Skip to main content

Content Analysis of Unsolicited Emails as the Tool to Acquire Challenging Data: The Case of Using Semiquantitative Linguistic Analysis in Mining Unstructured Data

Case
By: Published: 2020 | Product: SAGE Research Methods Cases: Medicine and Health
+- LessMore information
Search form
No results
Not Found
Download Case PDF

Abstract

Addressing some research questions requires access to the information that is not readily available because of privacy concerns or trade secrets. Employment data belong to this category due to issues related to competition, confidentiality, and marketing. At the center of this case, I used unsolicited recruitment emails containing some details of job offers to extract the data about conditions offered to potential anesthesiologists while applying for locum tenens positions. Specifically, elements of semiquantitive linguistic analysis were employed. Critical problems included low yield of information per email, creation of a robust database to capture information, external validation of data, and manuscript publication. The presented methodology can be applied to future research to uncover information helpful for job mobility and wage growth.

Looks like you do not have access to this content.

Methods Map

Qualitative interviewing

Copy and paste the following HTML into your website