调查研究方法注:测量水平:调查数据定量分析的基础

Prem Bhandari
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引用次数: 2

摘要

本研究说明简要介绍了变量的测量水平及其在调查数据定量分析中的应用。它首先提出了变量测量的概念。其次,给出了四个测量水平,即标称、有序、区间和比率,并举例说明。然后,讨论了这些测量水平在单变量(描述性统计)、双变量和多变量(例如,二元逻辑和多元线性回归)水平上的数据统计分析中的应用。本说明预计将对最初(天真)的学者有用,他们将在现实世界中应用统计工具来分析调查数据。
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A Note on Survey Research Methods Levels of Measurement: Foundational Basis for Quantitative Analysis of Survey Data
This research note briefly describes the levels of measurement of variables and their applications in the quantitative analysis of survey data. It first presents the concept of the measurement of variables. Second, the four levels of measurements, namely, nominal, ordinal, interval, and ratio, with examples are offered. Then, the application of these measurement levels to the statistical analysis of data at the univariate (descriptive statistics), bivariate, and multivariate (e.g., binary logistic and multiple linear regression) levels are discussed. This note is expected to be useful to the beginning (naïve) scholars for real-world application of statistical tools to analyze survey data.
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