Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers)
Rather than taking a variable-oriented approach, the study here extends Ragin’s (1999) perspective on studying conjunctive paths or “causal recipes” for a limited number of cases (usually n < 30) to the study of such paths in a large number of cases (n > 300 –or, in the study here, n > 30,0...
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| Format: | Journal Article |
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Taylor & Francis
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/3735 |
| _version_ | 1848744313525108736 |
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| author | Woodside, Arch |
| author_facet | Woodside, Arch |
| author_sort | Woodside, Arch |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Rather than taking a variable-oriented approach, the study here extends Ragin’s (1999) perspective on studying conjunctive paths or “causal recipes” for a limited number of cases (usually n < 30) to the study of such paths in a large number of cases (n > 300 –or, in the study here, n > 30,000). The aim here is to provide a primer in theory and practice of qualitative comparative analysis (QCA) — a method that goes beyond considering the net contributions of individual variables in influencing a dependent variable. The study aims to describe alternative conjunctive paths (estimated algorithms using Boolean algebra and set theory) that associate with a given outcome. The “outcome condition” being modeled (predicted) in the study are cases (travelers) who complete more than 24 airline trips for personal reasons annually; the label “extreme” or “X” air travelers identifies these cases. Though small in share of numbers (.2%) of Americans, X air travelers are mighty in share (7%) of air-trips for personal reasons. The study finds that completing a university/college degree is a necessary, but not sufficient, simple antecedent condition that identifies X air travelers; the conjunction of completing college and very frequent vacation travel is a sufficient, but not necessary, complex antecedent condition for identifying X air travelers. The approach can be useful in estimating conjunctive conditions leading to specific actions by consumers and executives. |
| first_indexed | 2025-11-14T05:59:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-3735 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:59:29Z |
| publishDate | 2013 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-37352017-09-13T14:45:47Z Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) Woodside, Arch trips causal recipe QCA extreme behavior air travel conjunctive path Rather than taking a variable-oriented approach, the study here extends Ragin’s (1999) perspective on studying conjunctive paths or “causal recipes” for a limited number of cases (usually n < 30) to the study of such paths in a large number of cases (n > 300 –or, in the study here, n > 30,000). The aim here is to provide a primer in theory and practice of qualitative comparative analysis (QCA) — a method that goes beyond considering the net contributions of individual variables in influencing a dependent variable. The study aims to describe alternative conjunctive paths (estimated algorithms using Boolean algebra and set theory) that associate with a given outcome. The “outcome condition” being modeled (predicted) in the study are cases (travelers) who complete more than 24 airline trips for personal reasons annually; the label “extreme” or “X” air travelers identifies these cases. Though small in share of numbers (.2%) of Americans, X air travelers are mighty in share (7%) of air-trips for personal reasons. The study finds that completing a university/college degree is a necessary, but not sufficient, simple antecedent condition that identifies X air travelers; the conjunction of completing college and very frequent vacation travel is a sufficient, but not necessary, complex antecedent condition for identifying X air travelers. The approach can be useful in estimating conjunctive conditions leading to specific actions by consumers and executives. 2013 Journal Article http://hdl.handle.net/20.500.11937/3735 10.1080/21639159.2012.717369 Taylor & Francis restricted |
| spellingShingle | trips causal recipe QCA extreme behavior air travel conjunctive path Woodside, Arch Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title | Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title_full | Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title_fullStr | Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title_full_unstemmed | Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title_short | Proposing a New Logic for Data Analysis in Marketing and Consumer Behavior: Case Study Research of Large-N Survey Data for Estimating Algorithms that Accurately Profile X (Extremely High-use Consumers) |
| title_sort | proposing a new logic for data analysis in marketing and consumer behavior: case study research of large-n survey data for estimating algorithms that accurately profile x (extremely high-use consumers) |
| topic | trips causal recipe QCA extreme behavior air travel conjunctive path |
| url | http://hdl.handle.net/20.500.11937/3735 |