Using Sequence Analysis to Identify Conversational Motifs in Supportive Interactions

2022 ◽  
pp. 026540752110666
Author(s):  
Denise Haunani Solomon ◽  
Susanne Jones ◽  
Miriam Brinberg ◽  
Graham D. Bodie ◽  
Nilam Ram
Keyword(s):  
Sequence Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Partial Replication ◽  
Categorical Time Series ◽  
Problem Description ◽  
Interaction Stress ◽  
Patterns Of Interaction ◽  
Tests Of Hypotheses

This study demonstrates how sequence analysis, which is a method for identifying common patterns in categorical time series data, illuminates the nonlinear dynamics of dyadic conversations by describing chains of behavior that shift categorically, rather than incrementally. When applied to interpersonal interactions, sequence analysis supports the identification of conversational motifs, which can be used to test hypotheses linking patterns of interaction to conversational antecedents or outcomes. As an illustrative example, this study evaluated 285 conversations involving stranger, friend, and dating dyads in which one partner, the discloser, communicated about a source of stress to a partner in the role of listener. Using sequence analysis, we identified three five-turn supportive conversational motifs that had also emerged in a previous study of stranger dyads: discloser problem description, discloser problem processing, and listener-focused dialogue. We also observed a new, fourth motif: listener-focused, discloser questioning. Tests of hypotheses linking the prevalence and timing of particular motifs to the problem discloser’s emotional improvement and perceptions of support quality, as moderated by the discloser’s pre-interaction stress, offered a partial replication of previous findings. The discussion highlights the value of using sequence analysis to illuminate dynamic patterns in dyadic interactions.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals Deposit Money Banks and Economic Growth in Nigeria

2014 ◽  
Vol 5 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Samson Ogege ◽  
Tarila Boloupremo
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Banking System ◽  
Least Square ◽  
Series Data ◽  
Credit Allocation ◽  
Least Square Estimator ◽  
Ordinary Least Square ◽  
Residual Series

This paper examines the effect of deposit money banks intermediation role on economic growth and development in Nigeria. The main objective of the research was to ascertain the extent to which sectorial credit allocation by deposit money banks have influenced growth in the economy. Time series data covering the period 1973-2011 for deposits money banks credits in Nigeria and per capita gross domestic product were analyzed within the framework of Engle-Granger Representation Theorem; the approach estimated a co-integrating regression using the ordinary least square estimator, and then investigated the presence of a co-integration relation by examining the stationarity of the estimated residual series. The findings indicate that credit allocation to the production sector is significantly promoting economic activity. The implication that can be drawn from this study is that to ensure that the banking system performs its role of credit allocation effectively it must channel funds into productive investment and more productive uses; deposit money banks should act as efficient financial intermediaries devoted to allocating resources to the most productive uses.

scholarly journals Growth Governance Nexus: A Case of Pakistan

2013 ◽  
Vol 5 (8) ◽  
pp. 562-572
Author(s):  
Rabia Nazir ◽  
Mumtaz Anwar .
Keyword(s):  
Time Series Data ◽  
Good Governance ◽  
Developing Economies ◽  
Series Data ◽  
Gdp Growth ◽  
Development Agenda ◽  
Tremendous Importance ◽  
Free Media ◽  
Political Economic

Good governance has gained tremendous importance in the development agenda of developing economies since 1990s but growth literature gives mixed picture about the role of governance and institutional factors in explaining GDP growth. The present study is an attempt to provide empirical evidence on interlinks between governance and GDP growth. ADF and Johansen co-integration tests are applied for econometric testing of the hypothesis by using time series data from 1984 to 2010. All the variables turned out to be significant with ICRG (proxy used for governance) having positive and significant impact on GDP growth of Pakistan. Results of the study have shown that governance plays major role in determining GDP growth pattern of Pakistan. A complete reform of the political, economic system, judiciary, bureaucracy and a free media are recommended to improve governance and to achieve sustained GDP growth in Pakistan consequently.

scholarly journals The Role of Coffee Plantation in the Kerinci Regency Regional’s Economy

2020 ◽  
Vol 14 (3) ◽  
pp. 499
Author(s):  
Suandi Suandi ◽  
Dompak Napitupulu ◽  
Endy Effran
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Coffee Plantation ◽  
Coffee Plantations ◽  
Positive Ratio ◽  
Main Indicator ◽  
Main Driver

The main indicator in economy development was the role and contribution of each sector and or sub-sector to economic growth. One of the sub-sectors that had a major role and contribution in economy development was coffee plantations. To determine the role of coffee plantations on the community’s economy in Kerinci Regency, Jambi Province, therefore the research aims were (1) to determine the role of coffee plantations on income and employment, (2) to determine the contribution of coffee plantations to income and employment, and (3) to determine the ratio of coffee plantation growth to income and employment. The research was conducted in Kerinci Regency in 2015 with 6 months research period. The research data were sourced from secondary data, which was time series data from 2005-2013. Data were analyzed using the Location Qoutient (LQ) approach, and Shift-share. The results showed that coffee plantations in Kerinci Regency were the base sector. The analysis results obtained that coffee plantations played a role as the main driver of the Kerinci Regency’s economy because it had a high income and employment. During the period of nine years 2005-2013, economic growth, income and employment of coffee plantation in Kerinci Regency showed a positive ratio value though it was fluctuated.

scholarly journals PENGARUH KUNJUNGAN WISATAWAN DAN RATA-RATA PENGELUARAN WISATAWAN TERHADAP PAD DAN PERTUMBUHAN EKONOMI PROVINSI BALI

2021 ◽  
pp. 511
Author(s):  
I Gede Dea Joendra Septyana Putra ◽  
Ni Luh Karmini ◽  
I Wayan Wenagama
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Data Sources ◽  
Series Data ◽  
Local Revenue ◽  
Analysis Technique ◽  
Secondary Data Sources

This study aims to analyze the effect of the number of tourist visits and the average tourist expenditure on the local income of Bali Province, to analyze the effect of the number of tourist visits, average tourist expenditure, and local income on the economic growth of Bali Province, and to analyze the role of income. native areas in mediating the effect of the number of tourist visits and the average tourist expenditure on the economic growth of Bali Province. The data used in this research is secondary data, with the method of observation by observing documents or secondary data sources that are related. This study uses time series data with a total of 30 years of observations from 1990-2019, with the analysis technique used is Path Analysis. This study shows the results that the number of tourist visits and the average tourist expenditure have a positive and significant effect on local income in Bali Province. The number of tourist visits, the average tourist expenditure and local revenue have a positive and significant effect on economic growth in Bali Province. Own-source revenue mediates the effect of the number of tourist visits and the average tourist expenditure on economic growth in Bali Province.

scholarly journals Peran Non Performing Financing terhadap Profitabilitas Bank Pembiayaan Rakyat Syariah dengan Inflasi sebagai Variabel Moderasi

2020 ◽  
Vol 4 (1) ◽  
pp. 111
Author(s):  
Muhammad - Zulkarnain ◽  
Heliyani Heliyani
Keyword(s):  
Cross Section ◽  
Financial Services ◽  
Time Series Data ◽  
Regression Method ◽  
Series Data ◽  
Pooled Data ◽  
Analysis Technique ◽  
West Sumatra ◽  
Negative Effect

<p><em>The research aims to examine the role of Non-Performing Financing (NPF) on the profitability of financing in Sharia Banks with inflation as a moderation variable. The population of this research is Islamic Rural Banks in West Sumatra Indonesia, which was registered in the Financial Services Authority (OJK) in the 2015-2018 period. Samples of research were taken purposively as many as seven units of Islamic Rural Banks which were spread in West Sumatra Indonesia. The data analysis technique used is a regression method with panel data (pooled data) which is a combination of cross section and time series data using Software Eviews8. The results of the analysis showed that Non-Performing Financing (NPF) has a negative effect on profitability, which is proxied by ROA. Furthermore, this research proves that the inflation does not moderate or weaken the influence of the NPF on the profitability of Islamic Rural Banks. This research contributes in expanding the direct relationship between NPF and profitability which in previous research was not elaborated further.</em><em></em></p>

scholarly journals The Role of Cooperatives, Remittances, and Infrastructure in Export Performance of Nepal: ARDL Approach of Cointegration

2020 ◽  
pp. 151-159
Author(s):  
Ramesh C. Paudel ◽  
Chakrapani Acharya ◽  
Resham Thapa-Parajuli
Keyword(s):  
Time Series Data ◽  
Export Performance ◽  
Series Data ◽  
Supply Side ◽  
Policy Makers ◽  
Ardl Approach ◽  
Negative Role ◽  
Supply Side Factors

Cooperatives, remittances, and foreign direct investment (FDI) are crucial source of funds required for better entrepreneurships, which combinedly along with the quality of infrastructure can contribute to enhance the supply side factors of the export performance. Due to the well perceived role of cooperatives, Nepal’s constitution 2015 mentions this sector as one of the three pillars of the national economy while around 30 percent of Nepal’s GDP comes from remittances. As the country lacks the domestic sources for investment, FDI has become an indispensable part of the development sources of the developing countries in the recent decades. This paper analyzes the role of cooperatives, remittances, FDI and infrastructure in export performance of Nepal using the Autoregressive Distributive Lag (ARDL) approach of cointegration as suggested by the properties of the time series data for the period of 26 years from 1993 to 2018. The major finding shows that the cooperatives have not contributed to export performance as expected, however the role is positive. The remittances have a strong negative role on export performance, which is largely impacted by the number and quality of the infrastructure. The role of FDI is also negative and might be due to insufficient volume to contribute substantially. This fact seeks the urgent attention from the policy makers to make the country more investment friendly.

scholarly journals Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience

2017 ◽  
Author(s):  
L Paninski ◽  
J.P Cunningham
Keyword(s):  
Science Fiction ◽  
Large Scale ◽  
Data Science ◽  
Time Series Data ◽  
Series Data ◽  
Multielectrode Arrays ◽  
Analysis Theory ◽  
Broad Array ◽  
Scientific Questions

AbstractModern large - scale multineuronal recording methodologies, including multielectrode arrays, calcium imaging, and optogenetic techniques, produce single - neuron resolution data of a magnitude and precision that were the realm of science fiction twenty years ago. The major bottlenecks in systems and circuit neuroscience no longer lie in simply collecting data from large neural populations, but also in understanding this data: developing novel scientific questions, with corresponding analysis techniques and experimental designs to fully harness these new capabilities and meaningfully interrogate these questions. Advances in methods for signal processing, network analysis, dimensionality reduction, and optimal control – developed in lockstep with advances in experimental neurotechnology - - promise major breakthroughs in multiple fundamental neuroscience problems. These trends are clear in a broad array of subfields of modern neuroscience; this review focuses on recent advances in methods for analyzing neural time - series data with single - neuronal precision. Figure 1.The central role of data science in modern large - scale neuroscience.Topics reviewed herein are indicated in black.

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