CCT208H5 Lecture Notes - Lecture 1: Statistical Hypothesis Testing, Antipositivism, Big Data

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Ways of knowing something about the world: i. e. how to approach something; strategy. Not an apparatus: you"re making decisions all the time; how to propose a question, how to get results, nothing formulaic about it. Two research divisions: quantitative: quantity (numbers, objective, deductive, etc) - how much there is, surveys, experiments, big data , qualitative: quality (subjective, inductive, words, etc. ) How it"s crafted: in depth interviews, field research, online approaches, more word use. Plural of datum: datum: known from direct observation: a given . Starting point of knowledge about the world: we start by collecting it, then process and make sense of it. We"re talking both quantitative and qualitative research. Gather data, use it to test hypotheses: hypotheses: testable statements about the world, informed by theory. You can"t fully prove a hypothesis since data to contradict it always comes out, sometimes hypotheses can never be proven: however, you can gain support for it with more data that supports your argument.

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