Example:<\/b><\/em><\/p>\n\n We will continue on towards the units for correctly formulating a research problem, which are:<\/span><\/p>\n\n Decomposition\u2014the division of a topic into its component elements\u2014is closely connected with the correct creation of research questions. Thanks to decomposition, you can put together \u201cspecifying\u201d questions, with which you will describe the research problem better and then resolve it more successfully. Take care not to ask too many such questions, because they can make your research problem too tangled. Always try to focus only on the main areas and describe those briefly!<\/span><\/p>\n\n Example:<\/b><\/em><\/p>\n\n Decomposing a topic is also decisive for going on to correctly compose a hypothesis on the current state of the research problem and write questions for respondents.<\/span><\/p>\n\n You could say that a hypothesis is a proposed prerequisite for the current state of the \u201cproject\u201d\u2014a prerequisite that you are trying to confirm or deny with your research.<\/strong> Forming hypotheses is the next-to-last step towards designing the survey itself. Forming a hypothesis comes after getting to know the problem, defining the research question, and decomposing that question.<\/p>\n When forming hypotheses, it is always appropriate to start from available and relevant data and predefined research questions.<\/strong> Then you just need to make use of this information to form hypotheses that you want to confirm or deny.<\/p>\n\n Example:<\/b><\/em><\/p>\n\n Examples of defined hypotheses:<\/b><\/em><\/p>\n\n In quantitative research, a variable means a property within a research question that can take on different values<\/strong>.<\/span><\/p>\n\n Example:<\/b><\/em><\/p>\n Question: <\/span><\/i>How old are you?<\/span> (this question contains a <\/span>property<\/b> that can take on different <\/span>values<\/b>)<\/span><\/p>\n\n Variables are mainly used in questionnaires that are then statistically evaluated and edited into the form of graphs.<\/span><\/p>\n Before you start creating your questionnaire<\/a>,\u00a0you should know that various types of variables exist, and they are not the same. Variables are classified into three groups by the values they can take on:<\/span><\/p>\n\n The next piece in this series covers sample selection, which is the last step before the actual process of asking respondents questions.<\/b><\/p>\n If you have any questions, suggestions, or remarks (on this series or otherwise), please don\u2019t hesitate to contact us via<\/b>\u00a0Facebook<\/a>, Twitter<\/a>, G+<\/a> or\u00a0e-mail<\/a>.<\/strong><\/p>\n\n\n \t
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Decomposing the Topic<\/b><\/h2>\n
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Hypotheses<\/h2>\n
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Variable Types<\/b><\/h2>\n
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Glossary<\/h2>\n
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