Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data
In this paper the author discusses how sampling access and recruitment problems encountered in an in-depth interview study heightened her sensitivity to “borderline illegitimate” data. The term illegitimate data usually refers to the data collected during a covert study, whereas “legitimate” data ar...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2008-12-01
|
Series: | International Journal of Qualitative Methods |
Online Access: | https://doi.org/10.1177/160940690800700405 |
_version_ | 1819071711199363072 |
---|---|
author | Anupama Garg MSc, DIA, PhD |
author_facet | Anupama Garg MSc, DIA, PhD |
author_sort | Anupama Garg MSc, DIA, PhD |
collection | DOAJ |
description | In this paper the author discusses how sampling access and recruitment problems encountered in an in-depth interview study heightened her sensitivity to “borderline illegitimate” data. The term illegitimate data usually refers to the data collected during a covert study, whereas “legitimate” data are collected during an overt study. Hence, data collected during any nonconsented period(s) of an overt study lie on the borderline of illegitimacy and legitimacy, and constitute what the author calls borderline illegitimate data. Such data need legitimization before use. The borderline illegitimate data were collected during the pre- and postinterview stages of her study as they explained how medical and ethnic cultures and sensitivity to racism as a topic combined to create sample recruitment difficulties of the study. The author later legitimized them by sharing them with the participants, guaranteeing anonymity, and asking their permission to use them. |
first_indexed | 2024-12-21T17:26:10Z |
format | Article |
id | doaj.art-c62c7cfbcbd4444683fae3d6e2de47e8 |
institution | Directory Open Access Journal |
issn | 1609-4069 |
language | English |
last_indexed | 2024-12-21T17:26:10Z |
publishDate | 2008-12-01 |
publisher | SAGE Publishing |
record_format | Article |
series | International Journal of Qualitative Methods |
spelling | doaj.art-c62c7cfbcbd4444683fae3d6e2de47e82022-12-21T18:56:03ZengSAGE PublishingInternational Journal of Qualitative Methods1609-40692008-12-01710.1177/16094069080070040510.1177_160940690800700405Sampling Hurdles: “Borderline Illegitimate” to Legitimate DataAnupama Garg MSc, DIA, PhDIn this paper the author discusses how sampling access and recruitment problems encountered in an in-depth interview study heightened her sensitivity to “borderline illegitimate” data. The term illegitimate data usually refers to the data collected during a covert study, whereas “legitimate” data are collected during an overt study. Hence, data collected during any nonconsented period(s) of an overt study lie on the borderline of illegitimacy and legitimacy, and constitute what the author calls borderline illegitimate data. Such data need legitimization before use. The borderline illegitimate data were collected during the pre- and postinterview stages of her study as they explained how medical and ethnic cultures and sensitivity to racism as a topic combined to create sample recruitment difficulties of the study. The author later legitimized them by sharing them with the participants, guaranteeing anonymity, and asking their permission to use them.https://doi.org/10.1177/160940690800700405 |
spellingShingle | Anupama Garg MSc, DIA, PhD Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data International Journal of Qualitative Methods |
title | Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data |
title_full | Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data |
title_fullStr | Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data |
title_full_unstemmed | Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data |
title_short | Sampling Hurdles: “Borderline Illegitimate” to Legitimate Data |
title_sort | sampling hurdles borderline illegitimate to legitimate data |
url | https://doi.org/10.1177/160940690800700405 |
work_keys_str_mv | AT anupamagargmscdiaphd samplinghurdlesborderlineillegitimatetolegitimatedata |