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"This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research."

"This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data--showing code, graphics, and accompanying tabular listings--for all the methods they cover. They emphasize how to construct and interpret graphs. They discuss principles of graphical design. They identify situations where visual impressions from graphs may need confirmation from traditional tabular results. All chapters have exercises.The authors provide and discuss R functions for all the new graphical display formats. All graphs and tabular output in the book were constructed using these functions. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses.This book can serve as a standalone text for statistics majors at the masters level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. In-depth discussions of regression analysis, analysis of variance, and design of experiments are followed by introductions to analysis of discrete bivariate data, nonparametrics, logistic regression, and ARIMA time series modeling. The authors illustrate classical concepts and techniques with a variety of case studies using both newer graphical tools and traditional tabular displays."

"This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA."

"Aplikasi food and beverage (F&B) menjadi salah satu kategori aplikasi mobile dengan unduhan terbanyak, sehingga membuat brand makanan dan minuman mengembangkan aplikasi mereka sendiri. Namun, aplikasi tersebut menghadapi tantangan seperti rating dan minat penggunaan yang rendah serta churn rate yang tinggi. Penelitian ini bertujuan mengidentifikasi dimensi perceived value dan pengaruhnya terhadap kepuasan dan brand attachment, serta pengaruh dari kepuasan dan brand attachment terhadap luaran perilaku pengguna (behavioral outcomes) yaitu purchase intention, continuance intention, dan word of mouth intention dalam konteks aplikasi F&B. Pendekatan mixed-method digunakan dalam penelitian ini. Melalui analisis kualitatif dengan thematic analysis, ditemukan lima dimensi perceived value, yaitu functional value, emotional value, monetary value, epistemic value, dan conditional value. Temuan ini diintegrasikan dengan social influence, Expectation-Confirmation Model (ECM), serta brand attachment, dan dianalisis secara kuantitatif menggunakan Partial Least Square Structural Equation Model (PLS-SEM) terhadap 728 pengguna aplikasi F&B. Hasil menunjukkan bahwa kelima dimensi perceived value memengaruhi kepuasan, dan hanya functional value yang tidak memengaruhi brand attachment. Dimensi-dimensi perceived value tersebut juga dipengaruhi oleh social influence dan confirmation, terkecuali untuk dimensi functional value yang tidak dipengaruhi oleh social influence. Ditemukan juga bahwa kepuasan dan brand attachment memengaruhi ketiga behavioral outcomes. Penelitian ini memberikan wawasan bagi pengembang dan perusahaan di berbagai industri untuk meningkatkan kualitas aplikasi sehingga dapat mempertahankan pengguna dan meningkatkan penjualan melalui aplikasi tersebut.

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Food and beverage (F&B) apps are among the most downloaded mobile app categories, leading food and beverage brands to develop their apps. However, these apps face challenges such as low rating, low usage interest, and high churn rate. This study aims to identify the dimensions of perceived value and their influence on satisfaction and brand attachment, also the influence of satisfaction and brand attachment on users' behavioral outcomes, namely purchase intention, continuance intention, and word-of-mouth intention in the context of F&B apps. A mixed-method approach was used in this study. Through qualitative analysis using thematic analysis, found that five dimensions of perceived value are functional, emotional, monetary, epistemic, and conditional. These values were integrated with social influence, expectation-confirmation model (ECM), and brand attachment and analyzed quantitatively using Partial Least Square Structural Equation Model (PLS-SEM) on 728 F&B app users. Results show that the five dimensions of perceived value influence satisfaction by being influenced by social influence and confirmation, with only functional value not influencing brand attachment and not being influenced by social influence. Additionally, satisfaction and brand attachment influenced all three behavioral outcomes. This research provides insights for developers and companies in various industries to improve app quality to retain users and increase sales through their apps."

"Aplikasi food and beverage (F&B) menjadi salah satu kategori aplikasi mobile dengan unduhan terbanyak, sehingga membuat brand makanan dan minuman mengembangkan aplikasi mereka sendiri. Namun, aplikasi tersebut menghadapi tantangan seperti rating dan minat penggunaan yang rendah serta churn rate yang tinggi. Penelitian ini bertujuan mengidentifikasi dimensi perceived value dan pengaruhnya terhadap kepuasan dan brand attachment, serta pengaruh dari kepuasan dan brand attachment terhadap luaran perilaku pengguna (behavioral outcomes) yaitu purchase intention, continuance intention, dan word of mouth intention dalam konteks aplikasi F&B. Pendekatan mixed-method digunakan dalam penelitian ini. Melalui analisis kualitatif dengan thematic analysis, ditemukan lima dimensi perceived value, yaitu functional value, emotional value, monetary value, epistemic value, dan conditional value. Temuan ini diintegrasikan dengan social influence, Expectation-Confirmation Model (ECM), serta brand attachment, dan dianalisis secara kuantitatif menggunakan Partial Least Square Structural Equation Model (PLS-SEM) terhadap 728 pengguna aplikasi F&B. Hasil menunjukkan bahwa kelima dimensi perceived value memengaruhi kepuasan, dan hanya functional value yang tidak memengaruhi brand attachment. Dimensi-dimensi perceived value tersebut juga dipengaruhi oleh social influence dan confirmation, terkecuali untuk dimensi functional value yang tidak dipengaruhi oleh social influence. Ditemukan juga bahwa kepuasan dan brand attachment memengaruhi ketiga behavioral outcomes. Penelitian ini memberikan wawasan bagi pengembang dan perusahaan di berbagai industri untuk meningkatkan kualitas aplikasi sehingga dapat mempertahankan pengguna dan meningkatkan penjualan melalui aplikasi tersebut.

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Food and beverage (F&B) apps are among the most downloaded mobile app categories, leading food and beverage brands to develop their apps. However, these apps face challenges such as low rating, low usage interest, and high churn rate. This study aims to identify the dimensions of perceived value and their influence on satisfaction and brand attachment, also the influence of satisfaction and brand attachment on users' behavioral outcomes, namely purchase intention, continuance intention, and word-of-mouth intention in the context of F&B apps. A mixed-method approach was used in this study. Through qualitative analysis using thematic analysis, found that five dimensions of perceived value are functional, emotional, monetary, epistemic, and conditional. These values were integrated with social influence, expectation-confirmation model (ECM), and brand attachment and analyzed quantitatively using Partial Least Square Structural Equation Model (PLS-SEM) on 728 F&B app users. Results show that the five dimensions of perceived value influence satisfaction by being influenced by social influence and confirmation, with only functional value not influencing brand attachment and not being influenced by social influence. Additionally, satisfaction and brand attachment influenced all three behavioral outcomes. This research provides insights for developers and companies in various industries to improve app quality to retain users and increase sales through their apps."

"Aplikasi food and beverage (F&B) menjadi salah satu kategori aplikasi mobile dengan unduhan terbanyak, sehingga membuat brand makanan dan minuman mengembangkan aplikasi mereka sendiri. Namun, aplikasi tersebut menghadapi tantangan seperti rating dan minat penggunaan yang rendah serta churn rate yang tinggi. Penelitian ini bertujuan mengidentifikasi dimensi perceived value dan pengaruhnya terhadap kepuasan dan brand attachment, serta pengaruh dari kepuasan dan brand attachment terhadap luaran perilaku pengguna (behavioral outcomes) yaitu purchase intention, continuance intention, dan word of mouth intention dalam konteks aplikasi F&B. Pendekatan mixed-method digunakan dalam penelitian ini. Melalui analisis kualitatif dengan thematic analysis, ditemukan lima dimensi perceived value, yaitu functional value, emotional value, monetary value, epistemic value, dan conditional value. Temuan ini diintegrasikan dengan social influence, Expectation-Confirmation Model (ECM), serta brand attachment, dan dianalisis secara kuantitatif menggunakan Partial Least Square Structural Equation Model (PLS-SEM) terhadap 728 pengguna aplikasi F&B. Hasil menunjukkan bahwa kelima dimensi perceived value memengaruhi kepuasan, dan hanya functional value yang tidak memengaruhi brand attachment. Dimensi-dimensi perceived value tersebut juga dipengaruhi oleh social influence dan confirmation, terkecuali untuk dimensi functional value yang tidak dipengaruhi oleh social influence. Ditemukan juga bahwa kepuasan dan brand attachment memengaruhi ketiga behavioral outcomes. Penelitian ini memberikan wawasan bagi pengembang dan perusahaan di berbagai industri untuk meningkatkan kualitas aplikasi sehingga dapat mempertahankan pengguna dan meningkatkan penjualan melalui aplikasi tersebut.

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Food and beverage (F&B) apps have become one of the most downloaded mobile app categories, leading food and beverage brands to develop their apps. However, these apps face challenges such as low rating and usage interest, as well as high churn rate. This study aims to identify the dimensions of perceived value and their influence on satisfaction and brand attachment, as well as the influence of satisfaction and brand attachment on users' behavioral outcomes, namely purchase intention, continuance intention, and word-of-mouth intention in the context of F&B apps. A mixed-method approach was used in this study. Through qualitative analysis using thematic analysis, found that five dimensions of perceived value are functional, emotional, monetary, epistemic, and conditional. These values were integrated with social influence, expectation-confirmation model (ECM), and brand attachment and analyzed quantitatively using the Structural Equation Model Partial Least Square (PLS-SEM) on 728 F&B app users. Results show that the five dimensions of perceived value influence satisfaction, and only functional value that does not influence brand attachment. These perceived value dimensions are also influenced by social influence and confirmation, except for the functional value dimension which is not influenced by social influence. It was also found that satisfaction and brand attachment influenced all three behavioral outcomes. This research provides insights for developers and companies in various industries to improve the quality of their apps to retain users and increase their sales through their apps."