Phases of Transition for Nurses Essay Example | Topics and Well Written Essays - 1250 words

Phases of Transition for Nurses - Essay Example The gaps between theory and praxis will percolate within their system, as the abyss between reality and expectation brings innate confusion and perplexity. Phases of Transition for Nurses Duchscher (2001) explained that transition shock reinforces the need for new graduates to bridge their educational curricula with increasing workplace expectations with the aim of integrating new nursing professionals into such rigorous and dynamic context of healthcare practice. The transition phases include the following: a. The Honeymoon phase- this is the phase when a new practitioner attempts to reconcile one’s excitement and enthusiasm in the performance of job with such oozing expectations. New graduates express comfortability in the learning the variables from patients; not only settling on default information but also of other possibilities (Duchscher, 2001). They perform their new in accordance to standard policies of the practice in accordance to set of rules and standards set by t he medical institution with hope that they will be accorded with necessary counselling, mentoring, guidance, and evaluative care from their respective managers (Duchscher, 2001). ... b. Shock and Rejection– The feeling of shock and rejection often happens when the new practitioner’s expectation and assumption seemed to be incompatible or is in a mismatched to the empirical realities and demands of one’s job. When the feeling of shock is not remedied or not responded positively, frustration and disappointment may seep in the practitioner’s system. Confronted by this possibility, it is significant that neophyte healthcare provider should be oriented thoroughly of the demands of the job, the policies inherent in their respective duties, the potential stresses that their profession entails, as well as the standards imposed upon them as institutional protocols of the profession. Such orientation will help them cope from the competitive nature of their profession that require their core competence and positive attitude in dealing with the multiple tasks embedded in healthcare delivery. Guidance, mentoring, and professional support from the m edical institution’s management could help provide psycho-emotional balance to new practitioners amid variants present in medical care. It is also significant that new practitioners are able to understand exactly the caring profession hence, there is an imperative for them to act in accordance to their professional and ethical goals while providing support and compassion to patients or clients. Healthcare advocates should fully transcend the hassles and stresses of criticism, lack of support, or maybe those mockeries-- at an optimal level to meet their oath and to cope against potential rejection. It is therefore important that they too are able to understand the entire operational mechanism and framework of healthcare

Multivariate Analysis Essay Example | Topics and Well Written Essays - 3000 words

Multivariate Analysis - Essay Example The huge capacity of research in the field of modeling of the real world processes along with handling of several input and output variables is obvious. All these situations can be considered as multivariate due to the presence of multiple variables. Multivariate Analysis: Multivariate analysis techniques identify the relationship patterns among a number of variables at one time. Multivariate analysis techniques are generally used for, Development of classification systems. Enquiring ways to group and use data items. Generation and testing of hypothesis. Selected Papers The research papers selected for the study are listed as follows, 1. A Study of Diversification in banking sector with special reference to Finance, by Yaseen Ahmed Meenai, IBA, Karachi, Pakistan. 2. Performance measurement by Data Envelopment Analysis (DEA): A study of banking sector in Pakistan by Sultan Jahanzaib, Bilal Muhammad, Zaheer Abbas. International Islamic University, Islamabad, Pakistan. 3. The Comparison of Principal Component Analysis and Data Envelopment Analysis in Ranking of Decision, by Filiz KARDYEN and H.Hasan ORKCU, Turkey. The sources of these research papers are indicated in the references. The rationale of selection: Keeping in mind the major field of study as ‘finance’, these papers are selected to study the application of multiple multivariate analysis techniques in the field. Following paper wise description clarifies the selection criteria to a better extent. Research paper 1, discusses the growth of consumer financing in Pakistan during the early years of the first decade of this century. The purpose is served through the selection and study of the data generated by ten financial institutions in this era. To support the hypothetical claim of a boom in performance during this period, two multivariate analysis techniques namely Profile Analysis and Correspondence Analysis are used. The second research paper is also related to the banking sector in Pakista n. The relevance with the field of finance becomes the main reason for the selection of this paper as well. The added reasons are that the paper exhibits the application of a unique non statistical multivariate technique namely Data Envelopment Analysis. This technique is used to comment on the efficiency and effectiveness of the DMUs (banks). The hypothesis presented claims no correlation between efficiency and effectiveness. The result of analysis supports the hypothesis. Research paper 3 is selected mainly to enhance the knowledge of multivariate techniques studied and learnt in this research so far. This paper is taken as an extension to the previous one as it compares the Data Envelopment Analysis with a purely statistical multivariate analysis technique namely Principle Component Analysis. The case study (a bit financial) and data selected for the comparison is related to the ranking of multiple European Union Countries in terms of economy. The paper stands out as it proves th at PCA could be used instead of DEA for ranking the DMUs (counties in this case) as effectively as DEA. The paper highlights the procedural differences of both the techniques as well. The Techniques: Profile Analysis This technique takes the data in tabular manner to consider the row wise or column wise profiles. The visualization of data through profile analysis enhances the understanding of data. The factors like relative inclination or decline and percentage