Market Research

Mooi, Erik; Sarstedt, Marko; Mooi‐Reci, Irma

doi:10.1007/978-981-10-5218-7

Cited by 91 publications

(43 citation statements)

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“…Cluster membership was determined by identifying the demarcation point, at which there is an inconsistently large change in the similarity measure between clusters. The demarcation point was identified by plotting the resulting height of each agglomeration (the distances at which piles were merged on the basis of similarity) against the number of clusters and finding the ‘elbow’ in a similar manner to a scree plot in factor analysis [ 37 ]. The interpretation was confirmed by examining the dendrogram produced by the analysis.…”

Section: Methodsmentioning

confidence: 99%

Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity

et al. 2016

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If in-home displays and other interventions are to successfully influence people’s energy consumption, they need to communicate about energy in terms that make sense to users. Here we explore householders’ perceptions of energy consumption, using a novel combination of card-sorting and clustering to reveal shared patterns in the way people think about domestic energy consumption. The data suggest that, when participants were asked to group appliances which they felt naturally ‘went together’, there are relatively few shared ideas about which appliances are conceptually related. To the extent participants agreed on which appliances belonged together, these groupings were based on activities (e.g., entertainment) and location within the home (e.g., kitchen); energy consumption was not an important factor in people’s categorisations. This suggests messages about behaviour change aimed at reducing energy consumption might better be tied to social practices than to consumption itself.

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Section: Methodsmentioning

confidence: 99%

Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity

et al. 2016

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“…At any following stage, similar and closer in characteristics clusters merge, creating a group and continue until cutting the tree at a suitable level. Otherwise, the procedure terminates when all members of a group are consistent, creating one common cluster at the top of a tree-like form, called a dendrogram [43][44][45].…”

Section: Cluster Analysismentioning

confidence: 99%

“…Using this number as an input, the algorithm specifies an initial centre of the cluster (i.e., k), afterwards, observations are assigned to the cluster according to their nearest cluster centres (i.e., one of the k clusters). According to the k-means approach, the number of clusters is not known in advance [43][44][45]. Therefore, the choice of an initial configuration can be based on the results of hierarchical clustering [46].…”

Section: Cluster Analysismentioning

confidence: 99%

Would Kazakh Citizens Support a Milk Co-Operative System?

Kaliyeva

Gadanakis

2021

Agriculture

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We estimate the monetary value of a policy aimed at increasing rural co-operative production in Kazakhstan to increase milk production. We analyse the drivers associated with public support for such policy using the contingent valuation method. The role of individuals’ psychological aspects, based on the reasoned action approach, along with individuals’ views on the country’s past regime (i.e., to the former Soviet Union), their awareness about the governmental policy, their sociodemographic characteristics, and household location on their willingness to pay (WTP) for the policy is analysed using an interval regression model. Additionally, we examine changes in individuals’ WTP before and during the COVID-19 pandemic. The estimated total economic value of the policy is KZT 1335 bn for the length of the program at KZT 267 bn per year, which is approximately half the total program budget, which includes other interventions beyond the creation of production co-operatives. The total economic value of the policy would equal the cost of the whole program after 10 years, indicating public support for this policy amongst Kazakh citizens. Psychological factors, i.e., attitude, perceived social pressure, and perceived behavioural control, and the respondents’ awareness of the policy and views on the Soviet Union regime are associated with their WTP. Sociodemographic factors, namely, age, income, and education, are also statistically significant. Finally, the effect of the shocks of COVID-19 is negatively associated with the respondents’ WTP.

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“…Because all of the items were collapsed into one factor using PCA, a principal axis factoring was used for further item reduction. In the results of factor analysis with orthogonal rotation, items with communality < .50, with factor loadings < .30, or loaded on more than one factor were removed ( Mooi, Sarstedt, & Mooi-Reci, 2018 ). After applying the criteria for factor retention such as the eigenvalue (> 1), percentage of extracted variance (≥ 5%), and cumulative percentage of variance (≥ 50%), 45 items under five factors were retained in the good nurse questionnaire and 45 items under three factors were retained in the better nursing questionnaire.…”

Section: Resultsmentioning

confidence: 99%

Questionnaire Development of a Good Nurse and Better Nursing From Korean Nurses' Perspective

Park

2020

Journal of Nursing Research

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Background The concepts of “good nurse” and “better nursing” have changed over time and should be investigated from the perspective of nurses. Purpose The aim of this study was to develop and assess the psychometric properties of two questionnaires used to assess “good nurse” and “better nursing.” Methods The interview data of 30 registered nurses (RNs) from a previous study were reviewed to develop the questionnaire items, and content validity was examined. One hundred seventeen RNs participated in a pilot survey for pretesting the constructs, 469 RNs participated in a main survey to explore these constructs using exploratory factor analysis (EFA), and 468 RNs participated in model refining and validation using confirmatory factor analysis. Results After a critical review of RN interview data and content validity evaluation, 73 of 124 statements on “good nurse” and 56 of 57 statements on “better nursing” were selected. In the pilot survey, the number of items was reduced to 45 for both questionnaires using an EFA. In the main survey, EFA was used to load 34 items on the five factors of the good nurse questionnaire and 26 items on the three factors of the better nursing questionnaire. In the confirmatory factor analysis, to obtain better fitting models, the good nurse questionnaire consisted of 17 items on the five factors of collaboration, professional competency, self-efficacy, a sense of achievement, and compassion, whereas the better nursing questionnaire consisted of 16 items on the three factors of person-centered nursing, proactive nursing, and expertise in caring. The construct reliability, convergent validity, and discriminant validity of the questionnaires were achieved. Conclusions/Implications for Practice The concept of “good nurse” from the perspectives of the nurses in this study was similar with those of patients in previous studies, while including individual traits such as sense of achievement. Better nursing is conceptualized with the exemplary performance of nursing focusing on the nature of nursing and leading excellence and power in clinical practice. The study findings inform what nursing education and workforce development should focus on for nursing to continuously progress. Furthermore, it is recommended that the concepts of a good nurse and better nursing be compared across different countries using the questionnaires.

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Market Research

Cited by 91 publications

References 0 publications

Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity

Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity

Would Kazakh Citizens Support a Milk Co-Operative System?

Questionnaire Development of a Good Nurse and Better Nursing From Korean Nurses' Perspective

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