To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The 44- item Ben-Tovim Walker Body Attitudes Questionnaire (BAQ) generates a profile of women’s body related attitudes as found in the population at large. The BAQ can be administered in person, by mail, or on-line, and there are no restrictions on its use. The 44 questions are grouped into 6 sub-scales (Feeling Fat, Disparagement, Strength and Fitness, Salience of Weight and Shape, Attractiveness, Lower Body Fatness). The BAQ can be used in full, or in a variety of abbreviated forms. The BAQ and its subscales have well-developed psychometric properties, as described in the chapter. The BAQ has been translated into a number of languages. Unusually for Body Image measures, genetic as well as social determinants related to measured Body Image have been studied with the BAQ, and are referenced in the chapter. The BAQ is provided in its entirety, as is the scoring key and instructions for use. The BAQ has proved to be suitable for assessing body-related attitudes in general and specific population groups, and its internal structure has been validated in many different groups of women.
A simple Bayesian solution for the joint estimation of several parallel profile differentials for multivariate normal populations is obtained. This generalizes a previous result for a single profile differential.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.