scholarly journals De Netwerkstructuur van Resilience: Positief Affect in Relatie tot Emoties

2018 ◽  
Author(s):  
Jasper Naberman
Keyword(s):  
Time Series ◽  
Positive Emotions ◽  
Sampling Method ◽  
Time Series Data ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Series Data ◽  
Broaden And Build Theory

In deze studie is gekeken naar de netwerkstructuur van resilience. Hiervoor is gebruik gemaakt van netwerkanalyse om enkele eigenschappen van resilience in netwerkmodellen te schatten. Extra aandacht is er voor positief affect, welke naar de broaden-and-build theory of positive emotions (Fredrickson, 1998) een centrale rol zou spelen in resilience. Er deed een totaal van 31 deelnemers mee waarbij twee weken lang driemaal daags time series data werd afgenomen naar de experience sampling method. Er werden temporal en contemporaneous individuele netwerkmodellen geschat, waaruit bleek dat positief affect een minder centrale rol vertolkt dan op basis van de broaden- and-build theory of positive emotions werd verwacht. De aanwezigheid van partiële correlaties geeft een indicatie van causaliteit tussen de knopen van de netwerken.

scholarly journals ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data

2020 ◽  
Author(s):  
Laura F. Bringmann ◽  
Date C. van der Veen ◽  
Marieke Wichers ◽  
Harriëtte Riese ◽  
Gert Stulp
Keyword(s):  
Time Series ◽  
Sampling Method ◽  
Time Series Data ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Series Data ◽  
Dynamic Visualization ◽  
Personalized Feedback ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

Abstract Purpose The experience sampling method (ESM) is used for intensive longitudinal time-series data collection during normal daily life. ESM data give information on momentary affect, activities and (social) context of, for example, patients suffering from mental disorders, and allows for person-specific feedback reports. However, current personalized feedback reports only display a selection of measured variables, and typically involve only summary statistics, thus not reflecting the dynamic fluctuations in affect and its influencing factors. To address this shortcoming, we developed a tool for dynamically visualizing ESM data. Methods We introduce a new framework, ESMvis, for giving descriptive feedback, focusing on direct visualization of the dynamic nature of raw data. In this ESM feedback approach, raw ESM data are visualized using R software. We applied ESMvis to data collected for over 52 weeks on a patient diagnosed with an obsessive–compulsive disorder with comorbid depression. Results We provided personalized feedback, in which both the overall trajectory and specific time moments were captured in a movie format. Two relapses during the study period could be visually determined, and subsequently confirmed by the therapist. The therapist and patient evaluated ESMvis as an insightful add-on tool to care-as-usual. Conclusion ESMvis is a showcase on providing personalized feedback by dynamic visualization of ESM time-series data. Our tool is freely available and adjustable, making it widely applicable. In addition to potential applications in clinical practice, ESMvis can work as an exploratory tool that can lead to new hypotheses and inform more complex statistical techniques.

scholarly journals EFFECT OF MACROECONOMY, CAPITAL ADEQUACY RATIO, AND NON PERFORMING FINANCING ON RETURN ON ASSETS : Study Empirical at PT. Bank Syariah Mandiri

2021 ◽  
Vol 22 (1) ◽  
pp. 39-49
Author(s):  
Muhammad Nasir Nasir ◽  
Muhammad Yazid AR ◽  
Rusydi Rusydi Rusydi ◽  
Anggya Sophia Imannisa
Keyword(s):  
Time Series ◽  
Research Method ◽  
Sampling Method ◽  
Time Series Data ◽  
Quadratic Equation ◽  
Capital Adequacy ◽  
Series Data ◽  
Return On Assets ◽  
Future Performance ◽  
Capital Adequacy Ratio

The purpose of this study is to determine the influence of macroeconomic, CAR, and NPF variables against ROA at PT. Bank Syariah Mandiri in Indonesia. The data used in this study was Time Series data from 2008-2019. The sample in this study uses the saturated or census sampling method, where the entire population is sampled.The research method used in this study is a multiple regression with the smallest quadratic equation. The results showed that simultaneously inflation, GDP, price of gold, CAR and NPF had significant effect on ROA. In partial GDP, and NPF have negative and significant effect on ROA, while inflation, gold prices, and CAR have no significant effect on ROA. The fifth ability of the variable explains ROA by 67.6% while the remaining 32.4% is influenced or explained by other variables not included in the study. These results are expected to be beneficial to sharia banking, especially PT Bank Syariah Mandiri Syariah in order to better improve the future performance

scholarly journals Analysis of Cocoa Exchange Rates in Blitar Regency

2021 ◽  
Vol 04 (12) ◽  
Author(s):  
Pawana Nur Indah ◽  
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Random Sampling ◽  
Sampling Method ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Method ◽  
Purposive Sampling ◽  
Cocoa Farmers

Farmer's Exchange Rate (NTP) is a proxy indicator or indicator of the approach to the level of farmer welfare. The welfare of farmers can describe the purchasing power of farmers. The purpose of this study was to determine the level of welfare of cocoa farmers. This study used time series data from NTP with the base year of 2012 = 100 as the basis for calculating the years 2019 - 2020. The location of the study was determined by the purposive sampling method in The Blitar Regency which is the center of Cocoa. The sample was selected by purposive random sampling as many as 60 Cocoa Farmers. The NTP analysis method was carried out descriptively. The results showed that the exchange rate of Cocoa Farmers in 2020 increased by 1.20 percent from 100.54 in 2019 to 101.75 in 2019. This indicates that cocoa farmers in The Blitar district are experiencing a surplus or prosperity.

Emotional Variability Predicts Tiredness in Daily Life

2016 ◽  
Vol 37 (3) ◽  
pp. 181-193 ◽  
Author(s):  
Aire Mill ◽  
Anu Realo ◽  
Jüri Allik
Keyword(s):  
Sampling Method ◽  
Daily Life ◽  
Emotional Experience ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Building Blocks ◽  
Intraindividual Variability ◽  
Unique Role ◽  
Over Time

Abstract. Intraindividual variability, along with the more frequently studied between-person variability, has been argued to be one of the basic building blocks of emotional experience. The aim of the current study is to examine whether intraindividual variability in affect predicts tiredness in daily life. Intraindividual variability in affect was studied with the experience sampling method in a group of 110 participants (aged between 19 and 84 years) during 14 consecutive days on seven randomly determined occasions per day. The results suggest that affect variability is a stable construct over time and situations. Our findings also demonstrate that intraindividual variability in affect has a unique role in predicting increased levels of tiredness at the momentary level as well at the level of individuals.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Monitoring Daily Life Using Mobile Phones: The Experience Sampling Method

2006 ◽  
Author(s):  
Alessandra Preziosa ◽  
Marta Bassi ◽  
Daniela Villani ◽  
Andrea Gaggioli ◽  
Giuseppe Riva
Keyword(s):  
Mobile Phones ◽  
Sampling Method ◽  
Daily Life ◽  
Experience Sampling ◽  
Experience Sampling Method

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data
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