In order to recruit externally there is one important recommendation which will land up the company with the best candidates. It is important to set benchmarks and by paying careful attention to certain areas within the business and they are as follows: strategic planning strategic leadership training and development growth personal and organizational balance in work and life avoid abnormal working hours like till midnight since no one wants to work this late. Quality of work life should be excellent a sufficient amount of growth and learning opportunities within the firm competitive compensation plans and benefits. Surveys and focus groups can help conduct a research in the market to learn about the benchmarks and then adapting the most competitive strategies in order to be the employer of choice. Market research is a good tool to survey within the organization and also outside the organization to collect relevant data and adapt the most competitive strategy to become the employer of choice in the market. In order to recruit internally one major recommendation which will keep all employees motivated and satisfied is as follows: candidates should be evaluated on their potential rather than only on their proven successful track record. An appropriate balance between potential and past track record of candidates be considered for their selection internally.

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Salaries of existing employees must always be increased and brought up to par with new incumbents and this can be done with special salary increases. these are just model papers, please place custom order for academic essays, term papers, research papers, thesis, dissertations, case studies and book reports. whenever you begin a research paper, there are things to do before you start running around the library or writing the paper to make it easier, less time consuming, and more enjoyable. Then, begin as early as possible in order to allow time for interlibrary loan, recalling books, and other snags. Manageable means that the topic isn't too broad or too narrow so that you would need more time or so you can't find enough information.

Although deciding on a topic sounds simple, you'll regret it later if you choose one quickly without doing some looking around first. You'll have to spend a lot of time and energy on it, and there's more chance you'll do a good job if it's something you want to know more about. Ideas you can get some ideas by browsing among current periodicals newsweek, time, editorial research reports . Or by browsing through issues of the readers' guide to periodical literature.

If it is too narrow, too specialized, too new, too limited in appeal, you may not find enough material. Narrow the subject by focusing on a narrower time span, a smaller place, a specific group of people, a specific event, or specific individual. If it is a busy semester, choose a topic you know something about and that is common enough to be found easily. It is better to do a smaller project well than to do a sloppy job on a more elaborate project. You will run into snags: you need interlibrary loan, you need to recall a book, you need to visit other libraries, etc.

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Allow time for the frustrations of using a busy library: lines at the copy machines, books not on shelves. Then plan for enough time to read the material and think about it before writing your paper. For example, you can analyze or explain, narrate events or developments, argue pro or con, or be humorous or serious. Each aspect requires different sources of information so it is important to establish what aspect of the topic interests you most from the beginning. You could look at the engineering aspects of trucks, energy and environmental issues related to trucking, government regulation of the trucking industry, truck driving music, women truck drivers, or the language of trucking. It is true that a topic needs to be adjusted as the information is gathered, but you should always know what topic you are searching. Not having a clear idea of what you're looking for is dangerous because you are likely to get off track and waste time you can't afford.

Sure the introduction to any paper introduces your paper to the reader, but the introduction section is more important than that to an academic paper yes, that's what you are writing. There are many papers and journals out there in the world for social scientists to read. your introduction needs to convince the sociologist that he or she needs to spend precious time reading your paper. if you can't show why studying your dependent variable is important in a couple of paragraphs, then you need to get a new dependent variable. Why are things interesting or important? perhaps it is because the topic is controversial some people believe/feel/act one way, and some another.

In this section, the main question that needs to be answered is what has been written before on your topic? in particular, you are interested in what has been written concerning any relationship between your dependent variable and your independent variables. In a normal academic paper, you need to demonstrate that you know every detail of the material important to your hypotheses. However, in this class i am only asking you to produce a minimal literature review.

I would begin by looking for articles using alternate terms which have the same meaning as your concept. The method section has three parts: this analysis utilizes interview data collected by the national opinion research center norc in the 1994 general social survey hereafter gs s. The gss, a nationwide annual survey, offers the advantage of multi stage probability sampling and can be considered representative of english speaking, noninstitutionalized adults 18 years of age and older living in u.s. This examination of the relationships between x, y, and z relies on a subset of 958 of the 2992 original respondents. The data extract includes only questions asked on both interview ballots b and c for version 2 of the 1994 gss.

This provides the researcher with a continuous set of questions with a lower number of missing cases however, the trade off is the lower number of total cases. Following is a brief description of the variables considered and of the frequency distributions for these variables. Start with your dependent variable how was the question asked in the survey? what were the response categories? if you had to recode the response categories, what are the categories that will be used in your analysis? what is the distribution of the dependent variable? answer the same four questions with each of your independent and control variables in your analysis.

what type of analysis are you going to do?

in this class we are going to concentrate on making sure you can calculate univariate frequency distributions, crosstabular analysis, including control variables, and regression analysis. Then you begin your examination of whether those hypotheses were supported by the data. What this means is that the computer builds a crosstab table to examine the relationship between your iv and db for each responce category of the control variable. For example, if i were interested in the relationship between political party partyid and frequency of sexual relations sexfreq and i controlled that relationship by sex. Spss would build a table crossing partyid and sexfreq for males and another table crossing partyid and sexfreq for females. If i had controlled by age instead, spss would have built a table crossing partyid and sexfreq for each age category. Each of these separate tables will have its own chi square statistics and its own lambda and/or gamma statistics if you asked spss to calculate statistics. now, for the write up there are just about 5 different variations for the controlled crosstab write up.

One of the major factors in deciding which variation you use will be the relationship you originally observed between your iv and dv in your earlier crosstabular analysis. Here we go: the first two cases occur when your initial crosstabular analysis weren't significant. if the original crosstabular analysis relating your independent variable and dependent variable was not significant and you look at each crosstab table for every level of your control variable and they are still not significant. You can then say: my original relationship was not significant and when controlled by my control variable, z, the relationship remained non significant. The relationship between x and y is not caused by the influence of z . if the original crosstabular analysis relating your independent variable and dependent variable was significant and you look at each crosstab table for every level of your control variable and all of the crosstab tables are not significant, then you can say: my original relationship was significant, but controlling for z, the relationship now appears to be spurious. This case is, of course, what most of you are likely to see when you look at your controlled crosstabular analysis. If the original crosstab comparing your independent variable and dependent variable was significant and you look at each crosstab table for every level of your control variable and see that some of the tables are significant and some are not significant, then you will need to make a judgment call.

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Here's the judgment: were there enough respondents in each of the controlled crosstab tables? why is this the important judgment call? we know that as your n in a crosstab table increases that smaller differences are more likely to be considered statistically significant. It is possible that your data still exhibits the same patterns in the percentages that you saw in your earlier crosstab. But since your sample is divided across several tables it won't be statistically significant. if you believe that the table does show the same pattern, but fails to be significant due to a small number of respondents. If you can argue that for all the controlled crosstab tables that aren't significant if there aren't too many , then you could state that it appears that the relationship between x and y persists when one looks at the patterns in the column percentages however, some of the controlled crosstab tables are not statistically significant. otherwise, you will need to argue that the control variable mediates the relationship. That is, the control variable really helps delineate in which situations the relationship holds.

For instance, you might find that your relationship between x and y holds for whites but not for blacks or holds for males but not for females. In this case you will need to report the significant relationships like you did in crosstab 1. regression point value 10 we didn't get to regression this year, however, i would like to point out a few things that you will have to interpret. We look at the f statistic and its significance to determine if the model is significant. We look at the r square to determine the amount of variation in the dependent variable that can be explained by the variables in the model. These tell us whether each iv is significantly related to the dv, controlling for the other variables in the model.