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I m really impressed with their service. They always deliever before time. They do excellent job in the writings. Hypotheses should be bold assertions of expectations that lend themselves to falsification. They gain in credibility as they survive attempts to test them -- i. Admittedly, it is intellectually more satisfying to propose hypotheses that are supported rather than falsified through data analysis. Whether your hypotheses are supported or falsified will have no effect on the paper's grade.

Whenever possible, formulate directional hypotheses, which invite falsification more readily than non-directional hypotheses. We will discuss the difference between the two soon. Also pay attention to the linkage between the concepts in your theory and in the way you operationalize those concepts in formulating your hypotheses.

Be careful not to throw away data by collapsing variables to do crosstabulations when they might more properly be analyzed instead through correlational and regression analysis. For example, the "thermometer" variables in the VOTE88 data are expressed from 0 to , while those in VOTE96 are collapsed into a few ordinal categories.

Report here the results of your statistical tests. Refer explicitly to the hypotheses being tested by number: H1, H2, and so on. In most cases, your data should report tabulations of statistics. If you use ordinal or continuous data, your statistics will involve correlation coefficients, regression coefficients, or results of t-tests or F-tests. Do not simply accept and report the format of SPSS computer printout. That's not very classy. Instead, reformat the data into tables like those in the Journal of Politics or someother professional journal.

Take some care in reporting your tables. Be sure to include the Ns on which any percentages are based. We will deduct points if Ns are not included. Statistical tables should contain all the information that the reader needs to analyze the test. Your job as writer is to point out the key features of the analysis, not to repeat all the numbers in the tables. The data are in the table; the text should be used to summarize its particulars. Please report correlations and slopes if you employ regression analysis only to the second decimal point.

Do not slavishly reproduce them to the ultimate decimal point from the SPSS output. If your analysis involves plots, you may use the PLOT printout if you label it properly and mount it on a page in your paper with aesthetic feeling.

Where possible, avoid reference to variables by their SPSS labels e. Instead, refer to them in more descriptive terms: This section should return you to the problem raised at the beginning of the paper. It provides the link between your narrow data analysis and the broader intellectual concerns with which you began. You might start by summarizing the results of your statistical tests and determining whether your research supported or contradicted prevailing theory.

A few of them are still students. While majority of them were married, a lot were still in a status of live-in and are single. More than half of the mothers did not have previous children before the current one. Majority of the respondents also have an annual gross household income that does not exceed P50, They influence the mothers in deciding to feed the baby with formula and in choosing, as well, which brand of formula is best for their babies. Mothers were overall not concerned about the possible side effects of breastfeeding as a few were only worried as shown in the data presented.

It can be concluded that numerous internal as well as external factors influence a mother in making infant feeding decisions, and a greater fraction of these is socio-economic in nature. Check out our quiz-page with tests about:. Retrieved Sep 10, from Explorable.

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