can use larger samples which provides more information and raise the significance level which increases the probability that the hypothesis will be rejected. 2) A Type 1 error occurs when individuals involved in research make the decision to reject the belief of truth when in actuality the hypothesis is true. Type 1 errors are errors in research when the researcher makes the wrong decision to reject a true null hypothesis. Type II errors are considered less of a problem than Type 1 errors, but can prove to be detrimental in the field of medicine. This type of error occurs when researchers decide to keep a false null hypothesis, when in fact the hypothesis is true. The method to avoid making Type 1 decisions is to test the null hypothesis at the highest level (Alpha Level). This will lessen the possibilities of making this type of error (Privitera, 2018). 3) According to Privitera (2018) a type 1 error is the probability of rejecting a null hypotheses that is actually true, researchers purposely make this error. A null hypotheses is a statement about a population parameter that is assumed to be true, this hypotheses is a starting point (Privitera, 2018). The type 2 error or beta error is the probability of retaining a null hypotheses that is actually false (Privitera, 2018). The type 1 error is committed when a researcher decides to reject previous notions of truth that are in fact true (Privitera, 2018). The best way to avoid these types of errors is to be open minded and not reject notions if there is fact to back the notions up. In my opinion a type 1 error is something committed with bias by the researcher. I say this because as a researcher it is their job to find all facts or at least most all facts and apply them to their study or research, especially if they commit a type one error knowingly. If a researcher does this error then they are not following through with basic research guidelines. 4) A one-tailed test is used in a hypothesi.

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Networking in the Penumbra presented by Geoff Huston at NZNOG

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On Starlink, presented by Geoff Huston at NZNOG 2024

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