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内容説明 Few concepts in this book are new, many are the better part of a century old. So why should you read it? Because there are important steps every quantitative researcher needs to take prior to collecting their data to ensure the data meets their goals. Because after collecting data, and before conducting the critical analyses to test hypotheses, there are other important steps to be taken to ensure the ultimate high quality of the results of those analyses. All of these steps are referred to as -data cleaning- although in the strictest sense of the concept planning for data collection does not traditionally fall under that label. Yet careful planning for data collection is critically important to the overall success of the project. There are several critical steps that should be taken prior to testing hypotheses, and your research will benefit from doing these things. If your goal is to do the best research you can do, to draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, to report results that are most likely to be replicated by other researchers, then this book is a basic guidebook to helping accomplish these goals.
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