Mixed methods - Revision history

Livesadmin at 08:47, 10 December 2025

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Livesadmin at 13:38, 2 June 2021

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	Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ [[Trajectories\|trajectories]] and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.		Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ [[Trajectories\|trajectories]] and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.

	Authors: Emilie Joly-Burra, Oana Ciobanu ~~and~~ Paolo Ghisletta		Authors: Emilie Joly-Burra, Oana Ciobanu, Paolo Ghisletta

	==References==		==References==

Livesadmin at 14:32, 20 April 2021

2021-04-20T14:32:10Z

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	# Expansion: Reaching a research goal through multiple research/study phases involving various methodologies		# Expansion: Reaching a research goal through multiple research/study phases involving various methodologies
	# Focus on structure vs. processes: the QUAN approach investigates the structure of the phenomenon of interest, while the QUAL approach investigates its underlying processes.		# Focus on structure vs. processes: the QUAN approach investigates the structure of the phenomenon of interest, while the QUAL approach investigates its underlying processes.
	Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ trajectories and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.		Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ [[Trajectories\|trajectories]] and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.

	Authors: Emilie Joly-Burra, Oana Ciobanu and Paolo Ghisletta		Authors: Emilie Joly-Burra, Oana Ciobanu and Paolo Ghisletta

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	==Semantic network visualisation==		==Semantic network visualisation==
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	Tashakkori, A., & Teddlie, C. (2010). SAGE Handbook of Mixed Methods in Social & Behavioral Research. SAGE.<br />		Tashakkori, A., & Teddlie, C. (2010). SAGE Handbook of Mixed Methods in Social & Behavioral Research. SAGE.<br />
	Tukey, J. W. (1980). We Need Both Exploratory and Confirmatory. ''The American Statistician'', 34(1), 23‑25. https://doi.org/10.1080/00031305.1980.10482706<br />		Tukey, J. W. (1980). We Need Both Exploratory and Confirmatory. ''The American Statistician'', 34(1), 23‑25. https://doi.org/10.1080/00031305.1980.10482706<br />
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Livesadmin at 14:22, 9 March 2021

2021-03-09T14:22:34Z

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 Research in human sciences traditionally consists in two separate (if not opposed) research traditions and methods: qualitative versus quantitative research. The two methods rely on fundamentally different worldviews (they usually differ on their ontological, epistemological, axiological and methodological assumptions; see Johnson & Onwuegbuzie, 2004; Rossman & Wilson, 1985; Smith, 1983). Despite of – and even building upon – these differences, a third approach, consisting of merging the two approaches, has gained much popularity in the last 30 years, and henceforth stands out as a mean to bridge the gap between these two research traditions (Creswell & Plano Clark, 2011; Tashakkori & Teddlie, 2010). <br />
 As suggested by its name, quantitative (QUAN) methods rely on numbers, quantitative data, or defined categories. QUAN research follows a top-down (deductive) approach where theory/hypothesis testing is the driving force of research, and shapes data collection. Studies are conducted to predict variables of interest in order to understand specific relationships and quantify their strength or reliability. Researchers’ subjectivity should not impact research results, and is considered as noise in the data that should imperatively be neutralized. As such QUAN approaches aim to reduce the quantity of information to produce precise, parsimonious and generalizable models.<br />
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 Tashakkori, A., & Teddlie, C. (2010). SAGE Handbook of Mixed Methods in Social & Behavioral Research. SAGE.<br />
 Tukey, J. W. (1980). We Need Both Exploratory and Confirmatory. ''The American Statistician'', 34(1), 23‑25. https://doi.org/10.1080/00031305.1980.10482706<br />

Livesadmin at 13:24, 4 March 2021

2021-03-04T13:24:06Z

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	Research in human sciences traditionally consists in two separate (if not opposed) research traditions and methods: qualitative versus quantitative research. The two methods rely on fundamentally different worldviews (they usually differ on their ontological, epistemological, axiological and methodological assumptions; see Johnson & Onwuegbuzie, 2004; Rossman & Wilson, 1985; Smith, 1983). Despite of – and even building upon – these differences, a third approach, consisting of merging the two approaches, has gained much popularity in the last 30 years, and henceforth stands out as a mean to bridge the gap between these two research traditions (Creswell & Plano Clark, 2011; Tashakkori & Teddlie, 2010). <br />		Research in human sciences traditionally consists in two separate (if not opposed) research traditions and methods: qualitative versus quantitative research. The two methods rely on fundamentally different worldviews (they usually differ on their ontological, epistemological, axiological and methodological assumptions; see Johnson & Onwuegbuzie, 2004; Rossman & Wilson, 1985; Smith, 1983). Despite of – and even building upon – these differences, a third approach, consisting of merging the two approaches, has gained much popularity in the last 30 years, and henceforth stands out as a mean to bridge the gap between these two research traditions (Creswell & Plano Clark, 2011; Tashakkori & Teddlie, 2010). <br />
	As suggested by its name, quantitative (QUAN) methods rely on numbers, quantitative data, or defined categories. QUAN research follows a top-down (deductive) approach where theory/hypothesis testing is the driving force of research, and shapes data collection. Studies are conducted to predict variables of interest in order to understand specific relationships and quantify their strength or reliability. Researchers’ subjectivity should not impact research results, and is considered as noise in the data that should imperatively be neutralized. As such QUAN approaches aim to reduce the quantity of information to produce precise, parsimonious and generalizable models.<br />		As suggested by its name, quantitative (QUAN) methods rely on numbers, quantitative data, or defined categories. QUAN research follows a top-down (deductive) approach where theory/hypothesis testing is the driving force of research, and shapes data collection. Studies are conducted to predict variables of interest in order to understand specific relationships and quantify their strength or reliability. Researchers’ subjectivity should not impact research results, and is considered as noise in the data that should imperatively be neutralized. As such QUAN approaches aim to reduce the quantity of information to produce precise, parsimonious and generalizable models.<br />

Jolyburrae at 13:12, 12 January 2021

2021-01-12T13:12:02Z

← Older revision		Revision as of 13:12, 12 January 2021
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	Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ trajectories and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.		Within the NCCR LIVES, Barbeiro and Spini (2015) proposed a calendar interview device (CID) as a mixed-methods device to study life course and turning points in the context of migration. This methodological approach enables the authors to study agency within structures in the lives of migrants. The CID consisted in the joint collection of life calendars containing standardized data and audio-recorded narratives for qualitative analysis. Interviews provide an opportunity to gain an in-depth understanding of the processes at stake in migrants’ trajectories and how they make sense of this experience, while quantitative calendar data provide a detailed resource for specific case analysis. Hence, the combination of both QUAL and QUAN data in the context of life calendars allows for identifying both objective and subjective dimensions of turning points in participants’ lives (also see Legewie & Tucci, 2020). And what is more, conjointly collecting both types of data improves the quality and accuracy of data as potential inconsistencies between data sources (e.g. dates provided in the calendar section sometimes did not match the duration of employment as explained during the interviews) were resolved by discussion between the interviewer and the interviewee.

	Authors: Emilie Joly-Burra, Oana Ciobanu et Paolo Ghisletta		Authors: Emilie Joly-Burra, Oana Ciobanu and Paolo Ghisletta

	==References==		==References==

Jolyburrae at 13:10, 12 January 2021

2021-01-12T13:10:10Z

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	Barbeiro, A., & Spini, D. (2015). Calendar interviewing: A mixed methods device for a life course approach to migration. https://doi.org/10.12682/LIVES.2296-1658.2015.39 <br />		Barbeiro, A., & Spini, D. (2015). Calendar interviewing: A mixed methods device for a life course approach to migration. https://doi.org/10.12682/LIVES.2296-1658.2015.39 <br />
	Bowling, A., & Gabriel, Z. (2004). An Integrational Model of Quality of Life in Older Age. Results from the ESRC/MRC HSRC Quality of Life Survey in Britain. ''Social Indicators Research'', 69(1), 1–36. https://doi.org/10.1023/B:SOCI.0000032656.01524.07 <br />		Bowling, A., & Gabriel, Z. (2004). An Integrational Model of Quality of Life in Older Age. Results from the ESRC/MRC HSRC Quality of Life Survey in Britain. ''Social Indicators Research'', 69(1), 1–36. https://doi.org/10.1023/B:SOCI.0000032656.01524.07 <br />
	Carpentieri, J. D., Elliott, J., Brett, C. E., & Deary, I. J. (2017). Adapting to Aging: Older People Talk About Their Use of Selection, Optimization, and Compensation to Maximize Well-being in the Context of Physical Decline. ''The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences'', 72(2), 351–361. https://doi.org/10.1093/geronb/gbw132		Carpentieri, J. D., Elliott, J., Brett, C. E., & Deary, I. J. (2017). Adapting to Aging: Older People Talk About Their Use of Selection, Optimization, and Compensation to Maximize Well-being in the Context of Physical Decline. ''The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences'', 72(2), 351–361. https://doi.org/10.1093/geronb/gbw132 <br />
	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research. SAGE.<br />		Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research. SAGE.<br />
	De Vriendt, P., Gorus, E., Cornelis, E., Bautmans, I., Petrovic, M., & Mets, T. (2013). The advanced activities of daily living: A tool allowing the evaluation of subtle functional decline in mild cognitive impairment. ''The Journal of Nutrition, Health & Aging'', 17(1), 64–71. https://doi.org/10.1007/s12603-012-0381-9 <br />		De Vriendt, P., Gorus, E., Cornelis, E., Bautmans, I., Petrovic, M., & Mets, T. (2013). The advanced activities of daily living: A tool allowing the evaluation of subtle functional decline in mild cognitive impairment. ''The Journal of Nutrition, Health & Aging'', 17(1), 64–71. https://doi.org/10.1007/s12603-012-0381-9 <br />

Jolyburrae at 13:09, 12 January 2021

2021-01-12T13:09:35Z

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	==References==		==References==

	Barbeiro, A., & Spini, D. (2015). Calendar interviewing: A mixed methods device for a life course approach to migration. https://doi.org/10.12682/LIVES.2296-1658.2015.39		Barbeiro, A., & Spini, D. (2015). Calendar interviewing: A mixed methods device for a life course approach to migration. https://doi.org/10.12682/LIVES.2296-1658.2015.39 <br />
	Bowling, A., & Gabriel, Z. (2004). An Integrational Model of Quality of Life in Older Age. Results from the ESRC/MRC HSRC Quality of Life Survey in Britain. ''Social Indicators Research'', 69(1), 1–36. https://doi.org/10.1023/B:SOCI.0000032656.01524.07 <br />		Bowling, A., & Gabriel, Z. (2004). An Integrational Model of Quality of Life in Older Age. Results from the ESRC/MRC HSRC Quality of Life Survey in Britain. ''Social Indicators Research'', 69(1), 1–36. https://doi.org/10.1023/B:SOCI.0000032656.01524.07 <br />
	Carpentieri, J. D., Elliott, J., Brett, C. E., & Deary, I. J. (2017). Adapting to Aging: Older People Talk About Their Use of Selection, Optimization, and Compensation to Maximize Well-being in the Context of Physical Decline. ''The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences'', 72(2), 351–361. https://doi.org/10.1093/geronb/gbw132		Carpentieri, J. D., Elliott, J., Brett, C. E., & Deary, I. J. (2017). Adapting to Aging: Older People Talk About Their Use of Selection, Optimization, and Compensation to Maximize Well-being in the Context of Physical Decline. ''The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences'', 72(2), 351–361. https://doi.org/10.1093/geronb/gbw132