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UID:pretalx-2026-BEH7LV@conferences.acspri.org.au
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DESCRIPTION:Egocentric network data are often elicited rather than directly
  observed. Name generators and alter-level questions require participants 
 to define boundaries\, retrieve alters\, retain an expanding list and\, wh
 ere local structure is collected\, assess a rapidly increasing number of p
 ossible alter–alter ties. These demands intensify when interviews are mu
 ltilingual\, interpreter-mediated\, ethically sensitive\, conducted in dom
 estic settings and embedded in longer qualitative encounters. Participant-
 aided sociograms may reduce some of this burden\, but they are often descr
 ibed mainly as engagement tools. Less attention has been paid to how they 
 transform the production\, observability and interpretability of network e
 vidence.\n\nThis paper develops and evaluates a qualitative-led mixed-meth
 ods protocol centred on a low-technology\, participant-aided target sociog
 ram. It asks: how do participant-aided sociograms transform egocentric net
 work elicitation under high-constraint field conditions\, and what are the
  implications for data quality\, boundary specification and interpretation
 ? The five-stage protocol combines: (1) an ethically permissive contextual
  opening\; (2) affective and hypothetical exchange name generators\; (3) q
 uestion-wise composition measures\; (4) participant placement and movement
  of alters across four perceived-closeness rings\; and (5) participant map
 ping of salient alter–alter ties and clusters\, followed by qualitative 
 probing.\n\nThe protocol was piloted and applied in 17 interview sessions 
 with 23 Arabic-speaking refugees in England\, including 10 sessions mediat
 ed by a trained Arabic–English telephone interpreter. The methodological
  evaluation integrates transcripts and field notes\, photographed sociogra
 ms\, documented additions and repositioning of alters\, case-by-case audit
 s of maps against node and edge files\, and descriptive summaries of netwo
 rk size and map complexity.\n\nThe findings show that the sociogram redist
 ributes cognitive and interactional work across participant\, visual artef
 act\, interviewer and interpreter through four linked mechanisms. First\, 
 the visible map supports memory offloading by keeping previously elicited 
 alters available for inspection and iterative recall. Second\, it enables 
 comparative calibration: participants judge and revise the closeness of on
 e relationship in relation to others. Third\, spatial grouping makes perce
 ived local structure feasible to elicit without a complete dyadic census. 
 Fourth\, interaction around the map makes parts of the reporting process v
 isible. Hesitation\, clarification\, movement and decisions to omit a tie 
 can be qualitatively probed\, helping distinguish forgetting\, boundary mi
 sunderstandings\, taken-for-granted household relations\, ethical withhold
 ing and uncertainty.\n\nThese gains do not produce a complete or objective
 ly accurate network. The maps may privilege strong\, salient and coherent 
 ties\; question-wise composition reduces repetition but sacrifices alter-l
 evel cross-classification\; very large networks crowd the paper target\; a
 nd a telephone interpreter cannot share the visual field. The protocol the
 refore supports claims about elicited network size\, broad role compositio
 n\, ordinal perceived closeness and salient perceived structure\, but not 
 total degree\, valued ties or a complete adjacency matrix.\n\nThe paper co
 ntributes a replicable five-stage protocol\, explicit conversion and repor
 ting rules\, and an implementation-based framework for evaluating particip
 ant-aided sociograms as measurement interventions as well as visual elicit
 ation tools. It argues that\, in high-constraint fieldwork\, data quality 
 depends not on maximising standardisation or detail in isolation\, but on 
 the documented fit among the research question\, elicitation instrument an
 d field encounter.
DTSTAMP:20261013T080209Z
LOCATION:MacCallum Room
SUMMARY:Participant-aided sociograms in high-constraint fieldwork: A qualit
 ative-led mixed-methods protocol for egocentric network elicitation - Gabr
 iella D'Avino
URL:https://conferences.acspri.org.au/2026/talk/BEH7LV/
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