Search Results (5)

Modern textile consumers are increasingly becoming more watchful of the quality of the textiles that they purchase. This has increased the need for textile producers, especially artisan textile makers (e.g., knitters, tailors, dressmakers, seamstresses, and quilters), to improve the quality of their textile products. Information on several analytical tools that are commonly used for assessing the quality of textiles is abundant, but consumer-based tools for evaluating the quality of textiles remain limited. A consumer-based artisan textile-quality scale was developed using data collected from two focus groups (Phase 1) and a consumer quantitative study, n = 196 (Phase 2). Ten scarves and shawls were evaluated in the quantitative study and analysis of variance (ANOVA) was used to determine the differences between the mean textile ratings for all the statements. Coefficient alpha (final raw alpha = 0.87) was also used to assess if the statements were consistent in the way they measured the quality of the textiles. Pearson correlation tests were used to validate the six-statement quality scale that included statements such as overall attention to detail, the fabric is durable, and stitching is even and consistent. Artisan textile makers in the USA can use this scale to better meet the functional needs of their customers. Additionally, the process that was employed in the development of the six-statement quality scale can be used by researchers in other countries to understand better the key quality characteristics of artisan as well other textile products. Full article

Rate All That Apply (RATA) is a derivative of the popularly used Check-All-That-Apply (CATA) question format. For RATA, consumers select all terms or statements that apply from a given list and then continue to rate those selected based on how much they apply. With Rate All Statements (RATING), a widely used standard format for testing, consumers are asked to rate all terms or statements according to how much they apply. Little is known of how the RATA and RATING question formats compare in terms of aspects such as attribute discrimination and sample differentiation. An online survey using either a RATA or RATING question format was conducted in five countries (Brazil, China, India, Spain, and the USA). Each respondent was randomly assigned one of the two question formats (n = 200 per country per format). Motivations for eating items that belong to five food groups (starch-rich, protein-rich, dairy, fruits and vegetables, and desserts) were assessed. More “apply” responses were found for all eating motivation constructs within RATING data than RATA data. Additionally, the standard indices showed that RATING discriminated more among motivations than RATA. Further, the RATING question format showed better discrimination ability among samples for all motivation constructs than RATA within all five countries. Generally, mean scores for motivations were higher when RATA was used, suggesting that consumers who might choose low numbers in the RATING method decide not to check the term in RATA. More investigation into the validity of RATA and RATING data is needed before use of either question format over the other can be recommended. Full article

Check All That Apply (CATA) has become a popular type of questionnaire response in sensory/consumer research in recent years. However, some authors have pointed out potential problems with the method. An online survey using either a Check-All-That-Apply (CATA) or Check-All-Statements (CAS) format for questions was conducted to provide a deeper understanding of the response data using the two question formats. With CATA, respondents select all terms or statements that apply from a given list, while, with CAS, respondents must respond (e.g., yes/no or agree/disagree) to each term or statement to show that it applies or does not apply. Respondents from five countries (Brazil, China, India, Spain, and the USA) were randomly assigned one of the two question formats (N = 200 per country per method). Motivations for eating items that belong to five food groups (starchy, protein, dairy, fruits, and desserts) were assessed. Results showed that CAS had higher percentages of “agree” responses than CATA. Also, the response ratio of CAS and CATA data was different, suggesting that interpretations of the data from each response type would also be different. Respondents in the USA, China, and Spain took longer to complete the CAS questionnaire, while respondents in Brazil and India had similar time durations for the two question formats. Overall, the CATA format was liked slightly more than the CAS format and fewer respondents dropped out of the survey when using the CATA response type. These findings suggest that the CATA format is quick and relatively easy for consumers to complete. However, it provokes fewer “apply” responses, which some psychologists suggest underestimates applicable terms or statements and CATA provides a different interpretation of data than the CAS format that requires consumers to respond to each term or statement. Further, CAS may overestimate the applicable terms. Consumer insights collected using CATA and CAS can lead to different decisions due to differences in data interpretation by researchers (e.g., marketers, nutritionists, product developers, and sensory scientists). More investigation is needed for the CATA and CAS question formats. Full article

Question formats are critical to the collection of consumer health attitudes, food product characterizations, and perceptions. The information from those surveys provides important insights in the product development process. Four formats based on the same concept have been used for prior studies: Check-All-That-Apply (CATA), Check-All-Statements (CAS), Rate-All-That-Apply (RATA), and Rate-All-Statements (RAS). Data can vary depending on what question format is used in the research, and this can affect the interpretation of the findings and subsequent decisions. This survey protocol compares the four question formats. Using a modified version of the Eating Motivation Survey (EMS) to test consumer eating motivations for five food items, each question format was translated and randomly assigned to respondents (N = 200 per country per format) from Brazil (Portuguese), China (Mandarin Chinese), India (Hindi or English), Spain (Spanish), and the USA (English). The results of this survey should provide more understanding of the differences and similarities in distribution of data for the four scale formats. Also, the translations and findings of this survey can guide marketers, sensory scientists, product developers, dieticians, and nutritionists when designing future consumer studies that will use these question formats. Full article

Flavor continues to be a driving force for coffee’s continued growth in the beverage market today. Studies have identified the sensory aspects and volatile and non-volatile compounds that characterize the flavor of different coffees. This review discusses aspects that influence coffee drinking and aspects such as environment, processing, and preparation that influence flavor. This summary of research studies employed sensory analysis (either descriptive and discrimination testing and or consumer testing) and chemical analysis to determine the impact aspects on coffee flavor. Full article