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Brand love: development and validation of a practical scale
by
Bagozzi, Richard P.
, Batra, Rajeev
, Ahuvia, Aaron
in
Attitudes
/ Brand loyalty
/ Brands
/ Business and Management
/ Concept formation
/ Consumer behavior
/ Consumer behaviour
/ Identity
/ Love
/ Loyalty
/ Marketing
/ Measurement
/ Measurement errors
/ Measures
/ Negative information
/ Questionnaires
/ Resistance
/ Studies
/ Test validity and reliability
2017
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Brand love: development and validation of a practical scale
by
Bagozzi, Richard P.
, Batra, Rajeev
, Ahuvia, Aaron
in
Attitudes
/ Brand loyalty
/ Brands
/ Business and Management
/ Concept formation
/ Consumer behavior
/ Consumer behaviour
/ Identity
/ Love
/ Loyalty
/ Marketing
/ Measurement
/ Measurement errors
/ Measures
/ Negative information
/ Questionnaires
/ Resistance
/ Studies
/ Test validity and reliability
2017
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Do you wish to request the book?
Brand love: development and validation of a practical scale
by
Bagozzi, Richard P.
, Batra, Rajeev
, Ahuvia, Aaron
in
Attitudes
/ Brand loyalty
/ Brands
/ Business and Management
/ Concept formation
/ Consumer behavior
/ Consumer behaviour
/ Identity
/ Love
/ Loyalty
/ Marketing
/ Measurement
/ Measurement errors
/ Measures
/ Negative information
/ Questionnaires
/ Resistance
/ Studies
/ Test validity and reliability
2017
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Brand love: development and validation of a practical scale
Journal Article
Brand love: development and validation of a practical scale
2017
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Overview
Batra et al. (Journal of Marketing 76, 1–16, 2012) created a new conceptualization of brand love but did not develop a pragmatically useful measure for studies where questionnaire length is a constraint. The current research develops a more parsimonious brand love scale, with three nested versions of 26, 13, and 6 items, respectively. This research also validates the scales, and in so doing conducts several important validity tests not considered by Batra et al. The 26-item scale is able to predict consumer loyalty, word of mouth, and resistance to negative information, with an R² of .90, after correcting for measurement error.
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