The Lone Mother Resilience Project: A Qualitative Secondary Analysis

Although qualitative secondary analyses are conducted across the social sciences, supra-assorted analyses that involve both the re-use of existing data and the collection of new, primary data are relatively uncommon. Additionally, discussions regarding qualitative secondary analysis have tended to i...

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Main Authors: Watters, Elizabeth C., Caragata, Lea, Cumming, Sara
Format: Article in Journal/Newspaper
Language:unknown
Published: DEU 2018
Subjects:
Online Access:https://www.ssoar.info/ssoar/handle/document/57962
http://www.qualitative-research.net/index.php/fqs/article/view/2863
https://doi.org/10.17169/fqs-19.2.2863
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author Watters, Elizabeth C.
Caragata, Lea
Cumming, Sara
author_facet Watters, Elizabeth C.
Caragata, Lea
Cumming, Sara
author_sort Watters, Elizabeth C.
collection SSOAR - Social Science Open Access Repository
description Although qualitative secondary analyses are conducted across the social sciences, supra-assorted analyses that involve both the re-use of existing data and the collection of new, primary data are relatively uncommon. Additionally, discussions regarding qualitative secondary analysis have tended to ignore the re-use of researchers' own data (i.e., auto-data). Thus, with this article, we aim to contribute to this discussion by providing an example of a supra-assorted analysis in which we re-used data from one of our previous studies, Lone Mothers: Building Social Inclusion. This earlier, longitudinal study was conducted with 104 poor lone mothers across Canada. We supplemented this dataset with data from three focus groups and 20 semi-structured interviews engaging a total of 38 lone mothers. Both studies were informed by a feminist and social inclusion lens, and recruited a diverse sample of women in three cities across the country: Vancouver, British Columbia; Toronto, Ontario; and St. John's, Newfoundland. In addition, most of the lone mothers who participated in the secondary analysis had also been involved in the original study as interviewees and/or research assistants. We conclude the article by discussing the strengths and limitations of, and lessons learned from, the secondary study's design. Obwohl qualitative Sekundäranalysen in den Sozialwissenschaften mittlerweile breite Anwendung finden, sind gemischte Studien, in denen bereits existierende und neu erhobene Daten genutzt werden, vergleichsweise selten. Ebenso wird die (Wieder-) Verwendung von eigenen Forschungsdaten kaum diskutiert. Zur Schließung dieser Lücke wollen wir mit dem hier vorgestellten Artikel beitragen. Zum einen wurden in die Analyse Daten des bereits abgeschlossenen "Lone Mothers: Building Social Inclusion"-Projekts einbezogen, eine Längsschnittstudie, in deren Verlauf wir 104 alleinstehende Mütter aus eher armen Verhältnissen einbezogen hatten. Diese Daten wurden durch Daten ergänzt, die aus drei Fokusgruppen und 20 ...
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spelling ftssoar:oai:gesis.izsoz.de:document/57962 2025-04-27T14:32:52+00:00 The Lone Mother Resilience Project: A Qualitative Secondary Analysis Watters, Elizabeth C. Caragata, Lea Cumming, Sara 2018-07-12T13:46:13Z https://www.ssoar.info/ssoar/handle/document/57962 http://www.qualitative-research.net/index.php/fqs/article/view/2863 https://doi.org/10.17169/fqs-19.2.2863 unknown DEU https://www.ssoar.info/ssoar/handle/document/57962 Creative Commons - Namensnennung 4.0 Creative Commons - Attribution 4.0 Forum Qualitative Sozialforschung / Forum: Qualitative Social Research 19 2 Sozialwissenschaften Soziologie Social sciences sociology anthropology Reanalyse auto-data eigene Forschungsdaten qualitative research secondary research supra-assorted analysis supraassoziierte Analyse Erhebungstechniken und Analysetechniken der Sozialwissenschaften Methods and Techniques of Data Collection and Data Analysis Statistical Methods Computer Methods Sekundäranalyse Daten Analyse qualitative Methode Datengewinnung secondary analysis data analysis qualitative method data capture Zeitschriftenartikel journal article 2018 ftssoar https://doi.org/10.17169/fqs-19.2.2863 2025-03-31T04:26:01Z Although qualitative secondary analyses are conducted across the social sciences, supra-assorted analyses that involve both the re-use of existing data and the collection of new, primary data are relatively uncommon. Additionally, discussions regarding qualitative secondary analysis have tended to ignore the re-use of researchers' own data (i.e., auto-data). Thus, with this article, we aim to contribute to this discussion by providing an example of a supra-assorted analysis in which we re-used data from one of our previous studies, Lone Mothers: Building Social Inclusion. This earlier, longitudinal study was conducted with 104 poor lone mothers across Canada. We supplemented this dataset with data from three focus groups and 20 semi-structured interviews engaging a total of 38 lone mothers. Both studies were informed by a feminist and social inclusion lens, and recruited a diverse sample of women in three cities across the country: Vancouver, British Columbia; Toronto, Ontario; and St. John's, Newfoundland. In addition, most of the lone mothers who participated in the secondary analysis had also been involved in the original study as interviewees and/or research assistants. We conclude the article by discussing the strengths and limitations of, and lessons learned from, the secondary study's design. Obwohl qualitative Sekundäranalysen in den Sozialwissenschaften mittlerweile breite Anwendung finden, sind gemischte Studien, in denen bereits existierende und neu erhobene Daten genutzt werden, vergleichsweise selten. Ebenso wird die (Wieder-) Verwendung von eigenen Forschungsdaten kaum diskutiert. Zur Schließung dieser Lücke wollen wir mit dem hier vorgestellten Artikel beitragen. Zum einen wurden in die Analyse Daten des bereits abgeschlossenen "Lone Mothers: Building Social Inclusion"-Projekts einbezogen, eine Längsschnittstudie, in deren Verlauf wir 104 alleinstehende Mütter aus eher armen Verhältnissen einbezogen hatten. Diese Daten wurden durch Daten ergänzt, die aus drei Fokusgruppen und 20 ... Article in Journal/Newspaper Newfoundland SSOAR - Social Science Open Access Repository Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Lone ENVELOPE(11.982,11.982,65.105,65.105) Hatten ENVELOPE(12.380,12.380,65.512,65.512)
spellingShingle Sozialwissenschaften
Soziologie
Social sciences
sociology
anthropology
Reanalyse
auto-data
eigene Forschungsdaten
qualitative research
secondary research
supra-assorted analysis
supraassoziierte Analyse
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis
Statistical Methods
Computer Methods
Sekundäranalyse
Daten
Analyse
qualitative Methode
Datengewinnung
secondary analysis
data
analysis
qualitative method
data capture
Watters, Elizabeth C.
Caragata, Lea
Cumming, Sara
The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title_full The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title_fullStr The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title_full_unstemmed The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title_short The Lone Mother Resilience Project: A Qualitative Secondary Analysis
title_sort lone mother resilience project: a qualitative secondary analysis
topic Sozialwissenschaften
Soziologie
Social sciences
sociology
anthropology
Reanalyse
auto-data
eigene Forschungsdaten
qualitative research
secondary research
supra-assorted analysis
supraassoziierte Analyse
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis
Statistical Methods
Computer Methods
Sekundäranalyse
Daten
Analyse
qualitative Methode
Datengewinnung
secondary analysis
data
analysis
qualitative method
data capture
topic_facet Sozialwissenschaften
Soziologie
Social sciences
sociology
anthropology
Reanalyse
auto-data
eigene Forschungsdaten
qualitative research
secondary research
supra-assorted analysis
supraassoziierte Analyse
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis
Statistical Methods
Computer Methods
Sekundäranalyse
Daten
Analyse
qualitative Methode
Datengewinnung
secondary analysis
data
analysis
qualitative method
data capture
url https://www.ssoar.info/ssoar/handle/document/57962
http://www.qualitative-research.net/index.php/fqs/article/view/2863
https://doi.org/10.17169/fqs-19.2.2863