Broken Telephone: The long and Winding Road from Encoding to Decoding in Mixed Methods Research

It is not uncommon for engineering education researchers who value quantitative analyses to conduct large-scale surveys as validation measures for smaller scale qualitative studies. The purpose of this paper is to examine a limitation of this logic. We adopt Stuart Hall’s encoding/decoding model of communication as a conceptual framework to investigate the mismatch between five engineering career paths we identified through a small, qualitative study and 982 Canadian engineering graduates’ self-identification with those paths on a larger scale national survey. By examining the differences between our encoding of survey items and respondents' self-identified decoding of those items, our paper makes two significant contributions to the engineering education literature, one methodological and one structural. First, our findings raise methodological questions about the widespread use of large-scale surveys as validation measures for small-scale qualitative studies, and second, our critical analysis illustrates internal heterogeneity within senior executive career tracks, enabling us to supplement existing explanations for occupational inequity in the profession.

Authors

Institutions

Publication Details

Journal
Proceedings of the Canadian Engineering Education Association (CEEA)
Published
2024-12-20
DOI
https://doi.org/10.24908/pceea.2024.18437
Primary Topic
Qualitative Research Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Broken Telephone: The long and Winding Road from Encoding to Decoding in Mixed Methods Research

Andrea Chan, Cindy Rottmann, Emily Moore
Proceedings of the Canadian Engineering Education Association (CEEA)
Qualitative Research Methods and Applications
article

Broken Telephone: The long and Winding Road from Encoding to Decoding in Mixed Methods Research

Andrea Chan, Cindy Rottmann, Emily Moore
article en

Abstract

It is not uncommon for engineering education researchers who value quantitative analyses to conduct large-scale surveys as validation measures for smaller scale qualitative studies. The purpose of this paper is to examine a limitation of this logic. We adopt Stuart Hall’s encoding/decoding model of communication as a conceptual framework to investigate the mismatch between five engineering career paths we identified through a small, qualitative study and 982 Canadian engineering graduates’ self-identification with those paths on a larger scale national survey. By examining the differences between our encoding of survey items and respondents' self-identified decoding of those items, our paper makes two significant contributions to the engineering education literature, one methodological and one structural. First, our findings raise methodological questions about the widespread use of large-scale surveys as validation measures for small-scale qualitative studies, and second, our critical analysis illustrates internal heterogeneity within senior executive career tracks, enabling us to supplement existing explanations for occupational inequity in the profession.

Proceedings of the Canadian Engineering Education Association (CEEA)
University of Toronto (CA)
University of Toronto, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 40%
Qualitative Research Methods and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Broken Telephone: The long and Winding Road from Encoding to Decoding in Mixed Methods Research — Andrea Chan, Cindy Rottmann, et al. · Proceedings of the Canadian Engineering Education Association (CEEA) (2024) | TGRS Research Map | TGRS