Gothic Barock Essays

Gothic Barock Essays Gothic Barock Essay Gothic Barock Essay Due to the different timeperiods this styles where developed, they give a totally different impression to the viewer. In the time when the gothic style was developed, the whole of europe was dominated by the ideas and influence of the church. So most of the gothic buildings are churches, or cathedrals The cathedrals had outsatnding hights and often dominated the whole skyline of a city which was also a sign of the power that the church had. Especially the early- and middle-Gothic buildings where build of big grey stones blocks which made them appear dark and mystik In the late gothic the architects became more advanced in the use of decorations and glasswindows, which made the buildings appear a bit more friendly. The Barock style of architecture started it s dvelopment in the 16th century. The only ones which could really afford this kind of architecture where certain rich families, the church and the monarchs. The style of Barock architecture always appears a bit exagerrated. The Barock style of architecture is also much more advanced and developed then the Gothic style of architecture The Barock stlye consits of much more movements and motion. While the Gothic has it s special heavy-dark appearance, the Brock style looks much lighter and full of shapes and variety. Inside the buildings it is pretty much the same contrast. While the Gothic buidings were kept more basic inside. The first thing you normally recognize when you enter a gothic building, is the hight of the sealing. The inside s are decorated with woodwork and paintings which where hanging at the wall. The whole impression is more pure and basic but still facinating. The Barock buildings where filled with wallpaintings, stucco and other decoratinons. Parts of the walls and doors where often painted with patterns and shapes, most often this was done with gold colour. The Barock buildings even look too much deorated and too exagerrated. They seem to drown in colours and shapes. : In general we always have to keep in mind that these styles of architecture developed under totally different circumstances. Both styles were strongly an expression of superiorty, domination and power of the rich, the monarchs and the church.  Both styles where enourmous achievements for their time, and even if the Gothic lookes more plain and simple to us, it must have been an a totally new dimension for the people at that time.  I think that the Barock style of architecture is really a bit too exagerrated. I think it just looks too much.

Saint Josephs University Admissions - What It Takes

Saint Josephs University Admissions - What It Takes Saint Josephs University in Philadelphia admits over 78  percent of the applicants. Students with good grades and a strong application are likely to be admitted. To learn about the school, including application requirements and deadlines, be sure to visit the schools website, or get in touch with the admissions office at Saint Josephs. SJU is test-optional, so applicants are not required to submit SAT or ACT scores. They will need to send in an application and high school transcripts, however. Calculate your chances of getting in with this free tool from Cappex. Admissions Data (2016) Saint Josephs University Acceptance Rate: 78  percentTest Scores 25th / 75th PercentileSAT Critical Reading: 520 / 610SAT Math: 530 / 620What these SAT numbers meanACT Composite: 23  / 28ACT English: 23  / 29ACT Math: 23  / 27What these ACT numbers meanGPA, SAT and ACT Graph for Saint Josephs: SJU is test-optional, but you can see data from Cappex on test scores. International students from non-English speaking countries must submit either a TOEFL or SAT/ACT language to show English proficiency.SAT comparison for Catholic collegesACT comparison for Catholic collegesAtlantic 10 Conference SAT score comparisonAtlantic 10 Conference ACT score comparison Saint Josephs University Description Located on a 103-acre campus in western Philadelphia and Montgomery Country, Saint Josephs University is a highly-regarded private Catholic University with a history dating back to 1851. The colleges strengths in the liberal arts and science earned it a chapter of  Phi Beta Kappa. Many of Saint Josephs most popular and distinguished programs, however, are in business fields. Undergraduates can choose from 75 academic programs. In athletics, the Saint Josephs Hawks compete in the NCAA Division I  Atlantic 10 Conference  as well as the Philadelphia Big 5 conference. Lacrosse competes in the  Metro Atlantic Athletic Conference. Enrollment (2016) Total Enrollment: 8,415  (5,377  undergraduates)Gender Breakdown: 45 percent male / 55 percent female87  percent full-time Costs (2016-17) Tuition and Fees: $43,020Books: $825 (why so much?)Room and Board: $14,524Other Expenses: $1,205Total Cost: $59,574 Saint Josephs University Financial Aid (2015 -16) Percentage of Students Receiving Aid: 97  percentPercentage of Students Receiving Types of AidGrants: 97 percentLoans: 60 percentAverage Amount of AidGrants: $22,407Loans: $10,017 Academic Programs Most Popular Majors:  Accounting, Business Administration, English, Finance, Health Services, Marketing, Psychology,  Special EducationWhat major is right for you?  Sign up to take the free My Careers and Majors Quiz at Cappex. Graduation and Retention Rates First Year Student Retention (full-time students): 91  percent4-Year Graduation Rate: 72 percent6-Year Graduation Rate: 80  percent Intercollegiate Athletic Programs Mens Sports:  Lacrosse, Rowing, Cross Country, Track and Field, Basketball, Baseball, Golf, SoccerWomens Sports:  Field Hockey, Lacrosse, Soccer, Rowing, Basketball, Tennis, Track and Field, Cross Country If You Like Saint Josephs, You May Also Like These Schools Fordham University: Profile | GPA-SAT-ACT GraphDrexel University: Profile | GPA-SAT-ACT GraphTemple University: Profile | GPA-SAT-ACT GraphUniversity of Pittsburgh: Profile | GPA-SAT-ACT GraphArcadia University: Profile | GPA-SAT-ACT GraphBoston College: Profile | GPA-SAT-ACT GraphJames Madison University: Profile | GPA-SAT-ACT GraphPennsylvania State University: Profile | GPA-SAT-ACT GraphSyracuse University: Profile | GPA-SAT-ACT GraphFairfield University: Profile | GPA-SAT-ACT GraphUniversity of Delaware: Profile | GPA-SAT-ACT Graph Data Source: National Center for Educational Statistics

Difference between Real and Artifial in the Age of Digital Technology Essay

Difference between Real and Artifial in the Age of Digital Technology - Essay Example Digital technologies refer to accessing any information, anywhere, anytime through a digital device. It also allows interacting by sharing comments, feedbacks, live chats etc. furthermore, the digital media is very close to the forms of art and science. The technology, equipment and gears used are the scientific postmodern advancements that have been made and which greatly allow the digital media to take over. However, art also has a close link with the digital media which has influenced the media world (Angela, p251). Although arts is something which is created, innovated and formed by the imaginations of an artist, the meaning can be taken in another way which is the transformation and artificiality of the real picture. The digital media is not only influencing the scientific world, but it is also changing the role of an artist. An artist is meant to use his imaginations to produce creativity, but today the digital world has lead an artist to work on the transformations of reality to artificiality. Digital technologies have enabled powerful forms of artistic creation, simulation and special effects but there are already questions that artists have begun to ask. One of the question is that is the use of digital media a threat to the original innovation and imagination of an artist. A piece of art tends to show the imaginations of an artist conceiving the 3D world around us, however when it comes to digital technologies, science believes that there is more than just the 3D world. Thus, they call it ‘technoetics’. They use this word because they believe in recognizing the technology with the wide imaginations of an artist. They believe that the consciousness can be well represented through the digital technologies as the visualization is immense. The best example which can be seen around is the use of digitalization in images. It involves the use of new artistic creations, simulations and special effects that are done by the use of graphics in digit al technology. There is an original art in the visualization of reality into a painting, sculpture, drawing or photograph. A photograph captures reality and every photograph shows a new piece of art to the people. However, the use of digital media on such a photograph can change the view of the picture from being realistic to fiction (Monahan, p15). An image, despite being taken originally has to go through digitalization in this modern era. This includes alterations made on these images; transformations, editing and renovations. A graphic designer would hold the job to modify a real picture through the many tools available. The detailing and working on a picture would lead it to have special effects that would make it evident that the picture has been simulated. This way a picture loses its natural look and the originality that shows the vision of the artist. The original handmade work of an artist is the real form of artistic creation. Though digital graphics is also a type of art s which is greatly used in the modern era in place of handmade art works, it includes the use of graphic plates and digital pens. It is a form of art which allows an artist to express his views on a digital medium rather than a paper or canvas. This is the artificial form of artistic creation, not because of the difference in ideology, but because of the mediums of technology used in both these types. A practical example

Gun shooting problems Essay Example | Topics and Well Written Essays - 500 words

Gun shooting problems - Essay Example These laws vary widely and there is a need of promotions or campaigns to enhance public awareness. Following measures can be taken in order to prevent gun shooting at schools. There are many varieties of solutions each has different grades of expense and levels of security. These are designing of laws and policies to inhibit children from gaining access to guns, equipping all school entries, as well as all related rooms, with bulletproof doors within a school that automatically lock upon shutting, lower technology doors that should be opened only from the inside or from the outside with keys, introduction of jamblock, a portion of steel that can rapidly be protected under a classroom door, efficiently locking it and significantly reducing the movement of anyone determined on breaking in and Having metal sensors or .,detectors at the secure entry. 4. Social and cultural contexts: Crisis in youth culture educational institutions, especially public schools, Widespread availability and acceptance of guns, Drugs and medications, bullying, media and video games, areas with a strong conservative religious population Today in United States increasing gun violence in school and other areas of society become a serious national and social issue. The United States has been suffering from prevalent levels of gun violence yearly. There are greater than 100,000 Americans who become victims of gun violence every year according to US Centers for Disease Control and Prevention. Gun ownership is prevalent in United States and gun violence is rampant. Fatal school shootings at a widespread variety of schools have claimed over 400 undergraduates and faculty lives since columbine. In summer 2012, there have been may well publicized school shootings in America. On February 10, 2012 in Walpole, 14 year old students shoot himself in front of his fellow students. Former classmates opened fire on three students and kill them and injured six

Women on the Marketing Frontline Essay Example for Free

Women on the Marketing Frontline Essay This is the changing scenario of world, where globalization has an impact on the conscience of world economy. Foreign stakes in Indian Industries opened global avenues for Indian venture. Strategic planning of staffing emerged as the extreme need for the Corporate and industries, to hold the league of competition. In India few years back where every segment of the opportunities were opened only for males. Hence Indian industries tend to be called as male dominated. Today the women of India are on equal status as much as their male counterparts whether that is public or private Sector. As we know some of the sectors / fields had a male dominance but today it is on the equal anvil. Women also have tremendous opportunities in pre male dominated sector i. e. marketing. There are major firms in India opt for women presence in the field of marketing especially Pharma Marketing. Long ago when Tie-walas were the beauty of clinics and hospitals at the outside in waiting queue most earnestly than patients, is now like a shifting paradigm of this job profile in India. Now a day’s responsibility has been taken over by their female counterparts. Doctors might have some relax session after the close hours with the patients. Today it is a common sight to see a lady medical representative (MR) or lady field executive waiting alongside a group of male MRs for her turn to call on a doctor. Likewise, at cycle meetings and product launch meetings, the sight of a lady Product Executive (PE) or lady Product Manager (PM) conducting the meeting is also a familiar sight. But such was not the case two-three decades ago. Traditionally, in 1970s and early 1980s, the Indian pharmaceutical industry, like most other industries, was a male dominated industry. Girls graduating in pharmacy in 1980s were chosen mainly for quality control or packing department, while post-graduate ladies were chosen either in analytical development or formulation development or they ended up teaching at pharmacy colleges. On their part, ladies too, preferred to tread only on the tested paths and hardly dared to experiment with newer career options. In the late 80s wave changed. With more girls opting for pharmacy than boys, a few girls ventured into the unexplored terrains of pharma marketing and sales. Indian companies such as Gufic Laboratories, Unichem and Lupin Laboratories were among the foremost to give ladies a chance in the typical male-dominated jobs such as MRs and PEs. Have women done their new role in pharma marketing and sales? Now we know sky is not the limit for the females as they have been empowered by their own vital thinking, whereas experts have an interesting expression Women tend to opt for a more open environment. However, we notice that companies in general are beginning to hire women, as they prove to be far more committed, added Sanjeev Duggal, MD, NIS Sparta, an organization, which imparts sales training for companies. (Source: internet blog posted on 27 Dec. 2007) Nagpur is witness for projected growth in pharma sector where 1500 Male Representatives earn their bread and 125 female representatives exist comparatively at lower ratio level. Every year 35% male left the jobs from pharma sector. It again gets high on the female part i. e. 60%. Women mainly deprived of maternity benefits which remain matter for concern after marriage according to Shri D. G. Deshpande Secretary- MSMRA (Maharashtra Sales and Medical Representatives Association). On the other hand Shri V. S. Ranade Vice President FMRAI (Federation of Medical Sales Representatives Association of India) put his positive remark on the maternity benefits. Accordingly females are now entitled for these benefits as it was not on the list of companies agenda. This very step have brought radical change and proved helpful for the recruitment of females in the sector. In a detailed discussion with Mr. D. G. Deshpande on the female entrance and presence in the pharma sector, we came to know that their organization is concerned for working hours that should be not more than eight hours. Being a woman, security always comes first after the convenience. It is clear that job for female MRs more secured than it was earlier. It is sure that different motto can be considered while recruiting these charms towards high outcome in business. In a hectic field schedule some can find lovely atmosphere at their field work that might help to increase energy amongst colleagues. Female Representatives are welcomed by Doctors with increased interest at the detailing side of the business by these female MR. Our society even has raised their thumb as the backbone for the profession in women. Dr. Anad Asia generously made his positive statement for the work of female MR. Everyone knows male dominance as prevalent in a sector and even was the identity of the same which initially was the hurdle while Ms. Shital Analkar got selected by one of leading pharma company Cipla Protec. Shital’s family unwillingly gave their consent for the pharma job but gradually they find it more secure and even lucrative. When we thought about business it is competition make every venture more comprehensive. It is spirit get ignited when workplace cheered after the achievements appreciated, if it is crowned by female representatives. Boys even feel the heat if the stance made by a lady MR, which itself spread the sense of competition. Then it is regardless to say this has proved fruitful for organization. Mr. Anup Detharia ASM, Zydus (Cadila) gave concluding word to his responsibilities, sometimes arranged in above manner. Even colleagues expressed their amiable relationship with the female counterparts when had the discussion with Mr.  Akash Wadibhasme MR Zydus (Cadila). To get up to the doctors and made them write specific prescriptions is not an ending task of pharma marketing. After the successful detailing, retailing brings sales outcome. Concluding visit in evening with retailers distributors pave an extra way to meet the demand that created by MRs towards their sales target. It is hazardous when MRs neglect or remain irregular at this point. Once demand come into action it is necessary to be available in market sufficiently. Retailers again found that all irregularities curbed out since the presence of female MR. When drugs are prescribed it should be available with market and once it is available throughout the market it is again to be sold out in time, it is only when visits being carried out regularly. M/s Bakshe Medical and General Stores leading chemist put his expression to back up the ladies force. These female MR are the face of the company and much of what they do and sell on the field; reflect in the companys bottom-line. However, pharma companies spurt like mushrooms. Some flourish. Some vanish. While these charming messengers of life-saving drugs work, sure for their future.

The Importance of Joseph Conrad’s Congo Journey Essay -- Biography Bio

It was the year 1868. A young boy of about nine years of age stood looking at a map of Africa. The boy raised up his hand and stuck his finger directly into the middle of the â€Å"dark continent.† â€Å"When I grow up I shall go there,† said this boy with great enthusiasm (Conrad 13). Little did he know that some years later his childhood wish would come true. Joseph Conrad grew up to become quite the sailor, starting as an apprentice on a French vessel in 1875 and working his way to become a master of English ships from 1878-1889 (Jean-Aubrey 19). He spent fifteen years at sea, traveling to destinations all over the globe. After much traveling he returned home to Europe. While there, he tried desperately to find a new ship to command, but there were none available. He spent months searching and still could not find a ship to call his own. It was then, while stuck in Europe with nothing to do, that Conrad wrote Almayer’s Folly, his first novel. When Conrad was presented with the opportunity to go to the Congo in 1889, he did not hesitate. After months of correspondence between himself and members of the Societe Anonyme pour le Commerce du Haut-Congo in Brussels and the killing of a steamboat captain by natives in the Congo, Joseph Conrad was ready to journey deep into the heart of Africa. The first part of Conrad’s trip would take him to Brussels, where he would sign the final contract, obligating himself to serve for three years as an officer on river steamboats in the Congo. Conrad was to sail on the Ville de Maceio to get to â€Å"Boma, seat of the Government of the Independent State of the Congo since 1886† (Jean-Aubry 46). On the steamer, he traveled with a man by the name of Harou. He was a â€Å"Belgian officer who had mad... ...e, including â€Å"attacks of fever and gout† (Jean-Aubry 73). But, more importantly, the trip had changed who Conrad was. The best way to describe this change would be to quote his lifelong friend Edward Garnett who said, â€Å"Conrad’s Congo experiences were the turning-point in his mental life and that their effects on him determined his transformation from a sailor to a writer† (Garnett 8). Works Cited Conrad, Joseph. A Personal Record. New York: Harper, 1912. Garnett, Edward. Letters From Joseph Conrad 1895-1924. Indianapolis: Bobbs-Merrill, 1928. Jean-Aubry, Georges. Joseph Conrad in the Congo. New York: Haskell, 1973. Karl, Frederick Robert and Laurence Davies, eds. The Collected Letters of Joseph Conrad Vol. 1-6. New York: Cambridge U., 1983. Najder, Zdzislaw, ed. The Congo Diary and Other Uncollected Pieces. New York: Doubleday, 1978.

Slumdog Millionaire Analysis

The film †Slumdog Millionare† tells a compelling story of an eighteen year old Indian boy from the dirty slums of Mumbai who manages to cash in the main prize of the TV-show †Who wants to be a millionaire?† Combined with the directing of Danny Boyle and co-direction from Indian Lovleen Tandan, this 2008 movie is a great mash up between Hollywood and Bollywood. The film based on Vikars Swarup’s novel tells a dramatic and romantic story with a twist of humour through a set of very cogent actors. The protagonist of this movie is eighteen year old â€Å"slumdog† Jamal Malik. Taking Jamal’s past in consideration, it’s highly unlikely that an uneducated boy from the Mumbai slums is able to reach the final question of â€Å"Who want’s to be a millionaire?† Some people aren’t happy with this, and he is being accused for deceit. This is primarily what we are being introduced to in the opening scene, and it starts off with Jamal being interrogated and tortured by suspicious minds who think he has cheated. The story then flashes back in time to the day he participated on the TV show. Shortly after the story takes a leap back to his childhood, where Jamal and his brother, Salim, and some friend are running away from Indian officers for playing of private property. Throughout the movie we unravel more stories of his life, which ultimately helps him win the main prize. As Jamal continues to answer questions, he looks back at his childhood. We soon find out that Jamal’s mother is killed and that Jamal is forced to live on the streets with his brother, Salim. During their stay at the reckless streets of Mumbai they meet a girl named Latika. The three of them is then later discovered by a man who runs an orphanage where they get shelter and food, in return the children is sent out on the streets during the day to collect money as beggars. As it turns out the man is not as nice as he appears to be and Jamal and Salim manages to escape, unwillingly leaving Latika behind. Once again Jamal and Salim are back on the streets. As the story progresses Jamal is portrayed as a person who never gives up on what he sets out to do. In this context, it’s his quest to find the love of his life, Latika. His love for her sets him out on a life experiencing journey which finally places him in the seat of â€Å"Who wants to be a millionaire?† His brother, Salim on the other hand is portrayed as a more dynamic person. In fact he is quite unreliable, he is not an evil person, but his selfishness and hunger for money and control hurts the ones around him, tearing him apart from his own brother and rescinding their connection. As stated earlier there are flashbacks in this movie, in fact the flashbacks are present throughout the whole movie. The fascinating thing about this though is how cleverly the directors have combined two stories running parallel to each other, making them crash together during the end and creating the present. This leaves the viewer curious how Jamal will answer the final question in an exciting and creative way. Through clever camera use and light setting, the film has an intriguing feeling to it. There is a lot of shifting between warm colours and dark colours, the latter mostly used in dramatic and scenes shot during the night. The warm colours on the other hand create a feeling of heat which fits perfectly to the setting. Also the music plays a big role in setting the mood of the film. The use of Indian music especially furthers the intriguing feeling. Focusing on camera use, it’s interesting to see the way the directors shot scenes from a children’s point of view during the flashback scenes from Jamal’s childhood. This gives the viewer a feeling that the children are small compared to the big wide world. Furthermore a lot of close-up shots are used during conversations which give the viewer the ability to see more detailed facial expressions which is something that pulls the viewer more in to the story. Also worth mentioning is the contrast we see of the wealthy parts of India compared the poor parts through the use of camera. For example we get an overview from the Mumbai slum during one of the flashbacks; this really helps stating that India has had an enormous economic growth during recent years. In my eyes the film creates a message that’s telling you to never let go of your goals, and to be optimistic and focused. Just because someone grew up with a poor and tough childhood, it does not mean that this person have a lesser intellect life or is worth less than you. Anything is possible, with good dose luck. Subliminally I think this movie also wants to show off India’s present economic situation compared to a decade ago and how India’s wealth has increased. Personally I really enjoyed watching this film, one of the main reasons for that is the way the story is laid out. It makes it exciting and it also blows some new life in to the well know â€Å"Who wants to be a millionaire?† It is certainly not the first thing I would have thought making a movie about. The fact that behind every question there is a story is quite exciting and it leaves me waiting for the next turn. On this foundation, I strongly recommend this movie to everyone.

“A Conversation with my Father” by Grace Paley Essay

A Conversation with My Father is a fictional story about a daughter and her dying father. At his bedside, he asks her to tell a story. She tells a tragic story of a woman who gets involved in drugs because of her son but then the son leaves her and she is stuck in the drug lifestyle. She soon after decides to get her life back on track and she succeeds in doing so. The father rejects the daughters ending because he believes that she is avoiding tragedy. Through ambiguity and connotation in the conversation between daughter and father, Grace Paley shows that people are often afraid of confronting tragedy or even accepting it. Paley repeats the word end throughout the story. The father in A Conversation with My Father is the one that uses both words the most. In lines 6-7, the father says, Poor woman. Poor girl, to be born in a time of fools to live among fools. The end. The end. The father at first shows some sort of sympathy by recognizing that this woman was not in the best condition but he goes on to say that it is the end. By the end he means the end of her life and that her life cannot get back on track no matter what. Anytime that the narrator uses the word end it is meant to describe the end of the drug addict woman in the daughters story (Lines 6-8, 14). Grace Paley also has repetition of the word tragedy. The word tragedy is also ambiguous throughout the story. In line 9, the father says, what a tragedy. The end of a person. In this line the fathers usage of the word tragedy is not ambigious because it is clear that he is describing the end of the mother in the story. In line 14 the father says, Tragedy! Plain tragedy! Historical tragedy! In these lines it is unsure in what context that father is talking about tragedy. It is hard to tell whether he is talking about the character from the story or his own daughter. It seems like he is most likely talking about his daughter because in the line before that he says, You dont want to recognize it. The you refers to the daughter and the it refers to tragedy. The father believes that a weakness of his daughter is that she does not recognize or accept tragedy. The usage of the word tragedy and end together is what helps get Grace Paleys point across to the readers in this story. In several lines the father  mentions both words together in order to show that people are afraid of confronting tragedy or even accepting it (Lines 9, 14). In line 9 the father states that the end of a person is tragic but the daughter goes on to show her naà ¯vetà © ness by saying that it does not have to be the mothers end because in reality, the mother could go on to be successful at her current job or become even more successful at something else. It is this point in the story when the father tells the daughter that her writing is no good because she does not recognize tragedy and therefore there is no hope for her. After he tells her that there is no hope for her, he goes on to say The end. In that point in the story the phrase is used to describe how the father feels about his daughters future (Line 14). In the last line the father says, Tragedy! You too. When will you look it in the face? Here he is pointing out his daughters refusal to recognize or accept tragedy. He is calling her a tragedy because she will not recognize tragedy. At every point in the story before this, the author either used the word tragedy when talking about the mother from the story or about society as a whole but this is the point in the story when he lets his true feelings out. The father believes that society as a whole chooses not to recognize tragedy just like his daughter. He wants to show his daughter that she is turning into a tragedy because she will not accept tragedy like the rest of society. The father seems to believe that if you do not make tragedy a reality then you will become a tragedy yourself. Although there are specific examples throughout the story to show how the father believes that the daughter denies tragedy, there are several parts where the father also comments on the naà ¯vetà © of society when it comes to tragedy. In line 6 the father says, †¦born in a time of fools to live among fools. The word fools refers to society as a whole. The father is trying to say that we are all naà ¯vetà © because noone recognizes tragedy. He continues in this line to use the phrase the end (Line 6). The connotation of the phrase the end changes in this line. In this line it more refers to the entire general population instead of the specifically the mother from the story or his own daughter even though it seems like that is what he is referring to. In lines 22-23 the daughter says, Im sorry for her. Im not going to leave her there in that house crying (Actually neither would Life,  which unlike me has no pity.) By stating that the daughter shows that she does not believe in tragedy and that she refuses to let a story have a bad ending because it is immoral. This line not only shows that the daughter will not recognize tragedy but the second part, where she states that life would not leave the mother in the same condition either, proves that society feels the same way about tragedy. The phrase in the parentheses is interesting because it points out that life itself would not accept tragedy even though in general life pities no one. The whole point shows that although we as a people generally do not pity anyone or anything, we do make an acceptation for tragedy. The word tragedy and end are two very strong words in this short story. No other words would get the authors point across. The author used them ambiguously in order to get her point across to the audience. The father uses the story that he had his daughter tell to show her tragedy. He hoped to show her that people are afraid of it and that they often do not recognize it. He wanted her to realize her own tragedy before it led to her end because he believed that denying tragedy is what leads to failure or the end.

Factor Analysis Essay Example

Factor Analysis Essay Example Factor Analysis Essay Factor Analysis Essay Factor Analysis Introduction Basic Concept of Factor Analysis Factor analysis is a statistical approach to reduce a large set of variables that are mostly correlated to each other to a small set of variables or factors. It is also used to explain the variables in the common underlying factors. (Hair et al, 1998) Malhotra, 2006 mentioned that factor analysis is also an interdependence technique that both dependent and independent variables are examined without making distinction between them Conducting Factor Analysis 1. Formulate the problem In this research, researcher’s objective is to determine the factors that influence customers’ satisfaction with their internet service provider in Malaysia such as Streamyx, Digi Broadband, Maxis Broadband, P1 and others (Malaysia Central, 2011). Mall intercept was used to interview a total of 30 respondents at Midvalley Megamall. Questionnaires were distributed and respondents are required to show their degree of agreement with the statements below whereby means very strongly disagree and means very strongly agrees: [pic] [pic] Figure 1. 1: Input in SPSS . Is the data appropriate? a) The correlation matrix Base on the data above, the correlation matrix was run to examine if the factor analysis is appropriate. Variables opt to be inter-related in order to be suitable to conduct a factor analysis. In other words, if all the variables have nothing in common, they can’t be analyzed into common factor. Hair et al, 1998 indicates that rule of thumb for factor analysi s is a considerable correlation of 0. 3. Field, 2009 has emphasized that if there is any value greater then 0. 9, the variables may be omitted. According to the result, V3 (quality support), V5 (sincere interest in problem solving), V6 (prompt service), V7 (willingness to help), V8 (politeness) and V9 (knowledgeable) have high correlations about more than 50% (as highlighted in yellow) All the 5 variables may be inter-related under the same factor. |Figure1. 2: Correlation Matrix | | | |Kaiser-Meyer-Olkin Measure of Sampling Adequacy. |. 55 | | | | | |Bartletts Test of Sphericity |Approx. Chi-Square |166. 649 | | |df |36 | | |Sig. |. 000 | 3. Method of Factor Analysis After examining the suitableness to apply factor analysis in these data, right method of factor analysis would be selected. There are two approaches are the principal components analysis and common factor analysis. Malhotra 2006 indicates that principal components analysis takes into account the total variation of the data to generate the factor. In this research, principal component analysis is employed as the objective is to identify least number of factors to explain a maximum variance. a) Communalities Figure 1. 4 below shows the table of communalities before and after extraction. The initial assumption of principal component analysis is that all variance is common. Hence, the communalities equal to 1 before extraction. (Field, 2009) The extraction explains the common variance of the data which show researcher the relationship of the variables with each others. So for example, 72. 3% of the variance related with V1 is common or shared. In this research, all 9 variables have accounted high value, hence, they fit well with the factor solution and none of them would be dropped from the analysis. Field 2009 mentioned that communalities after extraction to be of value above 0. 5. |Figure 1. 4: Communalities | |Initial |Extraction | |V1 |1. 000 |. 723 | |V2 |1. 000 |. 894 | |V3 |1. 000 |. 760 | |V4 |1. 000 |. 837 | |V5 |1. 000 |. 775 | |V6 |1. 000 |. 788 | |V7 |1. 000 |. 807 | |V8 |1. 000 |. 771 | |V9 |1. 000 |. 818 | |Extraction Method: Principal Component Analysis. | b) Eigenvalues In addition to the Principal Component Analysis, researcher would take into account the Eigenvalue which signify how much each factor explains towards total variance (Malhotra, 2009). At this stage, research would look into initial Eigenvalues. At the preliminary stage, the Eigenvalues will have 9 linear components which are as many factors as the variables. The results also display the percentage of variance explained, so for example factor 1 explains 48. 796 of the total variance. SPSS will then remove the eigenvalues less than 1 and only remain 3 factors which the column is labeled as ‘Extraction sums of Squared Loading’. Subsequently, SPSS generated the 3rd column which is rotated eigenvalue. Before rotation, factor 1 has explained greater variance. For the subsequent steps, researcher would look into several considerations of Eigenvalues in order to find out the numbers of factors that should be used in this analysis. |Figure 1. 5: Total Variance Explained | |Component |Initial Eigenvalues |Extraction Sums of Squared Loadings |Rotation Sums of Squared Loadings | | | . Determine the Number of Factors At this point, researcher would determine how many factors to explain the maximum variance. Malhotra, 2009 has specify 6 methods which are base on scree plot, eigenvalues, percentage of variance, significance test, split half reliability, and a prior determination. In this analysis, researcher has chosen 4 methods to determine the number of method. a) A Priori Determination This method is used when the researcher has prior knowledge of the number of factor that can be extracted beforehand. Hence, this ou tcome may be observed from the correlation matrix (Figure 1. ). There are possibilities that V3, V5, V6, V7, V8 and V9 will be one factor and hence, the remaining variables may be categorized another factor. Besides, researcher may denote the specific number of factors he or she wants. In this case, there are three factors is identified. b) Determination Based on Eigenvalues There is a criteria that researcher will to take into account when basing on Eigenvalues. Aaker et al, 2009 signify that factors with Eigenvalues that is lesser than 1. 0 will be ignored and excluded from the model. Hence, base on Figure 1. 5, only 3 factors is retained. Malhotra, 2009 adds on that the factors with Eigenvalues less than 1. 0 is as equal to single variable. c) Determination Based on Scree Plot A scree plot is plotted with Eigenvalues on the y-axis against the number of factors in x-axis. In general, the plot will show a distinct break with a steep slope or inflexion point on the curve due to the large Eigenvalues and the curve will tail off with the small Eigenvalues. The inflexion point represents the number of factors to be included according to experimental evidence (Malhotra, 2009). However, Malhotra (2009) notify that the scree plot may have more factors than the Eigenvalue criterion. As a result, Figure 1. 6 illustrates that three factors should be included in the model. [pic] Figure 1. 6: Scree Plot d) Determination based on Percentage of Variance In order to identify the number of the factors extracted, the cumulative percentage of variance extracted by factors should achieve a satisfactory level which is 60 percent. (Aaker et al, 2009). Therefore, referring to Figure 1. 5, the number of factors determined is two at 67. 476%. The satisfactory level (60%) falls in component 2 and confirms 2 factors. Figure 1. 7 is a summary of result of all the methods above. The result has shown that three factors would be a reasonable conclusion for factors to be included in the model. This is due to Eigenvalues result will be taken greater consideration than others determination even though determination base on cumulative percentage variance indicates 2 factors. |Method |Observation |Decision | |A Priori |Correlation matrix |3 factors | |Eigenvalue |Eigenvalue ; 1. |3 factors | |Scree Plot |Distinct break of scree |3 factors | |Cumulative percentage variance |Marginal % gain in variance |2 factors | Figure 1. 7: Summary of Numbers of Factor Determination 5. Factor Rotation Figure 1. 8 shows the component matrix which is also known as the unrotated factor matrix in factor analysis. The unrotated factor matrix denotes the relationship between the factors and individual variables. For example the factor loading V1 (Connection Speed) has large value of 0. 836 indicates that connection speed is closely related with the factors. As the factors are correlated with many variables, it is rarely that the results can be interpreted, even though the unrotated factor matrix shows the correlation between the factors and the variables. For instance, V2 and V4 are loading on two factors. So this makes researcher difficult to interpret the factors. Therefore, it is made easy for researcher to interpret the matrix generated if the factors are rotated. Figure 1. 9 shows the rotated component matrix. So what does it means by rotating the factors? The rotation is known as orthogonal rotation when the axes are retained at the correct angles (Malhotra, 2009). In this case, researcher has chosen the most commonly method which is the varimax procedure which boost interpretability by minimizing number of variables loading on a factor. Both unrotated and rotated component is set as not showing any loading lower than 0. 3 as it is insignificant for the model. The result of Figure 1. 9 shows three factors are extracted. It is clearly shown that V3, V5, V6, V7, V8 and V9 load highly on Factor 1. Although V3 and V5 load on more than one factor, it is significant that the loading value on Factor 1 is higher as compared. On the other hand, the loading for V1 may be uncertain. However, looking into various areas, V1 as connection speed seem to be related to V2 (Easy to connect). Hence, V1 with higher loading and V2 are correlated with Factor 2. In that case, V4 (Billing) only is loaded in Factor 3. |Figure 1. 9: Rotated Component Matrixa | | |Component | | |1 |2 |3 | |V1 | |. 648 |. 40 | |V2 | |. 942 | | |V3 |. 813 |. 308 | | |V4 | | |. 910 | |V5 |. 753 |-. 339 |. 307 | |V6 |. 872 | | | |V7 |. 898 | | | |V8 |. 873 | | | |V9 |. 898 | | | |Extraction Method: Principal Component Analysis. | |Rotation Method: Varimax with Kaiser Normalization. |a. Rotation converged in 5 iterations. | | | |Figure 1. 8: Component Matrixa | | |Component | | |1 |2 |3 | |V1 | |. 836 | | |V2 | |. 799 |-. 493 | |V3 |. 800 | | | |V4 | |. 508 |. 757 | |V5 |. 768 | |. 416 | |V6 |. 869 | | | V7 |. 897 | | | | V8 |. 874 | | | |V9 |. 901 | | | |Extraction Method: Principal Component Analysis. | |a. 3 components extracted. | 6. Interpret Factors Interpretation can be done by identifying the variables which have high loadings on the same factor (Malhotra, 2009). From the Rotated Component Matrix, Factor 1 has high coefficient with V3 (quality support), V5 (sincere interest in solving problem), V6 (prompt service), V7 (wiliness to help), V8 (politeness) and V9 (knowledgeable). All this variables are related to customer service which is the supporting service element. Therefore, Factor 1 is labeled as the supporting service. On the other hand, Factor 2 has high coefficient with V1 (connection speed) and V2 (easy to connect). Both variables are the core service of an internet service provider (ISP). Thus, Factor 2 is labeled as Core Service. Lastly, Factor 3 only has high coefficient with V4 (billing) and thus the factor is labeled as Facilitating Service (Billing). (Referring to Figure 1. 10) Figure 1. 10: Factor Labeling Supporting Service |Core Service |Facilitating Service | | |V1 (connection speed) | | | |V2 (easy to connect) | | |V3 (quality support) | | | | | |V3 (billing) | |V5 (sincere interest in solving problem) | | | |V6 (prompt service) | | | |V7 (wiliness to help) | | |V8 (politeness | | | |V9 (knowledgeable) | | | 7. Determine the Model Fit The determination of the model fit is the last step of factor analysis. This can be done by examining the difference between the observed correlation and the reproduced correlation. The difference is known as residual (Malhotra, 2009). Therefore, Malhotra, 2009 indicated that if there are more than 50% of residuals exist, the factor model is a poor fitting model. Examining the upper triangle of residual in Figure 1. 11, there are 21 (58%) of non-redundant residuals with absolute values greater than 0. 05. As a result, the factor model provides poor fitting to the data. Reconsideration towards the model needs to be taken. This issues occurs in this case might be due to small sample size of 30 or respondent bias. Hence, the model can be enhanced by increasing the sample size. |Figure 1. 11: Reproduced Correlations | | | |a. Reproduced communalities | |b. Residuals are computed between observed and reproduced correlations. There are 21 (58. 0%) nonredundant residuals with absolute values greater than 0. 05. | Conclusion In conclusion, factor analysis has reduced the data and summarizes the variables into 3 factors which are supporting service, core service and facilitating service. The method used, principals components analysis has determine the minimum number of factors which is three factors and yet explain as much as possible towards the variance. Regression Analysis Introduction Regression analysis is a statistical technique to analyze the relationship between a metric dependent variable (criterion variable) and one or more independent variables (predictor variables) (Malhotra, 2009). The aim for this procedure is to build a regression model or equation in relation to the dependent variable to independent variable(s) (Lind et al, 2010). In this case, multiple regression analysis is used when there are more than one independent variables. With the factors that were developed in Factor analysis, now the relationship between the dependent variables, V10 (Customer satisfaction) and three independent variables (Core services, Supporting Service, and Facilitating Services) In general, a multiple regression equation for predicting Y can be expressed a follows: (Berger, 2003) [pic] Conducting multiple regression analysis 1. State the Objectives The objective of this analysis is to predict the customer satisfaction towards ISP (Y) with the respect to the following independent variables (Xs): i. Supporting Services ii. Core Services iii. Facilitating Service 2. Plot the Scatter Diagram (Linearity) The relationship between variables can be determined through scatter diagram. It is plots the dependent variable on x-axis against the independent variable on y-axis. Plotting a scatter diagram may bring attention to the researcher to a pattern in the data and identifying possible problems (Malhotra, 2009) [pic] Figure 2. 1: Scatter Plot (Customer Satisfaction against Supporting Services) Figure 2. 1 has shown mere relationship between customer satisfaction against supporting services as it is complex to draw proper linear on the plot. [pic] Figure 2. 2: Scatter Plot (Customer Satisfaction against Core Services) Figure 2. shows similar result as the previous relationship that it has little relationship between customer satisfaction and supporting services. The number of outliers seems to be more extreme in this case. [pic] Figure 2. 3: Scatter Plot (Customer Satisfaction against Facilitating Service) Figure 2. 3 shows rather better result than the previous relationship that researcher can draw a straight line relationship between customer satisfaction and facilitating services. Base on the 3 scatter plot of different variables, there isn’t clear relationship towards the customer satisfaction. However, the plot may not be able to show clear linear relationship between variables as the sample size taken is only 30. Different results may occur if another 30 respondents is examined. In addition, this issue may be due to the sample size is base on convenient sampling and bias respondents. Figure 2. 4 below study the relationship between the three variables on hand. For example, if there is any variable that is highly related with another variable, one of them may be removed to create a better result in regression. According to Pearson Correlation below, there are mere relationships between supporting service and core services which is only 0. 005. Likewise, supporting services has small negative relationship with facilitating service. Lastly, the core services is about 27% towards facilitating services which is still consider as slightly related. |Figure 2. Correlations | | | |Supporting_ |Core_ |Facilitating_ | | | |Services |Services |Service | |Supporting_Services |Pearson Correlation |1 |. 005 |-. 056 | | |Sig. (2-tailed) | |. 978 |. 69 | | |N |30 |30 |30 | |Core_Services |Pearson Correlation |. 005 |1 |. 273 | | |Sig. (2-tailed) |. 978 | |. 144 | | |N |30 | 30 |30 | |Facilitating_Service |Pearson Correlation |-. 056 |. 273 |1 | | |Sig. (2-tailed) |. 769 |. 44 | | | |N |30 |30 |30 | Figure 2. 5 is a method which researcher used to cross check the variables entered into SPSS system. Listed variables are the independent variables which would influence the dependent variables which is the customer satisfaction. Incorrect input in the independent variables and dependent variables may causes error in output and mistake interpretation. |Figure 2. 5 Variables Entered/Removed | |Model |Variables Entered |Variables Removed |Method | |1 |Facilitating_Service, Supporting_Services, |. Enter | | |Core_Servicesa | | | |a. All requested variables entered. | 3. Estimate the Regression Model At this point, stepwise regression which is a procedure that the independent variables entered or removed from the regression equation one at a time is used in this analysis. There are several methods that can be used which include forward inclusion, backward elimin ation and stepwise solution. Backward elimination will be employed as all independent variables are included in the equation and the variable is removed one at a time. (Malhotra, 2009) a) Overall Fit of the Model Figure 2. is a summary of model which R denotes the correlation coefficient between independent and dependent variables (Malhotra, 2009). The result shows that 66. 5% of the independent variables (Facilitating Service, Supporting Services, and Core Services) correlated to customer satisfaction. Subsequently, the R-square signify how much the independent variables explain the variation of the dependent variables. The value indicates 0. 443 which interpret that 44. 3% of the total variation of customer satisfaction is accounted by the variation of the predictors. The models points out predictors explain 37. 9% which means 62. 1% of the variation in customer satisfaction is not explained. Hence, there opt to be other variables that influence the satisfaction. This issue occurs might be due to the small sample size. By increasing the sample size, the value of ‘r’ may increased to at least 0. 6 |Figure 2. 6 Model Summaryb | |Model |R |R Square |Adjusted R Square |Std. Error of the Estimate | |1 |. 665a |. 443 |. 379 |. 83194 | |a. Predictors: (Constant), Facilitating_Service, Supporting_Services, Core_Services | |b. Dependent Variable: Customer_Satisfaction | b) ANOVA Table With the model on hand, researcher will use the analysis of variance (ANOVA) to check if the model considerably good degree of ‘best guess’ the outcomes (Field, 2008). Referring to the result of ANOVA has generated F at 6. 889 with the significant level of 0. 001. This shows that the model can predict the outcome of the customer satisfaction significantly well. |Figure 2. 7 ANOVAb | |Model | |b. Dependent Variable: Customer_Satisfaction | |Regression Coefficients | |Figure 2. Regression Coefficientsa | |Model | At this step of the analysis, Figure 2. 6 shows the details of the model parameters with the beta values and significance of each variable. (Field, 2009) Before building any equation model base on the regression coefficients, the significant value of each variable is first taken into considerations. The t-statistic tests the null hypothesis that the b is zero. If researcher fail to reject the hypothesis, it indicates that the independent variable contribute si gnificantly to the customer satisfaction. The variable, facilitating service is at significant level of 0. 30 which is less than 95% confident level. This has indicated that the facilitating service is not important towards the customer service. Hence, this variable would be removed and regression analysis is rerun. As a result, facilitating service is removed and only left two variables which are shown as below (Figure 2. 7) |Figure 2. 9: Variables Entered/Removed (with Facilitating Service Removed) | |Model |Variables Entered |Variables Removed |Method | |1 |Core_Services, Supporting_Servicesa |. |Enter | |a. All requested variables entered. After removing the facilitating service from the model, R results shows that 62. 5% of the core and supporting service is related to the customer satisfaction. Figure 2. 10 shows that there is a slight decrease of R and R-square as compared to before removing which may indicate that facilitating service explain not much towards customer satisf action. a. Overall fit of the model with Facilitating Service Removed |Figure 2. 10: Model Summary with Facilitating Service Removed | |Model |R |R Square |Adjusted R Square |Std. Error of the Estimate | |1 |. 625a |. 390 |. 345 |. 85401 | |a. Predictors: (Constant), Core_Services, Supporting_Services | |b. Dependent Variable: Customer_Satisfaction | b. ANOVA Table with Facilitating Service Removed Figure 2. 11 shows a similar result as before omitting the facilitating service. The model has a good prediction of the outcome of customer satisfaction. |Figure 2. 1: ANOVA with Facilitating Service Removed | |Model | |b. Dependent Variable: Customer_Satisfaction | c. Regression Coefficients with Facilitating Service Removed After deleting the facilitating service (Figure 2. 12), researcher can observe the relationship between customer satisfaction and independent variables (supporting services and core services) from the b value. Deleting the facilitating service has made changes towards the values of b as compared to the earlier result. Thus, the core service has a beta value of 0. 492 larger than the supporting service of 0. 366. This would indicate that the core service which is the connection related variables would have a greater impact on the customer satisfaction over the supporting service (customer service). In addition, both independent variables have positive relationship with the customer satisfaction as the b value is positive. Thus, when the supporting services or core services increases, the customer satisfaction would increase as well. Moreover, Collinearity Statistics column helps to identify multicollinearity. As a rule of thumb, if the value of tolerance is below 0. 20, multicollinearity is a problem. The higher the correlation between independent variables, the smaller the value of tolerance becomes. Field, 2009) On the other hand, variance inflation factor (VIF) value has always been greater than or equal to 1. If the value of VIF is high, there is high multicollinearity and instability of the b and beta coefficients (Field, 2009). After deleting the unwanted variables, the tolerance value and VIF value and improved. Hence in this case, there isn’t a problem for multicollinearity. |Figure 2. 12: Regression Coefficientsa with Facilitating Service Removed | |Model | d. Collinearity Diagnostics Figure 2. 13 also helps indicate if there is any problem with multicollinearity. There isn’t very low Eigenvalue and high condition index; hence, they might be no indication of problem with multicollinearity |Figure 2. 13 Collinearity Diagnosticsa | |Model |Dimension |Eigenvalue |Condition Index |Variance Proportions | | | 4. Interpret Regression Variate With the current result, both variables seem to be contributed significantly to the model. And so, linear relationship equation can be generated with two independent variables: Y = ? + ? 1X1 + ? 2X2 The appropriate model will show as below when the ? is substitute with the value in Figure 2. 12: Customer Satisfaction = 0. 652 + 0. 366 (Supporting Services) + 0. 492 (Core Services) Furthermore, the model explains that even there is no supporting services and core services, there will be a minor satisfaction level (0. 652) which is the constant ? value. 5. Validate the results In order to validate the results of regression analysis, the plot below is generated. The examination of residuals provides useful insights in determining the appropriateness of the underlying assumptions and the regression model fit. Figure 2. 14 show that the graph shows a quite clear linearity. Hence the results of regression may be valid [pic] Figure 2. 14 Conclusions Through the regression analysis, the model below is generated. Customer Satisfaction = 0. 652 + 0. 366 (Supporting Services) + 0. 492 (Core Services) In conclusion, base on the sample size of 30, it is clear that facilitating services (billing) is not significant towards the customer satisfaction. As a result, the supporting services and core services is important in influencing the variation of customer satisfaction of internet service provider. The model may not be generalized to the population as the sample size is small and data is collected base on convenient sampling.

Up Style and Down Style

Up Style and Down Style Up Style and Down Style Up Style and Down Style By Maeve Maddox Book titles–and newspaper and magazine headlines–are usually formatted in one of two styles: â€Å"up style† and â€Å"down style.† Up Style This style calls for capitalizing the first and last words in the title or headline and all â€Å"major words† in the title. Not all style guides agree as to what should be considered a major word. Most agree that nouns, pronouns, adjectives, verbs, adverbs, and subordinating conjunctions (if, because, as, that, etc.) are major words and should always be capitalized. That leaves articles (a, an, the), prepositions, and coordinating conjunctions (and, but, or, for, nor) in the minor league where lowercase prevails. Unfortunately, as is frequent with arbitrary rules, style guides don’t always agree. Both the Chicago Manual of Style and the AP Stylebook agree that articles (a, an, the), and coordinating conjunctions (and, but, or, for, nor) should not be capitalized unless they are the first or last word of the title, but when it comes to prepositions, they differ. CMOS says never capitalize a preposition unless it is the first word in the title. AP says leave short prepositions in lowercase, but capitalize prepositions and conjunctions of four or more letters. Here is how the same title would be formatted according to CMOS and AP: CMOS: Four Theories concerning the Gospel according to Matthew AP: Four Theories Concerning the Gospel According to Matthew Most stylebooks state that all verbs are capitalized, including is, am, and be, but that the to of an infinitive is to be treated like a preposition and put in lowercase: How to Train Your Dragon, How to Be a Better Parent. Down Style The only words capitalized in down style are the first word of the title and any proper nouns that appear in the title: Four theories concerning the Gospel according to Matthew. (book title) Coastal Commission enters fray over San Mateo County beach access (headline) Down style has been adopted by many newspapers because it calls for fewer rules. The purpose of having style guides is to make reading pleasant by providing a clear, consistent manner of presenting written material. If you write for yourself, adopt any style you wish for your blog or other publications. If you write for hire, follow your employer’s house style. The following headlines and book titles taken at random from the Web illustrate the fact that not everyone follows the same stylebook: Journey Home Finally Begins for the Victims of Malaysia Airlines Flight (headline, NYTimes) Why Triumphant Jihadis In Iraq Will Help Assad Crush Opposition In Aleppo (headline, HuffPost) Modern Identity Changer: How To Create And Use A New Identity For Privacy And Personal Freedom (book listed on Amazon) Gone With The Wind (AMC filmsite.org) Gone with the Wind (Imdb) Gone With the Wind (Rotten Tomatoes) Hardball: How Politics Is Played, Told by One Who Knows the Game  (book listed on Amazon) How To Hide Anything  (book listed on Amazon) Why Government Fails So Often: And How It Can Do Better (book listed on Amazon) I’ll save the question of â€Å"Italics or Quotation Marks?† for another post on book titles. Want to improve your English in five minutes a day? Get a subscription and start receiving our writing tips and exercises daily! Keep learning! Browse the Style category, check our popular posts, or choose a related post below:Comparative Forms of AdjectivesPeople versus Persons75 Synonyms for â€Å"Hard†

Adult Education or Training Graphic Organizer Essay

Adult Education or Training Graphic Organizer - Essay Example It is against this background that this paper provides an explicit comparison of computer science PhD education in Germany and the USA. Higher learning institutions in both countries offer relative programs in this field of specification. Enrolls a comparatively lower number of students in the program and has a smaller population base to source students from. Hence classrooms are smaller and the professionals teaching the subject equally less. The learning environment and nature of program allows for limited attendance of conferences, public talks and publications of research papers. The government however funds for a significant percentage of publications made by the students. In sum, the computer science program at the Phd level in both countries is comprehensive and tasking. As it has come out from the graphic presentation, there are distinct variations in the nature and quality of the respective program. As aforementioned, this is attributable to a host of factors that range from resource availability to legislative and institutional policies governing the