Non-Probability Sampling

Kingsley Obi Omeihe

Non-Probability Sampling

Kingsley Obi Omeihe^*

^*Corresponding author for this work

Business Management

Research output: Other contribution

Abstract

This study examines the logic and power of non-probability sampling. In this context, we will come to learn that sampling decisions need to be justified so that examiners can have an appropriate context for assessing samples. Acknowledging differences across guidelines, the study draws on empirical data from 36 in-depth interviews to alleviate concerns about sampling techniques.

Original language	English
Type	Webinar
Publisher	British Academy of Management
Publication status	Published - 13 Jul 2021

Cite this

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AB - This study examines the logic and power of non-probability sampling. In this context, we will come to learn that sampling decisions need to be justified so that examiners can have an appropriate context for assessing samples. Acknowledging differences across guidelines, the study draws on empirical data from 36 in-depth interviews to alleviate concerns about sampling techniques.

UR - https://www.bam.ac.uk/events-landing/ems-event-calendar/bam-isbe-doctoral-consortium-on-the-idea-of-what-constitutes-good-systematic-literature-review-and-non-probability-sampling-critical-links-in-the-great-chain-of-evidence.html

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Non-Probability Sampling

Abstract

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