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Of the 317 collected questionnaires, 271 responses were considered valid and were used in the final analysis. Due to incomplete responses, 27 subjects were excluded. Given the nature of this study, 19 participants with a nut allergy were also excluded. Most participants were under age 35 (94%), and 243 respondents were women (89%). Regarding participants' prior knowledge of pecans (pecans' nutritional and health benefits), only 74 participants (27.3%) indicated that they are familiar with their nutritional and health benefits.
Reliability and validity of measures
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Cronbach's alpha coefficients determined the internal consistency of the items, and items with sufficient Cronbach's alphas were maintained for the scales. The results were that all five constructs met the recommended cut-off value of 0.70, and a total of 18 items were maintained for the five constructs in the study.
Using Amos 28 Graphics software (SEM package), a confirmative factor analysis (CFA) for the measurement model with five constructs was performed. The goodness-of-fit statistics demonstrated that all criteria met the suggested values in the measurement model ((χ2)/df = 2.20; GFI = 0.91; AGFI = 0.87; CFI = 0.97; RMR = 0.05, and RMSEA = 0.07).
Table 1 shows the factor loadings, composite reliability, and average variance extracted. Convergent validity criteria was satisfied as all factor loadings were significant and varied from 0.76 to 0.97[42]. Unidimensionality and convergent validity of the constructs were evaluated by the composite reliability measure and the average variance extracted (AVE), respectively. Composite reliability criteria (0.6) were satisfied demonstrating a range from 0.89 to 0.95. The average variance extracted ranged from 0.65 to 0.85, meeting the 0.50 criteria. Good discriminant validity of all scales was confirmed as the scales were evaluated for all possible paired combinations of the constructs and all χ2 differences were significant.
Table 1. Confirmatory factor analysis for the constructs.
Latent variables and observed indicators Standardized factor loading T-value3 Information quality (α = 0.95, CR = 0.95, AVE = 0.751) Information contained in the brochure 1. Provides accurate information. 0.85 –2 2. Provides current and timely information. 0.82 22.53 3. Provides relevant information. 0.86 18.98 4. Provides easy-to-understand information. 0.90 20.04 5. Provides believable information. 0.91 20.54 6. Provides information at the right level of detail. 0.85 18.39 Consumer improved knowledge (α = 0.89, CR = 0.90, AVE = 0.65) 1. After reading the pecan brochure, I feel very knowledgeable about pecan. 0.76 – 2. If a friend asked me about pecan nutritional and health benefits, I could give them advice. 0.80 14.71 3. Pecans are a good source of fiber, healthy fats, protein, and various vitamins and minerals. 0.81 12.56 4. After reading the pecan brochure, I have learned that pecans are healthy nuts that provide various nutritional benefits. 0.86 13.58 Trust in information source (α = 0.95, CR = 0.95, AVE = 0.85) 1. I believe that the organization that developed this brochure is trustworthy. 0.93 – 2. I trust the information contained in the brochure. 0.91 25.36 3. You can expect sound advice from the organization that developed the brochure. 0.93 27.47 Willingness to recommend (α = 0.91, CR = 0.91, AVE = 0.79) 1. After reading the pecan brochure, I would recommend pecan to my family and friends. 0.77 – 2. After reading the pecan brochure, I would share with my family and friends about the pecan's health benefits. 0.97 17.40 3. After reading the pecan brochure, I would share the information from this pecan brochure with others. 0.91 16.78 Intention to try (α = 0.89, CR = 0.89, AVE = 0.81) 1. I will try eating pecan in the next few weeks. 0.88 – 2. I plan to try pecan in the next few weeks. 0.92 13.34 1. α = Cronbach’s alpha, CR = composite reliability, AVE = average variance extracted
2. '–' means the path parameter was set to 1. Therefore, no t-value was given.
3. All loadings are significant at a 0.001 levelStructural model
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Guided by the proposed hypotheses, development of a structural equation modeling assessed the statistical significance of the proposed relationships demonstrated in Fig. 1. Each of the fit measures found the structural model moderately acceptable ((χ2)/df = 1.88 (p < 0.00); GFI = 0.92; AGFI = 0.88; CFI = 0.98; RMR = 0.04, and RMSEA = 0.06). Aside from the model's general fit for the data, its parameters were tested to determine whether to accept the proposed relationships between the five constructs[43]. Based on the estimations from the structural model, five out of six hypotheses were supported (p < 0.001) (Table 2).
Table 2. Results of hypotheses testing.
Relationships Std. coefficient S.E. T-value P-value Results H1 Information Quality → Improved Knowledge 0.59 0.05 8.90 ≤ 0.001 Supported H2 Information Quality →
Trust in Information Source0.48 0.06 7.90 ≤ 0.001 Supported H3 Improved Knowledge → Willingness to Recommend 0.45 0.09 6.80 ≤ 0.001 Supported H4 Improved Knowledge → Intention to Try 0.38 0.11 4.29 ≤ 0.001 Supported H5 Trust in Information Source → Willingness to Recommend 0.22 0.07 3.52 ≤ 0.001 Supported H6 Trust in Information Source → Intention to Try 0.10 0.08 1.24 > 0.05 Unsupported The results provided strong support for H1 and H2, which indicated that a higher level of perceived information quality could result in a higher level of consumers' knowledge about a product and trust in the information source. The findings also supported H3 and H4, implying that a higher level of knowledge improves consumers' willingness to recommend and intention to try unfamiliar food. The results also showed that higher trust in information sources could increase consumers' willingness to recommend the product to their family and friends (H5). However, we found that trust in information sources did not significantly influence consumers' intention to try a product (H6).
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Developing a further understanding of how the information quality of a nutrition education program affects consumers' nutrition knowledge, trust, and intention to try and recommend pecans is a key component of increasing pecan consumption among young populations. Increasing consumers' knowledge surrounding the health benefits of pecans may be best achieved through high quality education materials from a reputable source. Social media should be considered in these strategies to target a younger demographic. Future research conducted in varying populations and evaluating prior health-related knowledge variables would add invaluable insight to the current body of literature. Increasing the efficacy of nutrition education programs for pecans has the potential to not only stimulate growth in the industry, but also improve public health by promoting this heart-healthy food.
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About this article
Cite this article
Szacilo A, Tong X, Tan L, Chen H, Kong L. 2023. The role of information quality in designing effective nutrition education programs for pecans. Food Innovation and Advances 2(2):156−162 doi: 10.48130/FIA-2023-0018
The role of information quality in designing effective nutrition education programs for pecans
- Received: 02 February 2023
- Accepted: 21 April 2023
- Published online: 20 June 2023
Abstract: Pecans have many health benefits and are known for being part of a heart-healthy diet. Nutrition education is a key component in increasing pecan consumption among young consumers. In an effort to improve the efficacy of nutrition education targeting a younger demographic, this study aims to investigate how the information quality of a nutrition education program affects consumers' nutrition knowledge, trust, and intentions to recommend and try pecans. A total of 271 usable questionnaires were collected from college students at a southeast university. Our findings indicate that information quality could directly influence consumer knowledge and trust in an information source and indirectly influences consumers' willingness to recommend or try a product. This study also showed that improved consumer knowledge and trust in an information source could strongly affect their willingness to recommend pecan products. The findings of this study can be used to increase the efficacy of educational marketing strategies in the pecan industry and drive an increase in consumption among younger populations.
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Key words:
- Pecan /
- Nutrition education /
- Information quality /
- Willingness to recommend /
- Intent to try