Thursday, November 28, 2019
Teach you repair impact crusher Parts Essay Example For Students
Teach you repair impact crusher Parts Essay Impact crusher efficiency of our friends are obvious, like the human body , like a long time, there will be some big or small issues that we need to help solve it . Here , peak Heave. W teach technicians to give you some impact crusher is often problematic parts repair methods . Preferred , impact crusher maintenance you have to Start from the hammer We start to understand the repair hammer and hammer the selection of materials , and why ? Because counterattack crusher hammer is the main consumable parts , the current multi-purpose gig manganese steel, when one side wear, can be used upside down But when the hammer was badly worn on both sides it is difficult to repair , had to replace the hammer. If at this time the shaft hole and hammer shank is not damaged, but will inevitably cause the entire hammer scrap waste. Therefore, the hammer is in use, can not let too much wear and tear on both sides , we should replace him with a high manganese steel alloy or electrode surfacing to improve wear resistance. We will write a custom essay on Teach you repair impact crusher Parts specifically for you for only $16.38 $13.9/page Order now Secondly You have to understand the crusher frame pair cast steel racks are generally not in direct contact with the material , but the chassis side machine side cover plate and is subject to the material between the chisel -type abrasive wear In addition, the rack shaft shaft hole hammer , hammer crusher after long-term work, the hole will be ground into a flat round hole, impact hammer work Fix the rack is carried out with manganese steel surfacing surfacing . Before welding , welding rod to dry after welding, the surface should be smooth , symmetrical position rack surfacing weight would be balanced otherwise it will affect the hammer work, This method is simple, the cost is higher, but the wear resistance can be increased more than I times . Hammer shaft bore wear , after annealing after welding drilling re- crossed or the rack plate combination, for buildings with holes , easy to achieve dimensional accuracy requirements. The final step is grate repair and lining repaired Impact crusher grate , due to the material impact and friction, wear is relatively fast , and some even bend and break the grate can wear welding pair , repair, should pay attention to the gap between the size of the grate . The grate can crack repair welding , repair to the attention Of the weld surface smooth. Bend and break the grate should generally be replaced with new grate . And more for high-manganese steel liner material, liner wear surfacing method can also be repaired In order to save precious manganese steel surfacing , to use the underlying structural steel welding rod , and then manganese steel surfacing electrode surface . When the wear layer is thin it can be directly evenly manganese steel surfacing electrode To save welding electrodes and time savings can be intermittent welding liner into strips and mesh , but not too close the gap discontinuity and depopulation , too dense to save limited depopulation not achieve repair.
Sunday, November 24, 2019
Quality Theory in the Hospitality Industry
Quality Theory in the Hospitality Industry Hospitality industry is one area where highest quality standards are required. The guests or rather the customers expect quality to be maintained in every product they are anticipating to use from the hotels and restaurants both services and goods.Advertising We will write a custom essay sample on Quality Theory in the Hospitality Industry specifically for you for only $16.05 $11/page Learn More Failure to meet the required quality, a hotel business can easily lose customers to other competitors since the industry has become so competitive. Quality earns its full definition when it fully conforms to requirements (Beckford, 2010). Total quality management has to be enhanced in the hotel industry and the organizations that have enhanced quality should incorporate its principles to their corporate strategy to ensure high quality services and customer satisfaction. Product design and adoption of modern technology to improve production processes must be continuou sly used to meet the minimum required standards. The employees of an organization are expected to maintain the highest standards possible that will try to differentiate the hotelââ¬â¢s products from those of other competitors. Many hotels have introduced measurement standards in their businesses that are perpetually evaluated to see whether the hotel has achieved its goals and objectives and ensure high quality standards are maintained (Evans Lindsay, 2008). There are two principal approaches to service quality. There is technical and product approach and customer oriented approach. The two approaches are attributable to managerial efforts that are from two points of perspective. The manager strives very hard to abide by the standards set by the organization and at the same time meet the customer satisfaction. Every consumer visits a hotel facility with one expectation, high service delivery and incase of dissatisfaction it is hard for the consumer to show it therefore the emplo yees must always be sensitive in determining whether the customers have been fully satisfied (Evans, 2005).Advertising Looking for essay on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More Quality maintenance is joint efforts of the management and other employees of the hotel. In the event of poor cooperation, the business finds it easy to enhance the expected quality. The management also finds it hard to ensure quality when the organizationââ¬â¢s goals have not been adequately communicated to the employees. The quality may not be addressed when the customersââ¬â¢ expectations differ with the standards maintained by the hotel. A situation may arise whereby the management thinks it has fully performed to the maximum and the customersââ¬â¢ demands have not been met. In short, the quality is said to be achieved when the hotelââ¬â¢s standards match customersââ¬â¢ expectations (Dale Plunkett, 1990). Th e customersââ¬â¢ demands must be closely monitored and analyzed to achieve the efficiency of the entire system involved in the hotel for the achievement of the desired quality. This goes hand in hand with definition and controlling process and constant improvements implementation. Quality consists of several elements and each one of them is equally important to obtain a hundred percent quality. In todayââ¬â¢s world, quality is attributed to expansion and escalating diverse customer needs, highly competitive markets, market internationalization and modern technology improvements (McConnell, 1986). Service quality measurement may impose some complications since there are no precise parameters that can be used to determine quality. This does not include product quality because measurable indicators exist that can determine their quality for instance the productââ¬â¢s durability. In conclusion, the survival or success of any hotel or restaurant facility is dependent upon the qu ality of goods and services it offers. References Beckford, J. L. (2010). Quality: A critical introduction. New York, NY: Routledge. Dale, B.G., Plunkett, J.J. (1990). Managing quality. London: Prentice Hall.Advertising We will write a custom essay sample on Quality Theory in the Hospitality Industry specifically for you for only $16.05 $11/page Learn More Evans, J.R. (2005). Total quality management, organization, and strategy. Cincinnati: South- Western. Evans, J.R., Lindsay, W. M. (2008). The management and control of quality. New York, NY: Southwestern. McConnell, J. (1986). The Seven tools of total quality control. Sydney: Delaware Books.
Thursday, November 21, 2019
AUSTRALIA INSURANCE LAW Research Paper Example | Topics and Well Written Essays - 3750 words
AUSTRALIA INSURANCE LAW - Research Paper Example In Australia, the Medical Insurance law is designed mainly to deter medical negligence as well as to compensate patients who are injured by negligent doctors and other health-care professionals. Where compensation is concerned, several studies have shown a significant mismatch between claims and negligent injuries, i.e. only a small proportion of negligent injuries results in claims (the iatrogenic pyramid) (Lavenant, 2002, 4) and only a small proportion of claims involve true negligent injury. (Liebman, 2004, 24) This suggests that many injured patients do not sue for compensation while others readily attribute poor clinical outcomes to negligence. If an injured patient sues because he wants an explanation or apology rather than monetary compensation, then litigation may not be the appropriate solution, as opposed to alternative dispute resolution (ADR). Moreover, medical disputes that arise from poor clinical outcomes can be settled through proper post-event communication instead o f litigation. The determination of appropriate reforms usually takes into account issues on moral justice vis-à -vis public policy. More often than not, reforms are perceived by their opponents as threatening individual rights to institute legal action or to be compensated in whole. On the other hand, advocates call for reforms to minimise undesirable the economic and non-economic consequences of excessive litigation that may have adverse effects on society. After Rogers v. Whitaker (1992) the court decided it should be decided by the patient if they are willing to undergo a medical treatment. The doctorââ¬â¢s responsibility is to tell patient all about the risks and benefits of any proposed course of treatment. (Love, 2007) Medical malpractice reform is a multidimensional issue that cannot be perceived from a single viewpoint or addressed using one distinct strategy. Inevitably, there will always be controversy over various reforms. This paper aims critically to review some
Wednesday, November 20, 2019
Reading Respond#3 Essay Example | Topics and Well Written Essays - 250 words
Reading Respond#3 - Essay Example U.S, and of the armed forces of the numerous states, when given the actual service of America and commission all the service personnel of the United States (The Founders Constitution 1). The separation of war powers within the U.S Constitution does not appear so uncertain. While the President is given some exclusive authorities (Straub 1-2), the immensity of the authority to take the country to war depends on Congress (Kinkopf 2). According to U.S. Constitution, there is separation of powers of war. With Congress having the power to proclaim war, select and sustain the armed forces, and manage war funding (Article I, Section 8). At the time the Constitution was outlined (Kinkopf 2), the framers evaluated the singular willpower of the Executive against the Legislatureââ¬â¢s consultative function, whose components would ultimately carry the cost of battle (The Founders Constitution 1). The ultimate responsibility for any military engagement is held by the congress. This is clear as it is supported by the Supreme Court. The Supreme Court has been fast to remind the people that, where overlaps in the authorities given by the Constitution prevail, reverence goes to Congress. This is a clear declaration of Supreme Court that when Congress, acting in the vast aspects of overlapping authority, tells the President no, the President ought to comply (Kinkopf 2). Straub, Steve. Alexander Hamilton, Federalist Paper #69, On Command of the Army and Navy. On March 21, 2011. Accessed from
Monday, November 18, 2019
How Should the Challenges Posed by International Terrorism Best be Met Essay
How Should the Challenges Posed by International Terrorism Best be Met in the Course of the Next Decade - Essay Example The proficiency and sophistication of the terrorist attacks that we currently face is very different from what we had a decade ago. In the same way, the world is likely to face a new and more dynamic form of terrorism in the course of the next decade. It is necessary that the world gets prepared for this new challenge. Terrorism is a phenomenon that can gladly swipe a whole nationââ¬â¢s population from the face of the world and have the audacity to claim responsibility1. It should not be condoned at any cost. Discussion One of the greatest challenges in the course of the next decade shall be proliferation. This is the acquisition of weapons of mass destruction by terrorist organizations. Currently there are numerous terrorist organizations in the globe. The Al Qaeda movement is one of the most dangerous terrorist groups in the world currently. Even after the demise of Osama bin Laden, it is still assumed that the group is still operational and it will take time to be wiped out. Th ese are poised be regenerate in numbers and might in the course of the next decade. If they are allowed to get their hands to weapons of mass destruction, they shall for sure strike and strike hard for that matter. The next decade holds the challenge of containing the increased number and strength of terrorist organizations2. ... Attacks by national governments are a relatively subtle issue as compared to attacks from terrorist organizations which is the challenge that the world is out to face in the course of the next decade. Nations are easy to diplomatically deal with. They have vested interests which can be put on the table and used as bargain to compel them to refrain from terrorist activities. They can be threatened with sanctions; charges of crimes against humanity in the Hague based International Criminal Court; Free traveling restrictions among others. These might hold governments at ransom and thwart them from getting engaged in terrorism activities. On the other hand, terrorist organizations do not face these challenges. They cannot be cowed with sanctions or travel restrictions and the likes. It is even hard to identify who they really are in the first place. They do not have to come out in the open as heads of nations should. In this regard, the multiplication and intensification of terrorist gro ups is a very huge challenge in the course of the next decade. Meeting the challenge of the increase and intensification of terrorism organizations is a hard nut to crack, and it needs governments and law agencies to be thorough and resilient3. The best way of meeting this challenge is keeping the organizations constantly on the run. If they are allowed to settle down and organize themselves, they are able of lay their hands on extremely lethal weapons of mass destruction. They can cause the world a great deal of havoc. The world needs to hunt them down from the thickest of forests and fish them out from the deepest of oceans. This shall keep them always aloof and wary of their back. They shall concentrate on soliciting more fortified hideouts rather than soliciting
Friday, November 15, 2019
Research Design Location And Research Time Psychology Essay
Research Design Location And Research Time Psychology Essay This chapter will present the methodological approach and research technique used in this thesis along with how the data will be gathered to find the answer or solutions of the research questions and problems, such as research design, theoretical perspective, data collection method, data analysis method as well as the validity and reliability of the data. Research Design, Location, and Research Time This research was planned and designed to obtain answer to research questions. Research design is the framework or plan for study, used as a single guide to collect and analyze the data. It is the blueprint that is followed to complete a study. According to Sekaran and Bougie (2009, p. 24), a research method or approach/design gives details on the most suitable methods of investigating the nature of the research, instruments, the sampling plan and the type of data to be used. Furthermore, Sekaran and Bougie (2009, p. 24) also report that a research method or design forms the framework of the entire research process. Therefore, if it is a good method or design, it will thus ensure that the information obtained is important to the researchers problem and those objectives and economic procedures in collecting it are all within limits. It simply is a systematic quest for undiscovered truth. In pursuit of this undiscovered truth, a researcher needs facts, published documents from primary sources and secondary sources. This research was using a cross sectional study which the data are gathered just once (Sekaran Bougie, 2009, p. 119). Research location was done at six locations: Central Jakarta, North Jakarta, South Jakarta, West Jakarta, East Jakarta and Tangerang city to household customers of PT. Perusahaan Listrik Negara between March to July 2012, with the distribution of questionnaires within June 2012. Research Framework The research framework of this thesis is shown in Figure 3.1 below. The first research step is to define the research problem, followed by research objective. The third step is a literature review, followed by data collection, data analysis, hypothesis test, and finally generate conclusion and recommendation. Source: Author Figure 3.: Research Framework Research Questions and Hypotheses In this study, researcher would like to answer the questions and analyze the hypotheses below: RQ1: How do cultural factors, social factors, personal factors, psychological factors, and PLN services influence customer decision in using electricity at peak load hours? H1: From those factors, all factors are positively influence customer decision in using electricity at peak load hours. RQ2: How is the correlation between the decisions in using electricity during peak load hours with the household customers behavior towards saving electricity? H2: There is a correlation between the decisions in using electricity during peak load hours with the household customers behavior towards saving electricity. RQ3: How do pro-social intensions, motivations, access to information, and knowledge influence customer behavior in saving electricity? H3: From those factors, all factors are significantly influence customer behavior in saving electricity. RQ4: How is the correlation between customer awareness of consequences, aspiration of responsibility, personal norms towards their pro-social intensions in saving electricity? H4: There is STRONG correlation between customer awareness of consequences, aspiration of responsibility, personal norms towards their pro-social intensions in saving electricity? RQ5: What interventions or instruments are most likely to affect households saving electricity behavior? H5: The intervention or instrument most likely to affect households saving electricity behavior is by increasing their motivation, knowledge, and access to information about saving electricity programs. RQ6: From the classification of household segments, which class is the most involved in saving electricity? H6: From the classification of household segments, class R1:2.200VA is the most involved in saving electricity. Conceptual Framework Source: Author (Adapted from Kotler, 1999, and deGroot Steg, 2009) Figure 3.: Conceptual Framework Research Data Type and Source of Data There are two types of data that researches collected depending on the purpose. The data of research consists of both primary and secondary data. The primary data are the first-hand information acquired by the researcher on the variables under study while the secondary data refer to information gathered from sources that already exist which may come from archives or organizational files (Sekaran Bougie, 2009, p. 180). This research was used both primary and secondary data. The primary data sources were obtained through the survey method by distributing structured questionnaires to household customers of PT. PLN Jakarta Raya and Tangerang Distribution. The secondary data were obtained from the company internal data such as figures in customer-base segmentation, and existing data in books, journals, publications, reports, and websites. Data Collection Method The data collection for primary and secondary data is done through the following methods: Literature Review. According to Sekaran and Bougie (2009, p. 38), a literature review is a step-by-step process that involves the identification of published and unpublished work from secondary data sources on the topic of interest, the evaluation of this work in relation to the problem. In this research, the literature review is done by search and study books, reports, journals, research reports, internet website related to electricity business and customer behavior. The information related to the company is obtained through the companys website and published reports. Questionnaire. Sekaran and Bougie (2009, p. 197) define questionnaire is a pre-formulated recorded series of questions to which the respondents giving their answers usually within rather closely defined alternatives. For this research, the questionnaire is formulated and distributed to the respondents in two methods. First method used is by distributing the questionnaire to respondents through email. The second method is the direct questionnaire to respondents, by asking them to give their answer on the questionnaire paper provided. Questionnaire Design Questionnaires are efficient data collection method when the researcher knows the information to gather and how to determine the variables of interest (Sekaran Bougie, 2009, p. 197). Questionnaire survey is formulated to answer the research questions. It is a tool that may be conveniently distributed personally or electronically to respondent. According to Burns and Bush (2006, p. 300), there are six key functions of a questionnaire: To translate the research objectives into specific questions. To standardize the questions and the response categories to let every participant responds to identical stimuli. To reinforce cooperation and motivates respondents to respond. To serve as permanent records of the research. To speed up the process of data analysis, depending on the type of questionnaire used by the researcher. To contain the data which may be addressed for reliability and validity. The first part consists of the demographic attributes questions such as gender, age, education, occupation, annual income, and the second part consists of questions analyzing customer behavior in terms of cultural, social, personal, and psychological factors that base on Griffin and Eberts model (2006, p. 283). Part two in the questionnaires use Likerts scale which enables the respondents to give level of the attributes stated in the questions. A Likerts scale was used in the research, in which respondents were asked to indicate their level of agreement or disagreement on a systematic agree-disagree scale for each of a series of questions (Burns Bush, 2006, p. 281). Each question in the questionnaire on this part is ranged from 1 to 5, where 1 = Strongly Disagree; 2 = Disagree ; 3 = Neutral or Not Applicable ; 4 = Agree ; 5 = Strong Agree. The questionnaire format for this research is shown in Figure 3.3 below. Source: Author Figure 3.: Questionnaire Design for This Research Table 3.1 shows the distribution of items in order to measure the variables in the questionnaires. Table 3.: Variable, Scale of Data and Category of Questions Part 1: Respondent Profile No. Variables Scale of Data Category of Questions 1. Gender Nominal Male Female 2. Age Interval 20-30 years old 30-40 years old 40-50 years old 50-60 years old à ¢Ã¢â¬ °Ã ¥ 60 years old 3. Occupation Nominal Government employee Private company employee Self-employed Professionals Retired Others 4. Number of Family Members Interval Small: à ¢Ã¢â¬ °Ã ¤ 4 members Medium: 5-6 members Big: à ¢Ã¢â¬ °Ã ¥ 7 members 5. Educational background Ordinal Basic / Junior High School Senior High School College Degree Bachelor Degree Master Degree PhD 6. Income per month Ratio à ¢Ã¢â¬ °Ã ¤ 2 million rupiahs 2 to 5 million rupiahs 5 to 10 million rupiahs à ¢Ã¢â¬ °Ã ¥ 10 million rupiahs 7. Classification electricity Nominal 900 VA 1.300 VA 2.200 VA 8. Domicile Area Central Jakarta West Jakarta East Jakarta South Jakarta North Jakarta Tangerang City Part 2: Exploratory Questions (Data are in Likert scale) Customer Decision in using electricity at peak load hours No. Variables Category of Questions A. Cultural Factors Regularly using electricity at peak load hours (between 17.00 to 20.00). Household activities were dominated by using electrical equipment. Regularly using electrical equipment in day time. B. Social Factors The capacity of installed electricity is in accordance with the requirement. Able to pay if electricity tariff is go up. Electricity tariffs are still cheap. Its normal to reduce electricity subsidized and to increase tariffs when oil prices are up. C. Personal Factors Able to pay electricity and can afford the electricity bills. It is necessary to increase capacity because the need of electricity will increase. Electricity bills are relatively small compare to the total expenditure. D. Psychological Factor When using electricity at peak time, we will pay more expensive. Feeling guilty when using electricity at peak time. Feeling happy if every rooms are bright. E. PLN Services Power failure was rarely, so it is convenient to use it, especially at peak time. Recording of electricity is on time and the bill is in accordance with the use. Since electricity is stable, we are not worry to use it at peak time. Part 2: Exploratory Questions (Data are in Likert scale) Customer behavior towards saving electricity No. Variables Category of Questions A. Access to Information Get information about saving electricity from friends, family, neighbor, PLN, or community leaders. Get information about saving electricity from television, radio, magazine/newspaper, and internet. Often receiving information about saving electricity. B. Knowledge Knows electricity-saving equipment. Electrical equipment will be more efficient when turned off than in standby. Using electrical equipment at its maximum capacity will take more energy. C. Motivation Being motivated to prioritize electricity saving behavior. Being motivated to respect environment. D. Pro-social Intensions There are negative consequences of any actions that do not respect the environment. Feel responsible for environmental damage. Having a moral obligation towards energy efficiency and environmental protection. Questionnaire Format In this research, the questionnaires were prepared in printed and online formats using Indonesian language, because some of the respondents were not able to read and speak in English language. During the pre-test stage, the questionnaire was distributed only through email to 30 respondents to find out the validity and reliability of the data or questions in the questionnaires. At the post-test stage, the revised questionnaire was printed and distributed door to door. Due to time limitation, researcher employed a strategy by setting up a team consist of 6 (six) members to meet the respondents in 6 (six) different locations (domiciles). The revised questionnaire was also distributed by email. By using email, it was very convenient in terms of shortening the time spent to send the questionnaire and receiving the responses from the respondents. However, there were difficulties because the respondents were depended on a computer and internet service. Survey Sampling Method According to Sekaran and Bougie (2009, pp. 262-263), a sample is a subset of the population. It comprises some members selected from it. A sample is thus a subgroup of the population, which represents the whole group of people, actions, or things of interest that the researcher wants to investigate. According to Burns and Bush (2006, pp. 372-374), the size of the sample affect the sample accuracy of results, thus sample accuracy refers to how close a random samples statistic is to the populations value it represents. The most correct method of determining sample size is confidence interval approach. In order to calculate the proper sample size of the survey, Burns and Bush (2006, p. 366) said, there are three items required: Amount of variability of population Desired accuracy, and Required confidence level. Sampling Methodology In this research, the population is the total number of customers of PT. PLN Jakarta Raya and Tangerang Distribution from the Household segment, which according to the statistics are 3.330.815 number of customers. For this amount of population, the sample size may be calculated using the formula recommended by Burns and Bush (2006, p. 372): Where: n = the sample size z = standard error associated with the chosen level of confidence (1.96) p = estimated percentage in the population q = 100- p e = acceptable sample error Sample population sample size = population sample size x In this research, researcher chose to use a probability of 90% with a 95% level of significance equivalent to a z value of 1.96 and sample error 4%. The sampling calculation was determined by using a software application, PHStat2. PHStat2 is a Windows-based software that assists students and professionals in learning the statistic concepts while using Microsoft Excel. Table 3.: Sampling Size Determination Data Estimate of True Proportion 0.9 Sampling Error 0.04 Confidence Level 95% Intermediate Calculations Z Value -1.95996398 Calculated Sample Size 216.0820587 Result Sample Size Needed 217 Finite Populations Population Size 3.330.815 Calculated Sample Size 216.0681064 Sample Size Needed 217 Source : Data on File Based on the calculation in Table 3.2, the minimum number of sample size needed is 217 samples; however in this research the number of samples is added to another 10 percent in order to produce greater accuracy. Therefore, this research will be used 240 samples. This research will use a cross sectional-study in which the data are gathered at once in order to answer the research questions (Sekaran Bougie, 2009, p. 119). Sample Withdrawal Techniques The populations in this research were household customers of PT. PLN Jakarta Raya Tangerang Distribution. Sampling technique was done by using stratified random sampling, involves a process of stratification or segregation, followed by random selection of subjects from each stratum. The population is divided into stratum, and then sampling conducted in each stratum (Sekaran Bougie, 2009, p. 272). In this research, customers who become household population were stratified based on electrical power and is divided into three groups, namely: 900VA, 1.300VA and 2.200VA. It is based on the Regulation of the President of Republic Indonesia No. 8, 2011, p. 9 (see Appendix A2). The sample selection techniques are described in Figure 3.4. Source: Author Figure 3.: Sample Withdrawal Techniques Data Analysis After data are obtained through questionnaires, the next step is to analyze them to test the research hypothesis. To ensure that the data obtained are reasonably good and ready for use for statistical analysis, Sekaran and Bougie (2009, pp. 306-330) recommend followings: Getting the data to be ready for analysis: Coding and data entry Coding the responses Data entry Editing data Data transformation Getting a feel for the data: Relationship between variables Correlations Testing goodness of data Reliability Validity Testing the hypothesis Hypothesis testing and data analysis will be conducted using appropriate statistical method and based on sample data associated with software such as PHStat2, SPSS version 20, and AMOS version 20. Descriptive Analysis Descriptive analysis such as the mean, mode, standard deviation, and range are used by researcher to describe the sample data matrix in such a way as to portray the typical respondent and to reveal the general pattern of responses. Descriptive measures are regarded as the steps undertaken by the researcher earlier in the process of analysis and become foundations for subsequent or more complex analysis (Burns Bush, 2006, p. 424). Descriptive statistics were used to portray the main characteristics of a collection of data in quantitative terms and distinguished from inductive statistics in that they intend to quantitatively review a data set, instead of being used to support reports regarding the population that the data are supposed to represent. Even when a data analysis obtains its major conclusions using inductive statistical analysis, the descriptive statistics are usually presented alongside the formal analyses to show the audience an overall perception of how data being examined. Validity and Reliability Test A good quality measurement instrument is needed in order to obtain precise data of this research. The ideal instrument has to be reliable and valid. The researcher must address both validity and reliability of the measures in assessing the degree of measurement error present in any measures. Any measure designed or adapted for use in any research should both be reliable and valid. A reliable measure is one in which a respondent acts in response to the same or a very similar manner to an identical or nearly identical question (Burns Bush, 2006, p. 290). The reliability of a measure is a test of how consistently a measuring instrument measures whatever concept it is measuring. In testing the reliability of the questionnaire, the test-retest reliability test was used which measures the correlation between the same respondents obtained at the two different times (Sekaran, 2010, p. 162). To achieve reliability of a measure, the researcher was using SPSS software with Cronbachs Alpha as the measurement. Cronbachs Alpha is a reliability coefficient that determines how well specific items of the measurement tools are positively correlated to one another. Cronbachs Alpha is computed using the average intercorrelations among the items measuring the concepts. If Cronbachs Alpha is greater than 0.70, it means that the data are more consistent and reliable. The closer the alpha value to 1 indicates the data are most consistent and reliable. A high quality reliable instrument can be used as a guide to draw a conclusion and making decisions (Sekaran Bougie, 2009, pp. 324-325). Validity is a test of how fine a developed instrument to measure the particular concept it is planned to measure. In the other words, validity is related to measurement with the right concept and reliability with stability and consistency of measurement (Sekaran Bougie, 2009, pp. 158-160). Correlation Analysis Correlation analysis is an analysis done to trace the mutual influence of variables on one another. A correlation coefficient that indicates the strength and direction of the relationship can be computed by applying a formula. There could be a perfect positive correlation between two variables, which is represented by 1.0 (plus 1), or a perfect negative correlation which would be -1.0 (minus 1) (Sekaran Bougie, 2009, p. 322). The formula to calculate the coefficient of correlation is: Source: Burns Bush, 2005 Where: r = coefficient correlation n = samples xi = variable X x = mean X yi = variable Y y = mean Y Table 3.3 presents the rules of thumb in interpreting the correlation coefficient values. Table 3.: Rules of thumb of degree of correlation Coefficient Range Strength of Association à ±0.81 to à ±1.00 Strong à ±0.61 to à ±0.80 Moderate à ±0.41 to à ±0.60 Weak à ±0.21 to à ±0.40 Very Weak à ±0.01 to à ±0.20 None Source: Burns Bush, 2005 Structural Equation Modeling (SEM) Structural equation modeling (SEM) is a statistical approach for testing and estimating causal relationship using a combination of statistical data and qualitative causal assumptions. Typically, this theory represents causal processes that produce examinations on multiple variables. The term structural equation modeling expresses two important features of the procedure: causal processes, represented by a sequences of structural (i.e. regression) equations, and these structural relationships can be displayed pictorially to allow a clearer conceptualization of the theory. Then, the hypothesized model can be examined statistically in a simultaneous analysis of the entire variables to conclude the degree of its consistency to the data. If goodness-of-fit is adequate, the model argues for the credibility of hypothesized relations among variables. If it is inadequate, the reasonability of those relations is rejected (Byrne, 2010, p. 3). Statistical models provide an efficient and convenient way of describing the latent structure underlying a set of observed variables. Expressed either diagrammatically or mathematically via a set of equations, such models explain how the observed and latent variables are related to one another. Typically, a researcher postulates a statistical model based on his or her knowledge of the related theory, on empirical research in the area of study, or on some combination of both. Once the model is specified, the researcher then tests its plausibility based on sample data that comprise all observed variables in the model. The primary task in this model-testing procedure is to determine the goodness-of-fit between the hypothesized model and the sample data. As such, the researcher imposes the structure of the hypothesized model of the sample data, and then tests how well the observed data fit this restricted structure. Because it is highly unlikely that a perfect fit will exist between the observed data and the hypothesized model, there will necessarily be a differential between the two; this differential is termed the residual. The model-fitting process can therefore be summarized as follows: Data = Model + Residual Where: Data represent score measurements related to the observed variables as derived from persons comprising the sample. Model represents the hypothesized structure linking the observed variables to the latent variables and, in some models, linking particular latent variables to one another. Residual represents the discrepancy between the hypothesized model and the observed data (Byrne, 2010, p. 7). Structural equation models are schematically portrayed using particular configurations of four geometric symbols: a circle (or ellipse), a square (or rectangle), a single-headed arrow, and a double-headed arrow. By convention, circles (or ellipses; ) represent unobserved latent factors, squares (or rectangles; ) represent observed variables, single-headed arrows (à ¢Ã¢â¬ ââ¬â¢) represent the impact of one variable on another, and double-headed arrows (à ¢Ã¢â¬ â⬠) represent covariance or correlations between pairs of variables (Byrne, 2010, p. 9). In building a model of a particular structure in this research, the researcher uses these symbols within the framework of four basic configurations, each of which represents an important component in the analytic process. These configurations, each accompanied by a brief description, are as follows: Path coefficient for regression of an observed variable onto an unobserved latent variable (or factor) Path coefficient for regression of one factor onto another factor Measurement error associated with an observed variable Residual error in the prediction of an unobserved factor The Path Diagram Schematic representations of models are termed path diagrams because they provide a visual portrayal of relations which are assumed to hold among the variables under study. Essentially, a path diagram depicting a particular SEM model is actually the graphical equivalent of its mathematical representation whereby a set of equations relates dependent variables to their explanatory variables (Byrne, 2010, p. 10). Using path diagram as a structural equation modeling tool, the pattern of causal relationship can be detected. Causal relationship describes interrelations among a set of latent (unobserved) variables and a set of observed variables. Path diagram is a relationship structure between the exogenous and endogenous variables. The independent (X) variables are called exogenous variables. The dependent (Y) variables are called endogenous variables. Model Measurement According to Hair et.al (2010) measurement model validity depends on establishing acceptable levels of goodness of fit (GOF) for the measurement which indicates how well specify model reproduces the observed covariance matrices, smaller the difference between covariance matrices estimate with the observe covariance matrices, more fit the model. (Hair et. al, 2010, p.639). The GOF value contains several parameters to be considered by the researcher as stated by Hair et.al (2010, p.640-650), this thesis confirm the overall model fit the parameter will used the following: Chi-square (CMIN) or minimum discrepancy (), it is to test whether there is the different covariance matrices estimate within the covariance matrices observe, smaller () shown the different of both not significant and the model more fit. df (degree of freedom), more positive (>=0) of the df which shown with minimum was achieved the process of the estimate could be done. CMIN/DF. CMIN represents the minimum value of the discrepancy while DF is the degree of freedom. According to Wijaya (2009, p. 45), the model could be accepted if the CMIN/DF is à ¢Ã¢â¬ °Ã ¤ 2.00. RMR (root mean square residual), this is called badness of fit whether the value is less than 0.1 than it is better because deference between sample and the estimate is smaller (Hair et.al 2010, p.642) GFI and AGFI (Goodness fit index and Adjusted Goodness fit index), GFI and AGFI value between 0 to 1, more closed to 1 more fit the model (Hair et.al 2010, p.643)
Wednesday, November 13, 2019
A Biographical Analysis of The Rime of the Ancient Mariner Essays
A Biographical Analysis of The Rime of the Ancient Mariner ââ¬Å"The Rime of the Ancient Mariner,â⬠by Samuel Taylor Coleridge, is a somewhat lengthy poem concerning the paranormal activities of a sea mariner and his crew. The work was constructed to be the beginning piece in Lyrical Ballads, a two-volume set written by William Wordsworth and Coleridge. Wordsworth intended to, in his volume, make the ordinary seem extraordinary, while Coleridge aimed to make the extraordinary ordinary. ââ¬Å"The Rimeâ⬠was first published in 1798. Despite the current popularity of the piece, it was harshly criticized upon being first published. One of ââ¬Å"The Rimeââ¬â¢sâ⬠toughest opponents was Wordsworth himself, who claimed that the poem had ââ¬Å"neither characterization nor proper agency nor skill in the handling of imageryâ⬠(Fry, 12). Wordsworth even bluntly described the piece as being in the wrong overall meter (Fry, 12). Because of these presumed flaws, ââ¬Å"The Rimeâ⬠was edited into several subsequent editions, being released in 1800, 1802, 1805, 1817, and 1834. When a reader examines ââ¬Å"the Rime,â⬠the piece first appears to be merely that of an archaic ghost story. Throughout the years though, many have analyzed the poem from various angles of interpretation. Some of the methods used to decipher ââ¬Å"The Rimeâ⬠have included reader-response, Marxist, new historicism, psychoanalytic, and even deconstruction analysis. While each of these alternatives provides an individualistic prospective on the poem, they are all somewhat different, and can even be objective at times depending on the reader in question. While ââ¬Å"The Rimeâ⬠may have been constructed to address slavery, the economy, or even morality, it can also be greatly appreciated when looke... ...ations of his work (Fry, 8). A short time later, Coleridge died, but only after some of the most peaceful years of his life. ââ¬Å"The Rimeâ⬠is a supernaturally based poem, which is full of imaginative symbolism and imagery. Despite its numerous revisions, it is still a defining piece of literature from the Romantic period. While several approaches can be taken to investigate the poem, a biographical analysis provides an insightful look into the life of the author that created the work. In ââ¬Å"The Rime,â⬠Coleridge has the Mariner facing many of the same obstacles that he faced throughout his life, including death, isolation, constant wandering, and a final search for salvation. Works Cited Coleridge, Samuel. ââ¬Å"The Rime of the Ancient Mariner.â⬠Fry 26-75. Fry, Paul, ed. The Rime of the Ancient Mariner. Boston and New York: Bedford / St. Martinââ¬â¢s, 1999.
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