25 Quotes to Inspire Thoughtful Written Sentiments

Sometimes its easy to take friends and family for granted, which is why showing appreciation is so important. As philosopher Voltaire said, Appreciation is a wonderful thing: It makes what is excellent in others belong to us as well. When you take the time to express thanks and gratitude, you help build and strengthen bonds of trust and love. It doesnt matter whether you send a card or make a phone call. Appreciation, however you express it, builds bridges and fosters healthy relationships. Of course, appreciation should always be sincere. For example, when you praise a family member for their cooking, mention what you specifically liked about the dish, and thank them for preparing it so well. If a friend has thrown you a surprise birthday party, offer your sincere thanks. Remember to say what you enjoyed most about the celebration. Everyone loves a thoughtful thank-you card, but finding the right words to show your appreciation is not always easy. The following is a list of quotes on the subject of appreciation and gratitude from well-known artists, writers, world leaders, and others to help you create your own special sentiments. You could also include the entire attributed quote if it makes sense. Maya Angelou: When we give cheerfully and accept gratefully, everyone is blessed. Guillaume Apollinaire: Now and then it’s good to pause in our pursuit of happiness and just be happy. Thomas Aquinas: There is nothing on this earth more to be prized than true friendship. Marcus Aurelius: Dwell on the beauty of life. Watch the stars, and see yourself running with them. Leo Buscaglia aka Dr. Love: Too often we underestimate the power of a touch, a smile, a kind word, a listening ear, an honest compliment, or the smallest act of caring, all of which have the potential to turn a life around. Henry Clay: Courtesies of a small and trivial character are the ones which strike deepest in the gratefully and appreciating heart. Ralph Waldo Emerson: A friend may well be reckoned the masterpiece of nature. Helen Keller: Words are never warm and tender enough to express ones appreciation of a great kindness. Dalai Lama aka Tenzin Gyatso: The roots of all goodness lie in the soil of appreciation for goodness. Washington Irving: Sweet is the memory of distant friends! Like the mellow rays of the departing sun, it falls tenderly, yet sadly, on the heart. President John F. Kennedy: As we express our gratitude, we must never forget that the highest appreciation is not to utter words, but to live by them. Steve Maraboli: Forget yesterday — it has already forgotten you. Dont sweat tomorrow — you havent even met. Instead, open your eyes and your heart to a truly precious gift — today. Willie Nelson: When I started counting my blessings, my whole life turned around. Marcel Proust: Let us be grateful to the people who make us happy; they are the charming gardeners who make our souls blossom. Albert Schweitzer: At times our own light goes out and is rekindled by a spark from another person. Each of us has cause to think with deep gratitude of those who have lighted the flame within us. Mark Twain aka Samuel Langhorne Clemens: To get the full value of joy you must have someone to divide it with. Kindness is a language which the deaf can hear and the blind can see. Voltaire: Appreciation is a wonderful thing. It makes what is excellent in others belong to us as well. William Arthur Ward: Flatter me, and I may not believe you. Criticize me, and I may not like you. Ignore me, and I may not forgive you. Encourage me, and I may not forget you. Booker T. Washington: Any mans life will be filled with constant and unexpected encouragement if he makes up his mind to do his level best each day. Mae West aka Mary Jane West: Too much of a good thing can be wonderful! Walt Whitman: I have learned that to be with those I like is enough. Oscar Wilde: The smallest act of kindness is worth more than the grandest intention. Thornton Wilder: We can only be said to be alive in those moments when our hearts are conscious of our treasures. Oprah Winfrey: Be thankful for what you have; youll end up having more. If you concentrate on what you dont have, you will never, ever have enough.

Drug Trafficking in America An Analysis - 2024 Words

Traffic - Analysis of the Film Introduction The 20th Century Fox film Traffic, written by Stephen Gaghan and directed by Steven Soderbergh, was clearly a brilliant piece of work and it received the highest recognition that films can achieve: it earned Oscars for Best Directing (Soderbergh), Best Supporting Actor (Benicio del Toro), Best Film Editing (Stephen Mirrione), and Best Adapted Screenplay (Gaghan). The film was also nominated as Best Picture but lost out to Gladiator (Rotten Tomatoes). Traffic certainly was a realistic film and its release in 2001 presented the public with a fairly un-Hollywood look into the trafficking culture, the users culture, and law enforcements sometimes clumsy attempt to put a stop to trafficking. Traffic also won 5 Golden Globe Awards and de Toro won the Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Leading Role. The New York Film Critics Circle named Traffic as the Best Film and Soderbergh as Best Director; Soderbergh also won other awards for his efforts, including the Toronto Film Critics Association Best Director Award. (Rotten Tomatoes). Soderbergh used three different approaches in order to present a slightly different view of the three stories within the film. The Salient Theme from Traffic Americas war on drugs is reminiscent of the Russian princess who sat weeping profusely at the death of the hero in a performance at the opera, while, at the curb, her waiting carriage driver froze toShow MoreRelatedConflict Analysis : Mexico And Central America1687 Words   |  7 Pages In this paper, I will focus on Policy Issues through Conflict Analysis in Latin America. First, I will talk about the differences and critiques in the Merida Initiative: Mexico and Central America. Then, I will focus on â€Å"Drug War†: Lenses, Frames, and â€Å"Seeing† Solutions. 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Statistic Sampling and Research Design Free Essays

Carlene Reyes 809000173 Question 2: Describe the relationship between research design and sample design Before examining both sample design and research design it is important to be clear about the role and purposes of each design. Research design is a plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that a hypothesis can be tested properly. Every type of empirical research has a form of implicit research design. We will write a custom essay sample on Statistic: Sampling and Research Design or any similar topic only for you Order Now A design is a logical sequence that connects to empirical data to a study’s initial research question and ultimately it, to its conclusion. According to Adam G Bluman in his book Elementary Statistic define research design as a logical plan from getting from here to there, where here may be defined as initial questions to be answered , and there is some conclusion (answers) to these questions . Another text book has described research design as a plan that guides the investigator in the process of collecting analyzing and interpreting observations. It is a logical method of proof that allows the researcher to draw inreferences concerning causal relations among the variables under investigations (Nachmias andNachmaias 1992 pp. 77-78). Research design can be seen as the â€Å"blue print† for your research, dealing with at least four problems what question to study, what data are relevant, what data to collect and how to analyze the results. As a result research design is more than just a work plan it is what makes social science scientific. In addition there are various forms of research design that can be broken up into both quantitative and qualitative research design. Qualitative research follows a naturalistic paradigm which is based on the idea that reality is not predetermined, but is constructed by the participants in the research (Vishnevsky and Beanlands 2004, p. 235). It aims at exploring the phenomenon in question by focusing on the individuals who experience it, assuming that it is possible to maximize the understanding of the phenomenon by minimizing the interpersonal distance between the researcher and the participant. Qualitative research in non-experimental, with no dependent or independent variables. The idea is to understand phenomena as a whole. Qualitative research is done â€Å"in the field† and requires ongoing data collection and analysis. The data collection and methodology are flexible, and allow for modifications throughout the research process, gathering subjective data that includes thoughts and perceptions of the participants and the researchers alike. Qualitative research does not choose a representative sample of the population, but only chooses as participants those who have rich experiences in the phenomena of concern, and the sample size is rarely predetermined, because researchers include as many participants as necessary to give an understanding of the phenomena (Vishnevsky and Beanlands, 2004, p. 235). Whereas, in quantitative research the researcher aim is to determines the relationships between one thing (an independent variable) and another (a dependent or outcome variable) in a population. Quantitative research designs are either descriptive (subjects usually measured once) or experimental (subjects measured before and after a treatment). Descriptive studies are also called observational, because you observe the subjects without otherwise intervening. Descriptive research provides answers to the questions of who, what, when, where, and how for example a study measuring various attributes of salespeople, a training program, or a retailing situation. Experimental studies are also known as longitudinal or repeated measures studies, for obvious reasons. They are also referred to as interventions, because you do more than just observe the subjects. However the sample design provides information on the target and final sample sizes, strata definitions and the sample selection methodology. It’s a relatively small subset selected from a population. Sampling design is a process of selecting a member of a unit for a study in such a way that the unit represents the larger group from which they are selected. Sampling makes possible the study of a large heterogeneous population. There are different forms of sampling design it can be classified as probability sampling and non-probability sampling. Probability sampling is a proportion and such sample is selected from the population by means of some systematic way in which every elements of the population has a chance of being included in the sample. With this research it is more complex its time consuming and more costly. Non probability sample is not a proportion of the population which there is no system in selecting the sample. The selection depends upon the situations no assurance is given that each has a chance of being included as a sample. The first form of probability sampling is Random sampling this type of sampling is one in which everyone in the population of the inquiry has an equal chance of being selected to be included in the sample. Its main advantage of this technique of sampling is that it is easy to understand and it is easy to apply too. Its disadvantage is that it is hard to use with too large a population because of the difficulty encountered in writing the names of the person involved. Another form of sample design is systematic sampling a technique of sampling in which every kth member of a list may be selected to be included. This form of sampling is called interval sampling there is a gap or interval between each selected unit in the sample. Its main advantage is that it is more convenient faster and more economical. Its disadvantage is that if the sample might become biased. Stratified sampling is another form of sampling the process of selecting randomly , samples from different strata of the population used in the study a sample obtained by dividing the population into groups, called strata according to the various homogeneous characteristic and then selecting members from each stratum for the sample . Its advantage is that it contributes much to the representative of the sample. Cluster sampling also called multi-stage sampling are used when the population is so big or the geographical area of the research is so large, it is therefore efficient to use. Its disadvantage is that it reduced accuracy or representativeness on the account of the fact that every stage there is a sampling error. Non probability sampling methods into two broad types are accidental and purposive. Most sampling methods are purposive in nature because we usually approach the sampling problem with a specific plan in mind. The most important distinctions among these types of sampling methods are the ones between the different types of purposive sampling approaches. In purposive sampling, researchers sample with a purpose in mind. We usually would have one or more specific predefined groups we are seeking. Accidental sampling is where the first set of available appropriate sample are used. To conclude research design function is to ensure evidence obtained enables us to answer the initial question as unambiguously as possible. Thus, we need to ask what kind of evidence is needed to answer these questions. Research design is thus equated with both qualitative designs whereas sample design is equated with both probability and non probability sampling. Sampling design involves taking a proportion of the population to do your research project. How to cite Statistic: Sampling and Research Design, Essays