Analytical results underscore the usefulness of data sources by shedding light on relevant issues. Some Statistics Canada programs depend on analytical output as a major data product because, for confidentiality reasons, it is not possible to release the microdata to the public. Data analysis also plays a key role in data quality assessment by pointing to data quality problems in a given survey. Analysis can thus influence future improvements to the survey process.
Since you'll be talking about your own interpretation of the results in the discussion section, you need to be sure that the information reported in the results section justifies your claims. As you write your discussion section, look back on your results section to ensure that all the data you need is there to fully support the conclusions you reach.
What About Renters? Our analysis above focuses on Proposition 13’s benefits for homeowners. Renters, however, also may receive some benefits from Proposition 13. Landlords facing slower increases in their property tax bills may be less inclined to increase rents. The extent to which landlords pass on their tax relief to renters is unclear. Because of this uncertainty, we are unable to quantify these benefits.
9. Make sure your proposal has a comprehensive review of the literatureincluded. Now this idea, at first thought, may not seem to make sense.I have heard many students tell me that "This is only the proposal.I'll do a complete literature search for the dissertation. I don't wantto waste the time now." But, this is the time to do it. The rationalebehind the literature review consists of an argument with two lines of analysis: 1) this research is needed, and 2) the methodology I have chosen is most appropriate for the question that is being asked. Now, why would you want to wait? Now is the time to get informed and to learn from others who havepreceded you! If you wait until you are writing the dissertation it is toolate. You've got to do it some time so you might as well get on with itand do it now. Plus, you will probably want to add to the literature reviewwhen you're writing the final dissertation.
Your analysis, along with your discussion, will form the high light of your thesis. In the IMRaD format, this section is titled “Results”. This is where you report your findings and present them in a systematic manner. The expectations of the reader have been built up through the other chapters, make sure you fulfill these expectations.
For a design-based analysis consult the survey documentation about the recommended approach for variance estimation for the survey. If the data from more than one survey are included in the same analysis, determine whether or not the different samples were independently selected and how this would impact the appropriate approach to variance estimation.
To be effective, the analyst needs to understand the relevant issues both current and those likely to emerge in the future and how to present the results to the audience. The study of background information allows the analyst to choose suitable data sources and appropriate statistical methods. Any conclusions presented in an analysis, including those that can impact public policy, must be supported by the data being analyzed.
Remember, the results section of your paper is all about simply providing the data from your study. This section is often the shortest part of your paper, and in most cases, the most clinical. Be sure not to include any subjective interpretation of the results. Simply relay the data in the most objective and straightforward way possible. You can then provide your own analysis of what these results mean in the discussion section of your paper.
Ensure that the data are appropriate for the analysis to be carried out. This requires investigation of a wide range of details such as whether the target population of the data source is sufficiently related to the target population of the analysis, whether the source variables and their concepts and definitions are relevant to the study, whether the longitudinal or cross-sectional nature of the data source is appropriate for the analysis, whether the sample size in the study domain is sufficient to obtain meaningful results and whether the quality of the data, as outlined in the survey documentation or assessed through analysis is sufficient.
Data from a survey can be used for descriptive or analytic studies. Descriptive studies are directed at the estimation of summary measures of a target population, for example, the average profits of owner-operated businesses in 2005 or the proportion of 2007 high school graduates who went on to higher education in the next twelve months. Analytical studies may be used to explain the behaviour of and relationships among characteristics; for example, a study of risk factors for obesity in children would be analytic.
If more than one data source is being used for the analysis, investigate whether the sources are consistent and how they may be appropriately integrated into the analysis.
When analyzing data from a probability sample, analytical methods that ignore the survey design can be appropriate, provided that sufficient model conditions for analysis are met. (See Binder and Roberts, 2003.) However, methods that incorporate the sample design information will generally be effective even when some aspects of the model are incorrectly specified.
Assess whether the survey design information can be incorporated into the analysis and if so how this should be done such as using design-based methods. See Binder and Roberts (2009) and Thompson (1997) for discussion of approaches to inferences on data from a probability sample.