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Ahead of the interview, Betty, Anita, and you will Peggy was involved in much time-name, personal matchmaking relationships

Ahead of the interview, Betty, Anita, and you will Peggy was involved in much time-name, personal matchmaking relationships

Six of your own women interviewed had been already unmarried. One or two was widowed (Anita and you may Fran), you to definitely are separated (Peggy), one is actually twice divorced (Pam), you to definitely is widowed off her earliest relationships and you will separated away from their unique next wedding (Sue), plus one woman's earliest matrimony concluded in divorce proceedings whenever you are their particular second ended in the widowhood (Betty). During the fresh interviews, the length of time that they had been solitary varied regarding cuatro age so you can 21 age. Betty had recently separated with her lover during the time of one's interviews, Anita's partner got died 36 months prior to their particular interviews, as well as the guy Peggy got dated having 8 ages got died away from cancer 4 and you can half of many years in past times.

Measures

Semistructured interviews was basically used because of the basic publisher for the an excellent conversational, flexible fashion, allowing participants the chance to present their own information interesting and offer its insider's angle. The unlock-ended interviews addressed close dating when you look at the afterwards life, and relationship experience. Interview were presented either in the fresh new participant's home otherwise a place regarding her choosing. Consent models was indeed finished before the beginning of the interviews. Respondents' contribution try volunteer, and so they were not paid due to their date.

Analyses

Transcribed interviews have been examined according to types of interpretive phenomenological study (IPA) (Smith, Vegetation, & Osborn, 1997; Smith & Osborn, 2003). This method is actually picked because of the notice it provides so you can personal significance while also attracting tentative findings all over interview, therefore tapping significantly more broadly on phenomena away from data.

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