• Title/Summary/Keyword: quantitative descriptive analysis

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Sensory Characteristics of Rice Confections by Descriptive Analysis (묘사분석을 이용한 쌀 과자의 관능적 특성 연구)

  • Jung, Daeun;Yang, Jeong Eun;Chung, Lana
    • Journal of the Korean Society of Food Culture
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    • v.31 no.1
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    • pp.105-110
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    • 2016
  • The objective of this study was to determine sensory profiles of rice confections. The samples used in this study obtained from Korea (traditional Korea rice snack and local specialty rice snack) and three countries (USA, Japan, and China) were evaluated and compared. The sensory characteristics of five kinds of rice confections were evaluated using a sensory test and were analyzed via quantitative description analysis (QDA), principal component analysis (PCA), and hierarchical cluster analysis (HCA). In the descriptive analysis, 10 trained panelists evaluated sensory characteristics consisting of 19 attributes, and there were significant differences (p<0.05) among the 16 characteristics. For the descriptive data, multivariate analysis of variance was carried out and identified differences among the samples. The PCA of rice confections for the first two principal components could explain 85.66% of the variations. The Korean, Japanese, and Chinese rice confections were savory, gritty, and particle-sized, the other Korean local specialty rice confections were fruity, sweet, honey-flavored, compact, and crispy, and those from the USA were glossy, grainy, bright, adhesive, cohesive, crispy, and sweet.

Application of Quantitative Descriptive Analysis to Commercial Soybean Curd (시판 두부의 품질 평가시 정량적 묘사 분석의 적용)

  • Suh, Dong-Soon;Kim, Shin-Hae;Hong, Jae-Hee;Kim, Kwang-Ok
    • Journal of the Korean Society of Food Culture
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    • v.16 no.1
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    • pp.58-64
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    • 2001
  • This study was carried out to develop character notes and to define the terminology for the evaluation of soybean curd using quantitative descriptive analysis. Panelists were selected according to their performance with ranking on basic tastes, flavor and texture properties related to soybean curd. After being trained, they identified the following attributes and defined the terminology: appearance(smoothness of the surface, amount of cracks, yellowness, grayness), flavor(sweet, salt and bitter tastes, cooked bean, raw bean, wet wheat flour, roasted bean, astringency), and textural properties(hardness, elasticity, inner moistness, coarseness, adhesiveness, and residuals). Reference samples for flavor attributes were also determined. Four types of commercial soybean curd were evaluated with the technique developed. Among soybean curd samples, there were significant differences in the intensity of all sensory attributes, confirming appropriateness of the evaluation methodology.

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Quantitative Descriptive Analysis and Acceptance Test of Low-salted Sauerkraut (fermented cabbage) (저염 Sauerkraut (fermented cabbage)의 정량적 묘사분석 및 기호도 연구)

  • Ji, Hye-In;Kim, Da-Mee
    • Journal of the Korean Society of Food Culture
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    • v.37 no.3
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    • pp.239-247
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    • 2022
  • This study evaluated the sensory characteristics of sauerkraut prepared by adding 0.5, 1.0, 1.5, 2.0, and 2.5% (w/w) sea salt to cabbage. The quantitative descriptive analysis (QDA) and acceptance test of sauerkraut were determined for each salt concentration, and the principal component analysis (PCA) and partial least square regression (PLSR) analysis were performed to confirm the correlation between each factor. Results of the QDA determined 14 descriptive terms; furthermore, brightness and yellowness of appearance and the sour, salty, and bitter flavors differed significantly according to the salt concentration. Results from the PCA explained 22.56% PC1 and 65.34% PC2 of the total variation obtained. Sauerkraut prepared using 0.5, 1.0, and 1.5% sea salt had high brightness, moistness, sour odor, green odor, sour flavor, carbonation, hardness, chewiness, and crispness, whereas sauerkraut prepared with 2.0 and 2.5% sea salt had high yellowness, glossiness, salty flavor, sweet flavor, and bitter flavor. Hierarchical cluster analysis classified the products into two clusters: sauerkraut of 0.5, 1.0, and 1.5%, and sauerkraut of 2.0 and 2.5%. Results of PLSR determined that sauerkraut of 1.0 and 1.5% were the closest to texture, taste, and overall acceptance. We, therefore, conclude that sauerkrauts prepared using 1.0 and 1.5% sea salt have excellent characteristics in appearance, taste, and texture.

Sensory Characteristics and Consumer Acceptance of Gluten-Free Rice Pasta with Added Buckwheat, Mungbean and Acorn Starches (메밀, 녹두, 도토리 전분을 첨가한 글루텐 프리 쌀파스타의 관능적 특성)

  • Jung, Jin Hyuck;Yoon, Hye Hyun
    • Korean journal of food and cookery science
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    • v.32 no.4
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    • pp.413-425
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    • 2016
  • Purpose: This study was conducted to understand the factors that affect the acceptance of gluten-free rice pasta samples prepared with added buckwheat, mungbean, and acorn starches, and to compare sensory characteristics of samples with those of 100% semolina pasta. Methods: Descriptive analysis of pasta was conducted by 12 trained panels. Acceptance test was carried out by 40 consumers using 7-point hedonic scale. Collected data was statistically analyzed by principal component analysis, and partial least squares regression analysis. Results: Quantitative descriptive analysis showed that increasing amount of buckwheat, mungbean, and acorn starches resulted in significant improvement in gluten-free rice pasta properties, especially texture, hardness, chewiness, roughness, and al dente with increasing amount of sample starches, and decreased adhesiveness. In acceptance test, appearance and texture of gluten-free rice pasta with mungbean starch were preferred than pasta made with 100% rice. Flavor and taste was preferred in pasta with buckwheat starch than other pasta samples. Rice pasta with 30% buckwheat starch showed the highest score in overall acceptance among rice samples. Conclusion: This study suggested that adding mungbean starch could improve texture of gluten-free pasta, and adding buckwheat starch would improve taste and flavor of gluten-free rice pasta.

A Study on Sensory Properties of Backsulgi using Dry Non-Glutinous Rice Flour

  • Park, Young Mi;Yoon, Hye Hyun
    • Culinary science and hospitality research
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    • v.20 no.5
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    • pp.34-42
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    • 2014
  • The study explores the sensory properties of Backsulgi prepared with dry non-glutinous rice flour sweetened with various sweeteners(sugar, honey, oligosaccharide, trehalos, erythritol and accesulfame K). Sensory attributes of Backsulgi were evaluated by quantitative descriptive analysis(QDA), PCA and PLSR. The QDA results revealed that the sample sweetened with trehalose showed highest value in dryness, and samples with accesulfame K, honey and erythriol had relatively high levels in moisture and springiness. Principle component analysis (PCA) results showed 78.89 % of the total variation with PC1 (54.92%) and PC2 (23.98%), respectively. The samples with accesulfame K(AF) and honey, which showed high values in moisture level, springiness and sweet taste, showed similar attributes which led to a positive direction of PC1. The correlation between the sensory attributes and consumer acceptance showed that the most important factors for high consumer acceptance were moistness, springiness, sweet taste and sweet flavor. Overall, the samples with accesulfame K(AF) had the closest position in the PLSR results with highest overall consumer satisfaction.

A Research on the Trend of Quantitative Research through the Analysis of Master's and Doctoral Dissertations of Information Literacy (정보활용능력 분야 학위논문 분석을 통한 양적 연구 동향에 관한 연구)

  • Seo, Man-Deok;Nam, Young-Joon
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.309-328
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    • 2010
  • This study has analyzed the trend of the quantitative research by analyzing domestic dissertations on information literacy that were published since 2000. The procedures, regulations, and descriptive elements of the quantitative study were compared and analyzed for this study. In addition, the study used 5 variables and criterions to measure these items. Based on the calculations, the study has examined the general characteristics of the thesis, research method, sampling method and sampling population of the dissertations. The study has also analyzed the trend of the measurement variables by categorizing the characteristics by published year and majors. Furthermore, the study has also presented the trend of the usage of statistic analysis method on research purpose by classifying the method into each purpose.

The Impacts of Threat Emotions and Price on Indonesians' Smartphone Purchasing Decisions

  • PRADANA, Mahir;WISNU, Aditya
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.1017-1023
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    • 2021
  • This research aims to determine the effect of customers' threat emotion and price on the decision to purchase a certain smartphone product. This study uses a quantitative method with a type of descriptive and causal research. It employs non-probability sampling with purposive sampling, with 385 respondents to answer the questionnaires. Data analysis techniques used descriptive analysis and multiple linear regression analysis. Based on the results of descriptive analysis of emotion, price and purchasing decisions are in sync with each other. The results of multiple linear regression analysis techniques indicate the threat emotion and brand trust are influential against the positive decision to purchase smartphone products. The magnitude of the influence of emotions and price have simultaneous effect on purchasing decisions and other decision variables, which are not included in this study, also play minor role in determining purchase intention, such as product quality, brand image and others. Partially, threat emotion and brand trust have a positive effect toward purchasing decisions. The magnitude of the highest influence was the one of price, then followed by emotional threats. The findings of this study suggest that psychological and behavioral effects also play important roles in determining customers' purchase decision.

Statistical Profiles of Users' Interactions with Videos in Large Repositories: Mining of Khan Academy Repository

  • Yassine, Sahar;Kadry, Seifedine;Sicilia, Miguel Angel
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2101-2121
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    • 2020
  • The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

Multivariate Analysis among Leaf/Smoke Components and Sensory Properties about Tobacco Leaves Blending Ratio

  • Lee Seung-Yong;Lee Whan-Woo;Lee Kyung-Ku;Kim Young-Hoh
    • Journal of the Korean Society of Tobacco Science
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    • v.27 no.1 s.53
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    • pp.141-152
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    • 2005
  • This study focused on the relationships among leaf and smoke components and sensory properties following tobacco leaf blending. A completely randomized experimental design was used to evaluate components of leaf and smoke and sensory properties for sample cigarettes with four mixtures of flue cured and burley tobacco (40:60, 60:40, 80:20 and 100:0). Eleven leaf components, six smoke components, and eight sensory properties of smoking taste were analyzed. A sensory evaluation method known as quantitative descriptive analysis was used to evaluate perceptual strength on a fifteen score scale. Raw data from ten trained panelists were obtained and statistically analyzed. Based on the MANOVA, clustering analysis, correlation matrix and partial least square (PLS) method were applied to find out which smoke component most affected sensory properties. The PLS method was used to remove the influence between explanatory variables in the leaf, smoke components derived from the results. High correlations (p<0.0l) were found among ten specific leaf and smoke components and sensory attributes. Total nitrogen, ammonia, total volatile base, and nitrate in the leaf were significantly correlated (p<0.05) with impact, bitterness, tobacco taste, irritation, smoke volume, and smoke pungency. From the results of PLS analysis, influence variables are used to explain about the correlation. In terms of bitterness, with only two explanatory variables, Leaf $NO_3$ and Leaf crude fiber were enough for guessing their correlation. In the distance weighted least square fitting analysis, carbon monoxide highly influenced bitterness, hay like taste, and smoke volume.

Effects of marbling on physical and sensory characteristics of ribeye steaks from four different cattle breeds

  • Shahrai, Nurul Nuraliya;Babji, Abdul Salam;Maskat, Mohamad Yusof;Razali, Ahmad Faisal;Yusop, Salma Mohamad
    • Animal Bioscience
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    • v.34 no.5
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    • pp.904-913
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    • 2021
  • Objective: Marbling or intramuscular fat (IMF) has been widely reported to directly impact the sensory acceptance of meat. This study was carried out to determine the physical and sensory characteristics of ribeye, Longissimus dorsi steaks obtained from four different cattle breeds namely Wagyu, Angus, Brahman, and Malaysian local beef, the Kedah-Kelantan (KK). Methods: The degree of marbling was determined by using an established combined camera-image analysis technique while instrumental texture determination was carried out by using Warner-Bratzler shear force analysis. Sensory evaluation of the beef steaks was performed following a quantitative descriptive analysis incorporating 10 trained consumer panelists. Results: Wagyu was found to possess the highest (p<0.05) percentage of IMF at 33.90% and the lowest shear force (raw = 5.61 N/㎟; cooked = 14.72 N/㎟) followed by Angus (20.87%), Brahman (12.17%), and KK (p<0.05, 6.86%). The difference in sensory properties of the four steaks was evident, with Wagyu appearing to be highly correlated with most sensory attributes measured namely sustained buttery, tooth-packing, chewiness, juiciness, tenderness, mouthfeel, oiliness, and overall acceptability. The Malaysian local beef, KK was found to be less acceptable (p<0.05), although most of its sensory attributes were found similar (p>0.05) in appearance, aroma, texture, juiciness, and flavour to the cooked steak from Angus and Brahman. Conclusion: This present study demonstrated the role of IMF in determining the quality and sensory acceptance of beef from different cattle breeds. These data have provided new information and further understanding on the physical and sensory quality of Malaysian local beef.