Free Essays on Workaholism

A Case of Market Culture: Workaholism There is an addiction that is prevalent in our society and of rising concern. Workaholism is a very modern concept which society tends not to recognise it as a problem. It is not a traditional type of addiction, and one that still isn’t fully understood. The effects of workaholism are far more severe than people realise. There is a fine line between loving to work and workaholism, which is a line that is very difficult to define. Even the difference between wanting to succeed and being a workaholic is minor. In order to find this point, certain considerations must be made. Consideration of the cultural values of a society is essential, because the expectations in different cultures differ vastly. The individual psychology of a person should be evaluated, because it is not society as a whole that holds the beliefs of a workaholic. Obsession with work threatens health, relationships, communities and the environment (Sumner, 2003). It is a subculture that has become part of our lives and can have great impact on society. The problem of workaholism exists when work success is seen as a measure of our self-worth. Hard-workers are acknowledged and appreciated in society and so it is difficult to see it as a hazard. This is why it is such an unassuming subculture. People become addicted to work for a number of reasons, including the innate desire to be successful. Work is satisfying to people because they like to succeed and jobs are a medium to measure their success. People have goals that they strive to achieve, and when they attain them they have internal feelings of pride, a sense of accomplishment and achievement. Over achieving can result in praise and promotion, and therefore, success. A workaholic is an overachiever that cannot differentiate between work and their personal lives. Many people in the workforce are faced with workaholism because balancing personal and career demands can be a ma... Free Essays on Workaholism Free Essays on Workaholism A Case of Market Culture: Workaholism There is an addiction that is prevalent in our society and of rising concern. Workaholism is a very modern concept which society tends not to recognise it as a problem. It is not a traditional type of addiction, and one that still isn’t fully understood. The effects of workaholism are far more severe than people realise. There is a fine line between loving to work and workaholism, which is a line that is very difficult to define. Even the difference between wanting to succeed and being a workaholic is minor. In order to find this point, certain considerations must be made. Consideration of the cultural values of a society is essential, because the expectations in different cultures differ vastly. The individual psychology of a person should be evaluated, because it is not society as a whole that holds the beliefs of a workaholic. Obsession with work threatens health, relationships, communities and the environment (Sumner, 2003). It is a subculture that has become part of our lives and can have great impact on society. The problem of workaholism exists when work success is seen as a measure of our self-worth. Hard-workers are acknowledged and appreciated in society and so it is difficult to see it as a hazard. This is why it is such an unassuming subculture. People become addicted to work for a number of reasons, including the innate desire to be successful. Work is satisfying to people because they like to succeed and jobs are a medium to measure their success. People have goals that they strive to achieve, and when they attain them they have internal feelings of pride, a sense of accomplishment and achievement. Over achieving can result in praise and promotion, and therefore, success. A workaholic is an overachiever that cannot differentiate between work and their personal lives. Many people in the workforce are faced with workaholism because balancing personal and career demands can be a ma...

How To Design a Science Fair Experiment

How To Design a Science Fair Experiment A good science fair experiment applies the scientific method to answer a question or test an effect. Follow these steps to design an experiment that follows the approved procedure for science fair projects. State an Objective Science fair projects start with a purpose or objective. Why are you studying this? What do you hope to learn? What makes this topic interesting? An objective is a brief statement of the goal of an experiment, which you can use to help narrow down choices for a hypothesis. Propose a Testable Hypothesis The hardest part of experimental design may be the first step, which is deciding what to test and proposing a hypothesis you can use to build an experiment. You could state the hypothesis as an if:  If plants are not given light, then they will not grow. You could state a null or no: There is no difference in the size of beans soaked in water compared with beans soaked in saltwater. The key to formulating a good science fair hypothesis is to make sure you have the ability to test it, record data, and draw a conclusion. Compare these two hypotheses and decide which you could test: Cupcakes sprinkled with colored sugar are better than plain frosted cupcakes. People  are more likely to choose cupcakes sprinkled with colored sugar than plain frosted cupcakes. Once you have an idea for an experiment, it often helps to write out several different versions of a hypothesis and select the one that works best for you. See  Hypothesis Examples Identify the Independent, Dependent, and Control Variable To draw a valid conclusion from your experiment, you ideally want to test the effect of changing one factor, while holding all other factors constant or unchanged. There are several possible variables in an experiment, but be sure to identify the big three: independent, dependent, and control variables. The independent variable is the one you manipulate or change to test its effect on the dependent variable. Controlled variables are other factors in your experiment you try to control or hold constant. For example, lets say your hypothesis is: Duration of daylight has no effect on how long a cat sleeps. Your independent variable is duration of daylight (how many hours of daylight the cat sees). The dependent variable is how long the cat sleeps per day. Controlled variables might include amount of exercise and cat food supplied to the cat, how often it is disturbed, whether or not other cats are present, the approximate age of cats that are tested, etc. Perform Enough Tests Consider an experiment with the hypothesis: If you toss a coin, there is an equal chance of it coming up heads or tails. That is a nice, testable hypothesis, but you cant draw any sort of valid conclusion from a single coin toss. Neither are you likely to get enough data from 2-3 coin tosses, or even 10. Its important to have a large enough sample size that your experiment isnt overly influenced by randomness. Sometimes this means you need to perform a test multiple times on a single subject or small set of subjects. In other cases, you may want to gather data from a large, representative sample of population. Gather the Right Data There are two main types of data: qualitative and quantitative data. Qualitative data describes a quality, such as red/green, more/less, yes/no. Quantitative data is recorded as a number. If you can, gather quantitative data because its much easier to analyze using mathematical tests. Tabulate or Graph the Results Once you have recorded your data, report it in a table and/or graph. This visual representation of the data makes it easier for you to see patterns or trends and makes your science fair project more appealing to other students, teachers, and judges. Test the Hypothesis Was the hypothesis accepted or rejected? Once you make this determination, ask yourself whether you met the objective of the experiment or whether further study is needed. Sometimes an experiment doesnt work out the way you expect. You may accept the experiment or decide to conduct a new experiment, based on what you learned. Draw a Conclusion Based on the experience you gained from the experiment and whether you accepted or rejected the hypothesis, you should be able to draw some conclusions about your subject. You should state these in your report.