Ch6 presentation

•Transferir como PPT, PDF•

0 gostou•209 visualizações

R

ETEC 5302 Presentation

Chapter 6: Modeling Problems by Alex Calloway , Ray Bandas & Sabina Maza

Chapter Summary ,[object Object]

,[object Object],[object Object]

Modeling Tools can be used to model population growth, such as colonies after a hurricane, or citizens in a new country. Visualization tools can be used to graph things such as the descent of a shuttle, or the setting of the sun. Systems modeling tools are especially effective for modeling problems because learners can test their models for accuracy. Jonassen again uses the example of a molar conversion problem in chemistry in the text. An additional example of a systems modeling tool could track the new citizens in a country. Finally, visualization tools are helpful for modeling abstract concepts like mathematic problems. Visualization can be used to plot the descent of a shuttle or the setting of the sun.

,[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Semelhante a Ch6 presentation

Data science notes for ASDS calicut 2.pptx

Data science notes for ASDS calicut 2.pptx

Data science notes for ASDS calicut 2.pptx

Not sure how to do this case analysis please help me do it! 1.Are the regions similar? 2.What would be a good forecasting method to use? 3.Are there more advanced methods that might be considered? Here is the data https://docs.google.com/spreadsheets/d/1LYZHLx9f0Av9FJ6NLfULMU61cZPV3voqrVzbJNfV jKk/edit?usp=sharing Solution Most people view the world as consisting of a large number of alternatives. Futures research evolved as a way of examining the alternative futures and identifying the most probable. Forecasting is designed to help decision making and planning in the present. Forecasts empower people because their use implies that we can modify variables now to alter (or be prepared for) the future. A prediction is an invitation to introduce change into a system. There are several assumptions about forecasting: 1. There is no way to state what the future will be with complete certainty. Regardless of the methods that we use there will always be an element of uncertainty until the forecast horizon has come to pass. 2. There will always be blind spots in forecasts. We cannot, for example, forecast completely new technologies for which there are no existing paradigms. 3. Providing forecasts to policy-makers will help them formulate social policy. The new social policy, in turn, will affect the future, thus changing the accuracy of the forecast. Many scholars have proposed a variety of ways to categorize forecasting methodologies. The following classification is a modification of the schema developed by Gordon over two decades ago: Genius forecasting - This method is based on a combination of intuition, insight, and luck. Psychics and crystal ball readers are the most extreme case of genius forecasting. Their forecasts are based exclusively on intuition. Science fiction writers have sometimes described new technologies with uncanny accuracy. There are many examples where men and women have been remarkable successful at predicting the future. There are also many examples of wrong forecasts. The weakness in genius forecasting is that its impossible to recognize a good forecast until the forecast has come to pass. Some psychic individuals are capable of producing consistently accurate forecasts. Mainstream science generally ignores this fact because the implications are simply to difficult to accept. Our current understanding of reality is not adequate to explain this phenomena. Trend extrapolation - These methods examine trends and cycles in historical data, and then use mathematical techniques to extrapolate to the future. The assumption of all these techniques is that the forces responsible for creating the past, will continue to operate in the future. This is often a valid assumption when forecasting short term horizons, but it falls short when creating medium and long term forecasts. The further out we attempt to forecast, the less certain we become of the forecast. The stability of the environment is the key factor in determining whether tren.

Not sure how to do this case analysis please help me do it!1.Are t.pdf

Not sure how to do this case analysis please help me do it!1.Are t.pdf

Not sure how to do this case analysis please help me do it!1.Are t.pdf

CHAPTER 8 QUANTITATIVE METHODS We turn now from the introduction, the purpose, and the questions and hypotheses to the method section of a proposal. This chapter presents essential steps in designing quantitative methods for a research proposal or study, with specific focus on survey and experimental designs. These designs reflect postpositivist philosophical assumptions, as discussed in Chapter 1. For example, determinism suggests that examining the relationships between and among variables is central to answering questions and hypotheses through surveys and experiments. In one case, a researcher might be interested in evaluating whether playing violent video games is associated with higher rates of playground aggression in kids, which is a correlational hypothesis that could be evaluated in a survey design. In another case, a researcher might be interested in evaluating whether violent video game playing causes aggressive behavior, which is a causal hypothesis that is best evaluated by a true experiment. In each case, these quantitative approaches focus on carefully measuring (or experimentally manipulating) a parsimonious set of variables to answer theory-guided research questions and hypotheses. In this chapter, the focus is on the essential components of a method section in proposals for a survey or experimental study. DEFINING SURVEYS AND EXPERIMENTS A survey design provides a quantitative description of trends, attitudes, and opinions of a population, or tests for associations among variables of a population, by studying a sample of that population. Survey designs help researchers answer three types of questions: (a) descriptive questions (e.g., What percentage of practicing nurses support the provision of hospital abortion services?); (b) questions about the relationships between variables (e.g., Is there a positive association between endorsement of hospital abortion services and support for implementing hospice care among nurses?); or in cases where a survey design is repeated over time in a longitudinal study; (c) questions about predictive relationships between variables over time (e.g., Does Time 1 endorsement of support for hospital abortion services predict greater Time 2 burnout in nurses?). An experimental design systematically manipulates one or more variables in order to evaluate how this manipulation impacts an outcome (or outcomes) of interest. Importantly, an experiment isolates the effects of this manipulation by holding all other variables constant. When one group receives a treatment and the other group does not (which is a manipulated variable of interest), the experimenter can isolate whether the treatment and not other factors influence the outcome. For example, a sample of nurses could be randomly assigned to a 3-week expressive writing program (where they write about their deepest thoughts and feelings) or a matched 3-week control writing program (writing about the facts of their daily morning routine) to eval ...

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

06279 Topic: PSY 325 Statistics for the Behavioral & Social Sciences Number of Pages: 2 (Double Spaced) Number of sources: 3 Writing Style: APA Type of document: Essay Academic Level:Undergraduate Category: Art Language Style: English (U.S.) Order Instructions: Attached follow the requirements in the attached. Running Head: ERM 1 ERM 4 ERM Institution Affiliation Student Name Date Mapping ENTERPRISE RISK MANAGEMENT IN HEALTHCARE A CLEARLY DEFINED STRATEGY WILL ENABLE THE EFFECTIVE IMPLEMENTATION OF ERM COMMUNICATION BETWEEN THE EMPLOYEE AND THE EMPLOYER IS IMPORTANT WHEN IMPLEMENTING ERM IN HEALTHCARE ORGANIZATIONS THE HEALTHCARE CULTURE AFFECTS THE IMPLEMENTATION OF ERM a. Culture 1. The healthcare organization culture should support the Enterprise risk management strategy. 2. Organizations that adopt cultures for example unfairness, fear and allow disruptive behaviour are not ready for the implementation of ERM. b. Strategy 1. A defined strategy will enable the implementation of ERM. 2. Strategic plan in the healthcare industry should cover six months to two years. c. Communication 1. For effective implementation of ERM communication and education plan is important 2. The employees need to be educated on ERM. Creating a connection Culture For the Enterprise Risk management to be implemented in the healthcare one of the key elements to consider is the culture of the organization. The governing body should ensure that the culture of the company will support the ERM program, (Meulbroek, 2017). If the healthcare engages in tactics that are not favorable to a learning environment, practice fear, employees are not treated fair and just. That means that the company is are not ready for the ERM program. The implications will be that ERM program will fail. Strategy A well-defined strategy or plan will be effective in the implementation of the ERM program. A strategy is a long-term plan that is used to achieve a particular set goal or objective. Historically, companies used to draft 5 years to 10 years’ strategic plan. However, today due to the rapid shift and complexity of the healthcare industry strategies cover six months to two years, (Olson & Wu, 2015). If the healthcare does not set a clear and well defined strategy. Then the implementation of ERM will fail. Communication Before the implementation of ERM, it is important to educate employees about the program. Communication and information channel should be in place to ensure that everyone in the company is well aware of the risks and the actions needed to be taken to mitigate the risk, (Carroll, 2016). The communication channel will also enable employees to be updated on the program progress. If the healthcare employees are not trained and proper channels of communication are not used then the implications or there is a high possibility that implementation of ERM will fail. .

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

oswald1horne84988

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

Multivariate Approaches in Nursing Research Assignment.pdf

Multivariate Approaches in Nursing Research Assignment.pdf

Multivariate Approaches in Nursing Research Assignment.pdf

D1804011824

Machine learning can be applied through the development of algorithms that can unravel or "learn" complex associations in large datasets with limited human input. These algorithms are capable of making predictions that go beyond our capabilities as humans and they can process and analyze more possibilities. Machine learning may help us find answers to questions that we didn't even think of in the past, revealing evidence previously hidden among the data. We can use these methods to dig up imperceptible patterns and allow health technologies to be used at the right time and for the right patient population. (A4 Version)

Machine Learning and the Value of Health Technologies

Machine Learning and the Value of Health Technologies

Machine Learning and the Value of Health Technologies

Statistical modeling in pharmaceutical research and development

Statistical modeling in pharmaceutical research and development

Statistical modeling in pharmaceutical research and development

#Mahmoud_Bahgat #Marketing_Club Join us by WhatsApp to me 00966568654916 *اشترك في صفحة ال Marketing Club* عالفيسبوك https://www.facebook.com/MarketingTipsPAGE/ *اشترك في جروب ال Marketing Club* عالفيسبوك https://www.facebook.com/groups/837318003074869/ *Marketing Club Middle East* 25 Meetings in 6 Cities in 1 year & 2 months Since October 2015 *We have 6 groups whatsapp* *for almost 600 marketers* From all middle east *since 5 years* & now 10 more groups For Marketing Club Lovers as future Marketers أهم حاجة الشروط *Only marketers* From all Industries No students *No sales* *No hotels Reps* *No restaurants Reps* *No Travel Agents* *No Advertising Agencies* *Many have asked to Attend the Club* ((We Wish All can Attend,But Cant..)) *Criteria of Marketing Club Members* ••••••••••••••••••••••••••••••••••••• For Better Harmony & Mind set. *Must be only Marketer* *Also Previous Marketing experience* ●Business Managers ●Country Manager,GM ●Directors, CEO Are most welcomed to add Value to us. ■■■■■■■■■■■■■■■■ 《 *Unmatched Criteria*》 Not Med Rep, Not Key Account, Not Product Specialist, Not Sales Supervisor, Not Sales Manager, ●●●●●●●●●●●●●●●●●● But till you become a marketer you can join other What'sApp group *Marketing Lover Future Club Group* ■■■■■■■■■■■■■■■■ 《 *Unmatched Criteria*》 For Conflict of Intrest *Also Can't attend* If Working in *Marketing Services Provider* =not *Hotel* Marketers =not *Restaurant* Marketers =not *Advertising* Marketer =not *Event Manager* =not *Market Researcher*. ■■■■■■■■■■■■■■■■ ■■■■■■■■■■■■■■■■ *this Club for Only Marketers* Very Soon we will have *Business Leaders Club* For Sales Managers & Directors Will be Not for Markters ●●●●●●●●●●●●●●●●●●●● ■ *Only Marketers* ■ *& EPS Marketing Diploma* ●●●●●●●●●●●●●●●●●●●● Confirm coming by Pvt WhatsApp *To know the new Location* *#Mahmoud_Bahgat* 00966568654916 *#Marketing_Club* http://goo.gl/forms/RfskGzDslP *اشترك بصفحة جمعية الصيادلة المصريين* عالفيسبوك https://lnkd.in/fucnv_5 ■ *Bahgat Facbook Page* https://lnkd.in/fVAdubA ■ *Bahgat Linkedin* https://lnkd.in/fvDQXuG ■ *Bahgat Twitter* https://lnkd.in/fmNC72T ■ *Bahgat YouTube Channel* https://www.Youtube.com /mahmoud bahgat ■ *Bahgat Instagram* https://lnkd.in/fmWPXrY ■ *Bahgat SnapChat* https://lnkd.in/f6GR-mR *#Mahmoud_Bahgat* *#Legendary_ADLAND* www.TheLegendary.info

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

Original Work, NO PLAGERIESM, Cite Reference, References, 100 words https://www.kff.org/disparities-policy/issue-brief/beyond-health-care-the-role-of-social-determinants-in-promoting-health-and-health-equity/ Read article and just in your own words comment on your thoughts regarding the article. 192177 by Elbert Washington FILE T IME SUBMIT T ED 28- DEC- 2017 12:25PM WORD COUNT 11857 CHARACT ER COUNT 6537 3 DRAFT _19217 7 .DOCX (27 8.99K) %5 SIMILARIT Y INDEX EXCLUDE QUOT ES ON EXCLUDE BIBLIOGRAPHY ON 192177 ORIGINALITY REPORT 192177 WRITECHECK REPORT PAGE 1 PAGE 2 PAGE 3 PAGE 4 PAGE 5 PAGE 6 PAGE 7 PAGE 8 PAGE 9 PAGE 10 PAGE 11 PAGE 12 PAGE 13 PAGE 14 PAGE 15 PAGE 16 PAGE 17 PAGE 18 PAGE 19 PAGE 20 PAGE 21 PAGE 22 PAGE 23 PAGE 24 PAGE 25 PAGE 26 PAGE 27 PAGE 28 PAGE 29 PAGE 30 PAGE 31 PAGE 32 PAGE 33 PAGE 34 PAGE 35 PAGE 36 PAGE 37 PAGE 38 PAGE 39 PAGE 40 PAGE 41 PAGE 42 PAGE 43 PAGE 44 PAGE 45 192177by Elbert Washington192177ORIGINALITY REPORT192177WRITECHECK REPORT How to conduct meta-analysis: A Basic Tutorial Arindam Basu University of Canterbury May 12, 2017 Concepts of meta-analyses Meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn- thesis (Normand, 1999). Meta analysis is essentially systematic review; however, in addition to narrative summary that is conducted in systematic review, in meta analysis, the analysts also numerically pool the results of the studies and arrive at a summary estimate. In this paper, we discuss the key steps of conducting a meta analysis. We intend to discuss the steps of a simple meta analysis with a demonstration of the key steps from a published paper on meta analysis and systematic review of the effectiveness of salt restricted diet on blood pressure control. This paper is a basic introduction to the process of meta-analysis. In subse- quent papers in this series, we will discuss how you can conduct meta analysis of diagnostic and screening studies, and principles of network meta analyses, where you can conduct a meta analysis with more than one intervention or exposure variable. Nine Steps to Meta Analyses We recommend in general the following nine steps of meta analysis. These nine steps are in general applicable to all meta-analyses. 1. Frame a question (based on a theory) 2. Run a search (on Pubmed/Medline, Google Scholar, other sources) 3. Read the abstract and title of the individual papers. 4. Abstract information from the selected set of final articles. 5. Determine the quality of the information in these articles. This is done using a judgment of their internal validity but also using the GRADE criteria 6. Determine the extent to which these articles are heterogeneous 7. Estimate the summary effect size in the form of Odds Ratio and using both fixed and random effects .

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Correlation and Regression Study.docx

Correlation and Regression Study.docx

Correlation and Regression Study.docx

Statistical Methods in Psychology Journals Guidelines and Explanations Leland Wilkinson and the Task Force on Statistical Inference APA Board of Scientific Affairs n the light of continuing debate over the applications of significance testing in psychology journals and following the publication of Cohen's (1994) article, the Board of Scientific Affairs (BSA) of the American Psychological Association (APA) convened a committee called the Task Force on Statistical Inference (TFSI) whose charge was "to elucidate some of the controversial issues surrounding applications of statistics including significance testing and its alternatives; alternative underlying models and data transformation; and newer methods made possible by powerful computers" (BSA, personal communication, February 28, 1996). Robert Rosenthal, Robert Abelson, and Jacob Co- hen (cochairs) met initially and agreed on the desirability of having several types of specialists on the task force: statisticians, teachers of statistics, journal editors, authors of statistics books, computer experts, and wise elders. Nine individuals were subsequently invited to join and all agreed. These were Leona Aiken, Mark Appelbaum, Gwyneth Boo- doo, David A. Kenny, Helena Kraemer, Donald Rubin, Bruce Thompson, Howard Wainer, and Leland Wilkinson. In addition, Lee Cronbach, Paul Meehl, Frederick Mosteller and John Tukey served as Senior Advisors to the Task Force and commented on written materials. The TFSI met twice in two years and corresponded throughout that period. After the first meeting, the task force circulated a preliminary report indicating its intention to examine issues beyond null hypothesis significance testing. The task force invited comments and used this feed- back in the deliberations during its second meeting. After the second meeting, the task force recommended several possibilities for further action, chief of which would be to revise the statistical sections of the American Psychological Association Publication Manual (APA, 1994). After extensive discussion, the BSA recommended that "before the TFSI undertook a revision of the APA Publication Manual, it might want to consider publishing an article in American Psychologist, as a way to initiate discussion in the field about changes in current practices of data analysis and reporting" (BSA, personal communication, November 17, 1997). This report follows that request. The sections in italics are proposed guidelines that the TFSI recommends could be used for revising the APA publication manual or for developing other BSA supporting materials. Following each guideline are comments, explanations, or elaborations assembled by Leland Wilkinson for the task force and under its review. This report is concerned with the use of statistical methods only and is not meant as an assessment of research methods in general. Psychology is a broad science. Methods appropriate in one area may be inappro- priate in another. The t.

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Week 9 Data Analysis Resources Readings Yegidis, B. L., Weinbach, R. W., & Myers, L. L. (2018). Research methods for social workers (8th ed.). New York, NY: Pearson. o Chapter 13, “Analyzing Data” (pp. 295–297, “The Data in Perspective”) Bauer, S., Lambert, M. J., & Nielsen, S. L. (2004). Clinical significance methods: A comparison of statistical techniques. Journal of Personality Assessment, 82 , 60–70. Gibson, F. H. (2003). Indigent client perceptions of barriers to marriage and family therapy (Dissertation, University of Louisiana at Monroe). Plummer, S.-B., Makris, S., & Brocksen S. M. (Eds.). (2014). Social work case studies: Foundation year. Baltimore, MD: Laureate International Universities Publishing. [Vital Source e- reader]. o Social Work Research: Program Evaluation Data Analysis Techniques In order to make decisions about the value of any research study for practice, it is important to understand the general processes involved in analyzing research data. By now, you have examined enough research studies to be aware that there are some common ways that data are reported and summarized in research studies. For example, the sample is often described by numbers of participants and by certain characteristics of those participants that help us determine how representative the sample is of a population. The information about the sample is commonly reported in tables and graphs, making use of frequency distributions, measures of central tendency, and dispersion. Information about the variables (or concepts) of interest when quantified are also reported in similar manner. Although the actual data analysis takes place after data have been collected, from the initial planning of a research study, the researcher needs to have an awareness of the types of questions that can be answered by particular data analysis techniques. For this Discussion, review the case study entitled "Social Work Research: Measuring Group Success." Consider the data analysis described in that case. Recall the information presented in the earlier chapters of your text about formulating research questions to inform a hypotheses or open-ended exploration of an issue. Discussion 1 Relationship Between Purpose of Study and Data Analysis Techniques 1 page paper Post an explanation of the types of descriptive and/or inferential statistics you might use to analyze the data gathered in the case study. Also explain how the statistics you identify can guide you in evaluating the applicability of the study’s findings for your own practice as a social worker. Please use the Resources to support your answer. Week 9 Data Analysis Discussion 2 Research studies often compare variables, conditions, times, and/or groups of participants to evaluate relationships between variables or differences between groups or times. For example, if researchers are interested in knowing whether an intervention produces change in the ...

Week 9 Data Analysis Resources Readings

Week 9 Data Analysis Resources Readings

Week 9 Data Analysis Resources Readings

lorileemcclatchie

Addressing Large, Complex, Unstructured Problems

Addressing Large, Complex, Unstructured Problems

Addressing Large, Complex, Unstructured Problems

alexadibenedetto

The problem of variable selection from a large number of variables to predict certain important dependent variables has been of interest to both applied statisticians and other researchers in applied physiology. For this purpose, various statistical techniques have been developed. This framework embedded various statistical techniques of sampling and resampling and help in Statistical Simulation for Physiological Responses under different Environmental condition. The population generation and other statistical calculations are based on the inputs provided by the user as mean vector and covariance matrix and the data. This framework is developed in a way that it can work for the original data as well as for simulated data generated by the software. Approach: The mean vector and covariance matrix are sufficient statistics when the underlying distribution is multivariate normal. This framework uses these two inputs and is able to generate simulated multivariate normal population for any number of variables. The software changes the manual operation into a computer-based system to automate the study, provide efficiency, accuracy, timelessness, and economy. Result: A complete framework that can statistically simulate any type and any number of responses or variables. If the simulated data is analyzed using statistical techniques; the results of such analysis will be the same as that using the original data. If the data is missing for some of the variables, in that case the system will also help. Conclusion: The proposed system makes it possible to carry out the physiological studies and statistical calculations even if the actual data is not present.

A Framework for Statistical Simulation of Physiological Responses (SSPR).

A Framework for Statistical Simulation of Physiological Responses (SSPR).

A Framework for Statistical Simulation of Physiological Responses (SSPR).

Project Abstract

Project Abstract

Project Abstract

Mat Berretta Magari

Samle size

Depression is a prevailing mental disturbance affecting an individual’s thinking and mental development. There has been much research demonstrating effective automated prediction and detection of Depression. Many datasets used suffer from class imbalance where samples of a dominant class outnumber the minority class that is to be detected. This review paper uses the PRISMA review methodology to enlist different class imbalance handling techniques used in Depression prediction and detection research. The articles were taken from information technology databases. The research gap was found that under sampling methods were few for predicting and detecting Depression and regression modelling could be considered for future research. The results also revealed that the common data level technique is SMOTE as a single method and the common ensemble method is SMOTE, oversampling and under sampling techniques. The model level consisted of various algorithms that can be used to tackle the class imbalance problem.

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

Title ABC/123 Version X 1 Article Analysis Topics PSYCH/660 Version 3 1 University of Phoenix Material Article Analysis Topics The Article Analysis Presentation is due in Week Three. Student Topic Allen, J. (2007). A multicultural assessment supervision model to guide research and practice. Professional Psychology: Research and Practice, 38(3), 248-258. Appelbaum, P. S., & Rosenbaum, A. (1989). Tarasoff and the researcher; Does the duty to protect apply to the research setting? American Psychologist, 44(6), 885-894. Appelbaum, P. S. (2009). Mental retardation and the death penalty: After Atkins. Psychiatric Services, 60(10), 1295-1297. Arredondo, P., & Toporek, R. (2004). Multicultural counseling competencies = ethical practice. Journal of Mental Health Counseling, 26(1), 44-55. Boysen, G. A., & Vogel, D. L. (2008). The relationship between level of training, implicit bias, and multicultural competency among counselor trainees. Training and Education in Professional Psychology, 2(2), 103-110. Brabender, V. (2006) The ethical group psychotherapist. International Journal of Group Psychotherapy, 56(4), 395-414. Dailor, A. N., & Jacob, S. (2011). Ethically challenging situations reported by school psychologists: Implications for training. Psychology in the Schools, 48(6), 619-631. Dugbartey, A. T., & Miller, M. (2009). Review of Boundaries in psychotherapy: Ethical and clinical explorations. Canadian Psychology, 50(1), 42-43. Gallardo, M. E., Johnson, J., Parham, T. A., & Carter, J. A. (2009). Ethics and multiculturalism: advancing cultural and clinical responsiveness. Professional Psychology: Research and Practice, 40(5), 425-435. Hess, A. K. (1987). Psychotherapy supervision: Stages, Buber, and a theory of relationship. Professional Psychology: Research and Practice, 18(3), 251-259. Kalmbach, K. C., & Lyons, P. M. (2006). Ethical issues in conducting forensic evaluations. Applied Psychology in Criminal Justice, 2 (3), 261-290. Lasky, G. B., & Riva, M. T. (2006). Confidentiality and privileged communications in-group psychotherapy. International Journal of Group Psychotherapy, 56(4), 455-476. Macvaugh III, G. S., & Cunningham, M. D. (2009). Atkins v. Virginia: Implications and recommendation for forensic practice. Journal of Psychiatry & Law, 37, 131-184. Pepper, R. S. (2007). Confidentiality and dual relationships in group psychotherapy. International Journal of Group Psychotherapy, 54(1), 103-114. Razza, N. J., Tomasulo, D. J., & Sobsey, D. (2011). Group psychotherapy for trauma-related disorders in people with intellectual disabilities. Advances in Mental Health and Intellectual Disabilities, 5(5), 40-45 Schank, J. A., & Skovholt, T. M. (1997). Dual-relationship dilemmas of rural and small-community psychologists. Professional Psychology: Research and Practice, 28(1), 44-49. Vannicelli, M. (2001). Leader dilemmas and countertransference considerations in-group psychotherapy with substance abusers. International Journal ...

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

Semelhante a Ch6 presentation (20)

Data science notes for ASDS calicut 2.pptx

Data science notes for ASDS calicut 2.pptx

Data science notes for ASDS calicut 2.pptx

Not sure how to do this case analysis please help me do it!1.Are t.pdf

Not sure how to do this case analysis please help me do it!1.Are t.pdf

Not sure how to do this case analysis please help me do it!1.Are t.pdf

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

CHAPTER 8 QUANTITATIVE METHODSWe turn now from the introductio

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

06279 Topic PSY 325 Statistics for the Behavioral & Social Scienc.docx

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

PO WER - XX LO Gdańsk - Mathematics and treatment of cancer

Multivariate Approaches in Nursing Research Assignment.pdf

Multivariate Approaches in Nursing Research Assignment.pdf

Multivariate Approaches in Nursing Research Assignment.pdf

D1804011824

Machine Learning and the Value of Health Technologies

Machine Learning and the Value of Health Technologies

Machine Learning and the Value of Health Technologies

Statistical modeling in pharmaceutical research and development

Statistical modeling in pharmaceutical research and development

Statistical modeling in pharmaceutical research and development

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

3rd alex marketing club (pharmaceutical forecasting) dr. ahmed sham'a

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docx

Correlation and Regression Study.docx

Correlation and Regression Study.docx

Correlation and Regression Study.docx

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Statistical Methods in Psychology JournalsGuidelines and Exp.docx

Week 9 Data Analysis Resources Readings

Week 9 Data Analysis Resources Readings

Week 9 Data Analysis Resources Readings

Addressing Large, Complex, Unstructured Problems

Addressing Large, Complex, Unstructured Problems

Addressing Large, Complex, Unstructured Problems

A Framework for Statistical Simulation of Physiological Responses (SSPR).

A Framework for Statistical Simulation of Physiological Responses (SSPR).

A Framework for Statistical Simulation of Physiological Responses (SSPR).

Project Abstract

Project Abstract

Project Abstract

Samle size

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

CLASS IMBALANCE HANDLING TECHNIQUES USED IN DEPRESSION PREDICTION AND DETECTION

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

TitleABC123 Version X1Article Analysis TopicsPSYCH.docx

Último

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

Delhi Call girls

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

08448380779 Call Girls In Civil Lines Women Seeking Men

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

Evaluating the top large language models.pdf

Evaluating the top large language models.pdf

Evaluating the top large language models.pdf

ChristopherTHyatt

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Histor y of HAM Radio presentation slide

Histor y of HAM Radio presentation slide

Histor y of HAM Radio presentation slide

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Último (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

08448380779 Call Girls In Civil Lines Women Seeking Men

08448380779 Call Girls In Civil Lines Women Seeking Men

08448380779 Call Girls In Civil Lines Women Seeking Men

Evaluating the top large language models.pdf

Evaluating the top large language models.pdf

Evaluating the top large language models.pdf

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Histor y of HAM Radio presentation slide

Histor y of HAM Radio presentation slide

Histor y of HAM Radio presentation slide

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Ch6 presentation

1. Chapter 6: Modeling Problems by Alex Calloway , Ray Bandas & Sabina Maza

2.

3.

4. Modeling Tools can be used to model population growth, such as colonies after a hurricane, or citizens in a new country. Visualization tools can be used to graph things such as the descent of a shuttle, or the setting of the sun. Systems modeling tools are especially effective for modeling problems because learners can test their models for accuracy. Jonassen again uses the example of a molar conversion problem in chemistry in the text. An additional example of a systems modeling tool could track the new citizens in a country. Finally, visualization tools are helpful for modeling abstract concepts like mathematic problems. Visualization can be used to plot the descent of a shuttle or the setting of the sun.

5.

6.