scholarly journals Relationship Between Millennials and Brand Loyalty: Mediating Brand Loyalty Factors

2017 ◽  
Vol 5 (3) ◽  
pp. 223
Author(s):  
Dhameeth, S. Gehan ◽  
Ochi, Yamamoto
Keyword(s):  
Root Mean Square ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Management ◽  
Management Strategies ◽  
Second Phase ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Mediating Factors ◽  
The Relationship

<p><em>The purpose of this study is to identify factors (brand elements) that mediate between Millennials and brand loyalty, and to test a theoretical model that includes these mediating factors in describing the relationship between millennials and brand loyalty. The study focused on the key factors that we identified and hypothesized to mediate the relationship between millennials and brand loyalty. The quantitative study surveyed two hundred and fifty-three (n=253) respondents randomly drawn. Structural Equation Modelling (SEM) was used to test a model of the relationship between the mediating factors, millennials and brand loyalty. All model fit parameters were well within acceptable bounds. The Comparative Fit Index (CFI) was 0.999, Root Mean Square Error of Approximation (RMSEA) was 0.018, and Standardized Root Mean Square Residual (SRMR) was 0.022. However, we believe that the model is over-fitting the data, and this is not surprising given that there are 22 variables and 253 data points. These results show promise, but require further investigation in a second phase of the inquiry. This study limited itself to surveying millennials, brand loyalty, and the seven mediating factors we identified and hypothesized to play a role in mediating between them. Based on this study, brand management strategies are proposed.</em><em></em></p>

The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes

2020 ◽  
Vol 42 (5) ◽  
pp. 368-385
Author(s):  
Scott Rathwell ◽  
Bradley W. Young ◽  
Bettina Callary ◽  
Derrik Motz ◽  
Matt D. Hoffmann ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Confirmatory Factor ◽  
Masters Athletes ◽  
Fit Index

Adult sportspersons (Masters athletes, aged 35 years and older) have unique coaching preferences. No existing resources provide coaches with feedback on their craft with Masters athletes. Three studies evaluated an Adult-Oriented Coaching Survey. Study 1 vetted the face validity of 50 survey items with 12 Masters coaches. Results supported the validity of 48 items. In Study 2, 383 Masters coaches completed the survey of 50 items. Confirmatory factor analysis and exploratory structural equation modeling indicated issues with model fit. Post hoc modifications improved fit, resulting in a 22-item, five-factor model. In Study 3, 467 Masters athletes responded to these 22 items reflecting perceptions of their coaches. Confirmatory factor analysis (comparative fit index = .951, standardized root mean square residual = .036, and root mean square error of approximation = .049) and exploratory structural equation modeling (comparative fit index = .977, standardized root mean square residual = .019, and root mean square error of approximation = .041) confirmed the model. The resultant Adult-Oriented Sport Coaching Survey provides a reliable and factorially valid instrument for measuring adult-oriented coaching practices.

scholarly journals Erfassung der Emotionsregulation bei Jugendlichen anhand des „Affective Style Questionnaire – Youth (ASQ-Y)“

Diagnostica ◽  
2019 ◽  
Vol 65 (1) ◽  
pp. 49-59
Author(s):  
Johannes Graser ◽  
Christiane Heimlich ◽  
Augustin Kelava ◽  
Stefan G. Hofmann ◽  
Ulrich Stangier ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Root Mean Square Error ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Affective Style ◽  
Root Mean Square Residual ◽  
Fit Index ◽  
Tucker Lewis Index

Zusammenfassung. Zur Erfassung der 3 Emotionsregulationsstrategien Unterdrücken, Anpassen / Neubewerten und Akzeptieren wurde der Affective Style Questionnaire für Jugendliche (ASQ-Y) adaptiert und an einer entsprechenden Stichprobe (N = 1 092) validiert. Die Dimensionalität des englischen Originalfragebogens und der deutschen Version für Erwachsene konnte auch für Jugendliche bestätigt werden. Während der Analyse kam das ESEM-Verfahren (Exploratory Structural Equation Modeling) zum Einsatz, die Kennwerte bewegten sich im akzeptablen bis sehr guten Bereich. Der Comparative Fit Index (CFI) erreichte einen akzeptablen Wert von .938, ebenso der Tucker–Lewis Index (TLI) mit einem Wert von .911. Der Root Mean Square Error of Approximation (RMSEA) lag bei einem sehr guten Wert von .050, das Standardized Root Mean Square Residual (SRMR) erreichte einen guten Wert von .030. Die internen Konsistenzen der 3 Skalen (Unterdrücken: α = .77; Anpassen / Neubewerten: α = .76; Akzeptieren: α = .76) erreichten (vergleichbar mit dem englischen Original und der deutschen Erwachsenenstichprobe) zufriedenstellende Werte. Die Subskalen zeigten hypothesenkonforme diskriminante und konvergente Zusammenhänge mit etablierten Verfahren des Forschungsbereichs Emotionsregulation, was für die Konstruktvalidität spricht. Insgesamt ist der ASQ-Y als Messinstrument zur Erfassung von verschiedenen Emotionsregulationsstrategien bei Jugendlichen geeignet und ökonomisch in seiner Anwendung. Der ASQ-Y kann in der Allgemeinbevölkerung und in der Prävention eingesetzt werden. Nach entsprechender Validierung ist der Einsatz auch im klinischen Setting möglich.

scholarly journals The Millennials: Insights to Brand Behavior for Brand Management Strategies

2018 ◽  
Vol 9 (3) ◽  
pp. 1
Author(s):  
Babijtchouk Olga ◽  
Dames D. David ◽  
Gehan S. Dhameeth ◽  
Sleezer Adam ◽  
Smith Elliott
Keyword(s):  
Generation X ◽  
Brand Loyalty ◽  
Online Survey ◽  
Partial Correlation ◽  
Brand Management ◽  
Management Strategies ◽  
International College ◽  
Data Points ◽  
Brand Resonance ◽  
The Relationship

Millennial generation has surpassed generation X and Baby Boomers in terms of population (market) size and standout to be the largest market segment. This demographic change will undoubtedly be an opportunity for marketing and brand managers to reach, acquire, and retain Millennial market to achieve organizational profitability. Prior research has not been successful to provide a detailed understanding of Millennials and their degree of brand loyalty over prior generations. In this article, the authors used Kevin Lane Keller’s work (Brand Resonance Pyramid 2009) to test the degree of brand loyalty of Millennials over prior generations and the degree of brand resonance that predicts the brand loyalty while this relationship is moderated by the generation. In addition, they determined how the elements of the brand pyramid relate to each other. In this study, the authors administered an online survey using SurveyMonkey to reach local (US) and international college/university respondents (n=267) age 18 years and above. The survey was administered using a questionnaire (46 data points). Linear Regression and Partial Correlation were used for analysis. The authors find that Millennials and Generation X/Boomers are not significantly different in terms of brand loyalty, brand resonance is a strong positive predictor for brand loyalty, and finally, the relationship between brand resonance and brand loyalty is weaker for Millennials than for Generation X/Boomers.

scholarly journals The Structural Equation Model of Intention to Discontinue Drinking Highly Caffeinated Beverage of Undergraduate Students

2020 ◽  
Vol 26 (1) ◽  
pp. 35-46
Author(s):  
Kyu Eun Lee ◽  
Yunsoo Kim
Keyword(s):  
Root Mean Square ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Health Belief ◽  
Equation Model ◽  
Mean Square ◽  
Beverage Consumption ◽  
Root Mean Square Residual ◽  
Fit Index

Purpose: The purpose of this study was to test a model for intention to discontinuation drinking high caffeinated beverages among undergraduate students. This model was based on the Ajzen’s theory of planned behavior and Becker’s health belief model.Methods: Participants consisted of 201 undergraduate students. Data were collected by questionnaires from March 11 to May 24, 2019. Collected data were analyzed using SPSS/WIN 22.0, AMOS 22.0 program.Results: The assessment of the model indicated an acceptable fit (normed x<sup>2</sup>=1.65, goodness-of-fit index [GFI]=.83, adjusted GFI=.79, comparative fit index [CFI]=.92, standardized root mean square residual [SRMR]=.05, Tucker-Lewis index [TLI]=.91, normed fit index [NFI]=.87, root mean square error of approximation [RMSEA]=.07). Perceived behavior control, subjective norm, the subjective attitude was found to have a significant direct effect on the intention to discontinuation of drinking a high caffeinated beverage. The variances of this model explained 45.3% of the variance in intention to discontinuation of drinking a high caffeinated beverage.Conclusion: These results suggest that a need to increase awareness of adverse effects and potential risks of high caffeinated beverage consumption in undergraduate students. Besides, the university and government should provide education and campaigns to prevent excessive high-caffeinated beverage consumption.

scholarly journals The eating motivations scale (EATMOT): Development and validation by means of confirmatory factor analysis (CFA) and structural equation modelling (SEM)

2020 ◽  
Vol 60 (1) ◽  
pp. 4-9
Author(s):  
P. F. Guiné Raquel ◽  
João Duarte ◽  
Ana Cristina Ferrão ◽  
Manuela Ferreira ◽  
Paula Correia ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Root Mean Square ◽  
Structural Equation Modelling ◽  
Food Choice ◽  
Structural Equation ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Equation Modelling ◽  
Confirmatory Factor

AbstractIntroductionThe objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts for a variety of factors: health, emotions, price and availability, society and culture, environment and politics, and marketing and advertising.MethodsThis is a cross-sectional study focusing on food choice determinants. It was carried out in 16 countries in 2017 and 2018. This study included 11,960 volunteer adult participants from different countries. The data was validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM).ResultsValidation using CFA with SEM revealed that multi-factor modelling produced first- and second-order models that could be used to define the EATMOT scale, the first presenting better fitting indices, with the goodness-of-fit and comparative-fit indices very close to 1, as well as root-mean-square-error-of-approximation, root-mean-square-residual and standardised-root-mean-square-residual at practically zero.ConclusionThe validated EATMOT scale guarantees confidence in the information obtained through this instrument, and can be used in future studies to better understand food choice determinants in different geographical areas and help plan strategies to improve healthy eating patterns and diminish the burden of non-communicable diseases.

scholarly journals The Bidirectional Relationship Between Depressive Symptoms and Homebound Status Among Older Adults

2018 ◽  
Vol 75 (2) ◽  
pp. 357-366 ◽  
Author(s):  
Xiaoling Xiang ◽  
Ruopeng An ◽  
Hyunsung Oh
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Root Mean Square ◽  
Structural Equation ◽  
The State ◽  
Community Dwelling ◽  
Equation Modeling ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Bidirectional Relationship

Abstract Objectives This study aimed to examine the bidirectional relationship between depressive symptoms and homebound status among older adults. Method The study sample included 7,603 community-dwelling older adults from the National Health and Aging Trends Study. A bivariate latent state-trait model of depressive symptoms and homebound status was estimated via structural equation modeling. Results The model fit the data well (Root Mean Square Error of Approximation = .02, Comparative Fit Index = .97, Standardized Root Mean Square Residual = .06). The relationship between homebound status and depressive symptoms can be decomposed into three parts: a moderate correlation between the stable trait components (r = .56, p &lt;.001); a contemporary association of the state components (b = .17, p &lt;.001); and bidirectional lagged effects between the state components. Change in homebound status was as a stronger predictor of depressive symptoms (b = .19, p &lt; .001) than change in depressive symptoms was of homebound status (b = .06, p &lt; .001; test of difference: Δ scaled χ2(1) = 24.2, p &lt; .001). Discussion Homebound status and depressive symptoms form a feedback loop to influence each other. Improving the outdoor mobility of older adults may have immediate benefits for reducing depressive symptoms.

The Relationship of Root Mean Square Value of Electromyography and Isometric Torque of Quadriceps in Normal Subjects

2016 ◽  
Vol 26 (1) ◽  
pp. 58
Author(s):  
Qiurong XIE ◽  
Zheng JIANG ◽  
Qinglu LUO ◽  
Jie LIANG ◽  
Xiaoling WANG ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Normal Subjects ◽  
Mean Square ◽  
Isometric Torque ◽  
Relationship Of ◽  
The Relationship

The relationships among personal accomplishment, resilience and teachers’ experience of teaching multiple school subjects role conflict

2020 ◽  
pp. 1356336X2098077
Author(s):  
Cassandra Iannucci ◽  
K Andrew R Richards ◽  
Ann MacPhail
Keyword(s):  
Root Mean Square ◽  
Role Conflict ◽  
Structural Equation ◽  
Maslach Burnout Inventory ◽  
Personal Accomplishment ◽  
Mean Square ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
School Subjects ◽  
Fit Index

This study develops an understanding of the relationships among personal accomplishment, resilience, and teaching multiple school subjects role conflict (TMSS-RC) among Irish post-primary, multi-subject teachers. A theoretically informed conceptual framework was developed to explain the relationships among personal accomplishment, resilience, and the sub-domains of TMSS-RC: status conflict, schedule conflict, and energy expenditure. Participants included 259 post-primary teachers across Ireland who were responsible for teaching physical education and at least one other school subject concurrently. Participants completed a 46-item, cross-sectional survey consisting of a demographics questionnaire, the TMSS-RC scale, the personal accomplishment subscale from the Maslach Burnout Inventory–Educators Survey, and the 10-item version of the Connor–Davidson Resilience Scale. Concurrent confirmatory factor analysis was first used to confirm the psychometric quality of the hypothesised factor structure. Results indicated that the hypothesised model was a good fit for the data. Structural equation modelling was then used to examine and verify the hypothesised relationships of the conceptual model. Results supported the model with mediation, which showed good model fit: C3(129) = 174.97, p = 0.004, χ 2/df = 1.36; root mean square error of approximation = 0.044 (90% confidence interval = 0.031, 0.057; p = 0.770), standardised root mean square residual = 0.058; non-normed fit index = 0.974; comparitive-fit index (CFI) = 0.978. Collectively, results indicate that as teachers’ levels of personal accomplishment and resilience increase, their experiences of TMSS-RC decrease. This suggests that stress as a result of teaching multiple school subjects concurrently can be reduced with an increase in teachers’ perceived levels of personal accomplishment and resiliency.

scholarly journals Validation of an Adapted Version of the Statistical Anxiety Scale in English and Its Relationship to Attitudes Toward Statistics

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110013
Author(s):  
Monique O’Bryant ◽  
Prathiba Natesan Batley ◽  
Anthony J. Onwuegbuzie
Keyword(s):  
Root Mean Square ◽  
Discriminant Validity ◽  
Factor Model ◽  
The United States ◽  
Anxiety Scale ◽  
Mean Square ◽  
Statistics Anxiety ◽  
Root Mean Square Residual ◽  
Two Factors ◽  
Attitudes Toward Statistics

The aims of this study were to validate an instrument that measured statistics anxiety and to examine how attitudes toward statistics predict statistics anxiety using the Attitudes Toward Statistics (ATS) Scale for a sample of 323 undergraduate social science majors enrolled in colleges and universities in the United States. A confirmatory factor analysis suggested retaining a revised two-factor model of the Statistical Anxiety Scale (SAS) to measure statistics anxiety, namely, help and interpretation anxiety ([Formula: see text] = 49.37, df = 38.13, p = .105, comparative fit index [CFI] = .959, standardized root mean square residual [SRMR] = .035, root mean square error of approximation [RMSEA] = .076). An examination of discriminant validity of the scores of the SAS with scores of the ATS subscales revealed that statistics anxiety and attitudes toward statistics are distinct constructs. Structural equational modeling was used to determine whether attitude toward course and attitude toward field were predictors of examination anxiety and asking for help anxiety. Of the two factors of the ATS scale, attitudes toward field and attitudes toward course, the latter predicted examination anxiety better than the former did, although both were moderate predictors of examination anxiety. We recommend that statistics educators consider the role of statistics anxiety as well as attitudes toward statistics and the field when designing their pedagogical approach.

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