Check-all-that-apply questions

Figure 8.5. Does your company have a written policy that specifically addresses the following areas (Check all that apply.) (Question 2). (Source PricewaterhouseCoopers, LLP.)...

Ares, G., Barreiro, C., Deliza, R., Gimenez, A. and Gambaro, A. (2010a), Application of a check-all-that-apply question to the development of chocolate milk desserts, J Sensory Stud, 25, 67-86. 

Lee, Y, Findlay, C. and Meullenet, J.F. (2013), Experimental consideration for the use of check-all-that-apply questions to describe the sensory properties of orange juices, Int J Food Sci Technol, 48, 215-219. 

Meyners, M. and Castura. J.C. (2014), Check-all-that apply questions. In Varela P and Ares G, Novel Techniques in Sensory Characterization and Consumer Profiling, Boca Raton, Woodhead Publishing Limited. 

Parente, M.E., Manzoni, A.V. and Ares, G. (2011), External preference mapping of commercial antiaging creams based on consumers responses to a check-all-that-apply question, J Sensory Stud, 26, 158-166. 

Check-all-that-apply (CATA) questions with consumers in practice experimental considerations and impact on outcome... 

A check-all-that-apply (CATA) question is a versatile multiple choice question in which respondents are presented with a list of words or phrases and asked to select all the options they consider appropriate. This question format has been extensively used in marketing research and is popular because it reduces participant response burden (Driesener and Romaniuk, 2006 Rasinki et al., 1994 Smyth et al, 2006). 

Table 11.2 Example of the data matrix used for analysing data from one term of a check-all-that-apply (CATA) question using Cochran s Q test...

Ares, G., Tarrega, A., Izquierdo, L. and Jaeger, S.R. (2014b), Investigation of the nnmber of consnmers necessary to obtain stable sample and descriptor configurations from check-all-that-apply (CATA) questions, Food Qual Prefer, 31, 135-141. 

To compare different uses of a language between groups of consumers. Responses from open-ended questions can also be relevant to compare the spontaneous descriptions provided by different age groups or nationalities, and even how they differ regarding the number of terms used. Different groups of people use particular words and expressions that would not show up if they were given the same checklists, as in check-all-that-apply (CATA) tasks, or the same list of attributes to rate from. 

When a composite is made up of many plies, it is unlikely that all plies will fail simultaneously. Therefore we should expect that failure will occur in one ply before it occurs in the others. To determine which ply will fail first it is simply a question of applying the above method to each ply in turn. Thus it is necessary to determine the stresses or strains in the local (1-2) directions for each ply and then check for the possibility of failure using any or all of the above criteria. This is illustrated in the following Example. 

One question still remains Why do many identification number systems still use check digit schemes that do not catch all of the errors listed in Table 1.2 This is a good question for which I have no answer. However, it does motivate the need to adjust current schemes and to create new ones. All of the concepts introduced in this book can be applied to create sophisticated schemes that will catch most errors. This was demonstrated by the Verhoeff scheme. With the birth of new identification number systems and the existence of old and ineffective check digit schemes, innovative schemes must be developed to ensure that data and information continue to flow error-free. 

Because of these features this factor was typically estimated by a team of people in a workshop. The scoring scheme was qualitative only, and the hazards were scored relative to each other. Visibility was maintained of all hazards being evaluated and the team regularly checked that the scores were being applied in a consistent manner. In making the decisions, a checklist of questions were considered, such as ... 

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