About this document
Data Measurement in Quantitative Research by Joey Luke Olicia is a document available to read on EtoBox.
The document discusses measurement and types of data in quantitative research, highlighting the importance of measurement for distinguishing characteristics and estimating relationships. It outlines four levels of measurement: nominal, ordinal, interval, and ratio, along with various rating scales such as binary, Likert, semantic, and Guttman scales. Additionally, it covers sampling techniques, including simple random, stratified random, cluster, and stage sampling, as well as Slovin
- Author
- Joey Luke Olicia
- Language
- EN