Comparative Time Series Analysis of Perceptual Responses to Electroacoustic Music

this study investigates the relationship between acoustic patterns in contemporary electroacoustic compositions, and listeners' real-time perceptions of their structure and affective content. Thirty-two participants varying in musical expertise (nonmusicians, classical musicians, expert computer musicians) continuously rated the affect (arousal and valence) and structure (change in sound) they perceived in four compositions of approximately three minutes duration. Time series analyses tested the hypotheses that sound intensity influences listener perceptions of structure and arousal, and spectral flatness influences perceptions of structure and valence. Results suggest that intensity strongly influences perceived change in sound, and to a lesser extent listener perceptions of arousal. Spectral flatness measures were only weakly related to listener perceptions, and valence was not strongly shaped by either acoustic measure. Differences in response by composition and musical expertise suggest that, particularly with respect to the perception of valence, individual experience (familiarity and liking), and meaningful sound associations mediate perception.

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The Correlates of Negative Affect in Marriage

Journal of Family Issues ◽

10.1177/019251387008001006 ◽

1987 ◽

Vol 8 (1) ◽

pp. 111-135 ◽

Cited By ~ 13

Author(s):

LOWELL J. KROKOFF

Keyword(s):

Time Series ◽

Problem Solving ◽

Negative Affect ◽

Scoring System ◽

Cognitive Styles ◽

Voice Tone ◽

Time Series Analyses ◽

The Relationship ◽

Different Levels ◽

Bivariate Time Series

The present study assessed the interaction and cognitive styles that were associated with different levels of negative affect for husbands and wives. Without an observer present, 28 couples audiotaped problem-solving discussions in the home. Each spouse also filled out questionnaires measuring the extent to which they viewed their relationship as a resource for helping them with problems. The audiotapes were coded using the Couple's Interaction Scoring System (CISS) and then subjected to a series of proportional, sequential, and bivariate time-series analyses dyad by dyad. The results indicated that wives' negative affect was directly related to their attempts to confront the problem and enforce their own views (e.g., metacommunication, counterproposals, appeals), and was inversely related to their attempts to be conciliatory (e.g., agreement, mind reading with neutral voice tone). Husbands' negative affect was inversely related to both spouses' attempts to be conciliatory (agreement, proposals, contracting), and to the wives' viewing the relationship as a resource for helping them with their problems.

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Sunshine, rainfall, humidity and child pneumonia in the tropics: time-series analyses

Epidemiology and Infection ◽

10.1017/s0950268812001379 ◽

2012 ◽

Vol 141 (6) ◽

pp. 1328-1336 ◽

Cited By ~ 22

Author(s):

S. PAYNTER ◽

P. WEINSTEIN ◽

R. S. WARE ◽

M. G. LUCERO ◽

V. TALLO ◽

...

Keyword(s):

Time Series ◽

The Philippines ◽

Distributed Lag ◽

Case Crossover ◽

Child Pneumonia ◽

Crossover Analysis ◽

Daily Sunshine ◽

Time Series Analyses ◽

The Tropics ◽

The Relationship

SUMMARYFew studies have formally examined the relationship between meteorological factors and the incidence of child pneumonia in the tropics, despite the fact that most child pneumonia deaths occur there. We examined the association between four meteorological exposures (rainy days, sunshine, relative humidity, temperature) and the incidence of clinical pneumonia in young children in the Philippines using three time-series methods: correlation of seasonal patterns, distributed lag regression, and case-crossover. Lack of sunshine was most strongly associated with pneumonia in both lagged regression [overall relative risk over the following 60 days for a 1-h increase in sunshine per day was 0·67 (95% confidence interval (CI) 0·51–0·87)] and case-crossover analysis [odds ratio for a 1-h increase in mean daily sunshine 8–14 days earlier was 0·95 (95% CI 0·91–1·00)]. This association is well known in temperate settings but has not been noted previously in the tropics. Further research to assess causality is needed.

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When left or right do not matter: Ideology and spending in Central and Eastern Europe

Research & Politics ◽

10.1177/2053168018817391 ◽

2019 ◽

Vol 6 (1) ◽

pp. 205316801881739

Author(s):

Emanuel Emil Coman

Keyword(s):

Time Series ◽

Eastern Europe ◽

Central And Eastern Europe ◽

Time Series Analyses ◽

The Relationship

I reassess the argument by Tavits and Letki (2009) that in Eastern Europe in the 1990s and 2000s left-leaning governments were less likely to spend than right-leaning governments. I argue that the findings are most likely driven by time bias in their manifesto-based measurement of ideology. Starting in the mid-nineties, governments became artificially leftist, thus, the robustness of the relationship proposed by Tavits and Letki may be questioned. When adjusted for time bias, ideology does not influence spending in Eastern Europe. These findings have important consequences on the established literature linking ideology and spending. The findings also suggest that although manifesto-based measures of ideology have become widely used in time-series analyses, ideology scores at different times may not be comparable without adjustments.

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The Impact of Aggregate Level Alcohol Consumption on Homicide Rates: A Time Series Analysis

International Journal of Offender Therapy and Comparative Criminology ◽

10.1177/0306624x211028774 ◽

2021 ◽

pp. 0306624X2110287

Author(s):

TK Vinod Kumar

Keyword(s):

Time Series ◽

Alcohol Consumption ◽

Moving Average ◽

Policy Implications ◽

Autoregressive Moving Average ◽

Aggregate Level ◽

Homicide Rates ◽

Time Series Analyses ◽

The Impact ◽

The Relationship

Consumption of alcohol has an impact on violent crimes and homicides. The study examines the association between aggregate level consumption of spirit and homicide rates in the State of Kerala in India. Time-series analyses were conducted by building Autoregressive Moving Average with Exogenous Variables (ARMAX) models and OLS Regression models to explain the relationship between the monthly rate of consumption of alcoholic spirits and homicide rates. The study concludes that consumption of alcoholic spirits has a statistically significant impact on the total homicide rates and the male and female homicide rates. The study has significant policy implications being one of the first studies examining the relationship between alcohol consumption and homicide rates in India and suggesting methods to address challenges of adverse public health consequences associated with alcohol consumption.

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A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality

10.7287/peerj.preprints.1904v1 ◽

2016 ◽

Author(s):

Yu Fan Zeng ◽

Adree Khondker

Keyword(s):

Time Series ◽

Time Series Analysis ◽

The United States ◽

Dose Response Relationship ◽

Current Time ◽

Predictive Regression ◽

The Past ◽

Series Analysis ◽

Time Series Analyses ◽

The Relationship

The relationship between air pollution and public health has gained increasing attention in the past decade. Many time-series analyses have been conducted worldwide, including in all the major cities of the United States, Europe, and Asia. However, the most current time-series analysis study of Ontario, Canada dates back to 2012 and includes only a single city, calling the need of a more recent study at a provincial scale. As a result, we propose to conduct time-series analyses of major Ontario cities and then use a hierarchical model to pool the results and construct a dose-response relationship and generate a predictive regression.

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