“Create in Me a Clean Heart”: The Role of Spirituality in Desistance From Substance Use

2019 ◽  
Vol 49 (2) ◽  
pp. 203-227 ◽  
Author(s):  
Beverly Reece Crank ◽  
Brent Teasdale
Keyword(s):  
Substance Use ◽  
Growth Curve ◽  
Growth Curve Modeling ◽  
Multilevel Analyses ◽  
Modeling Techniques ◽  
Curve Modeling ◽  
Pathways To Desistance ◽  
The Impact ◽  
Over Time

Although the impact of religion on behavior is robust and well-examined in many areas, the role spirituality plays in changes in drug use over time has received relatively little attention. Using a life-course theoretical framework, this relationship is examined through growth curve modeling techniques. Specifically, multilevel analyses are estimated testing within-person relationships between substance use desistance and spirituality. The Pathways to Desistance longitudinal data are analyzed and leading criminological predictors are included, to determine if spirituality has a unique impact on substance use net of these criminological factors, and if these impacts vary across gender. Results from these analyses suggest that the impact of spirituality on desistance varies by gender, with spirituality significantly increasing the odds of desistance from marijuana use for females, but not males.

Infant gaze following and pointing predict accelerated vocabulary growth through two years of age: a longitudinal, growth curve modeling study

2008 ◽  
Vol 35 (1) ◽  
pp. 207-220 ◽  
Author(s):  
RECHELE BROOKS ◽  
ANDREW N. MELTZOFF
Keyword(s):  
Social Cognition ◽  
Growth Curve ◽  
Maternal Education ◽  
Target Object ◽  
Growth Curve Modeling ◽  
Gaze Following ◽  
Experimental Setting ◽  
Vocabulary Growth ◽  
Curve Modeling

ABSTRACTWe found that infant gaze following and pointing predicts subsequent language development. At ages 0 ; 10 or 0 ; 11, infants saw an adult turn to look at an object in an experimental setting. Productive vocabulary was assessed longitudinally through two years of age. Growth curve modeling showed that infants who gaze followed and looked longer at the target object had significantly faster vocabulary growth than infants with shorter looks, even with maternal education controlled; adding infant pointing strengthened the model. We highlight the role of social cognition in word learning and emphasize the communicative-referential functions of early gaze following and pointing.

scholarly journals Medium Matters: A Decade of Media Consumption Predicts Positive and Negative Dimensions of Self-Perceptions of Aging

2020 ◽  
Author(s):  
Jordan Boeder ◽  
Dwight C K Tse ◽  
Veronica Fruiht ◽  
Thomas Chan
Keyword(s):  
Growth Curve ◽  
Growth Curve Modeling ◽  
Media Consumption ◽  
Cross Sectional ◽  
Continuous Growth ◽  
Physical Decline ◽  
Self Perceptions ◽  
Curve Modeling ◽  
Perceptions Of Aging ◽  
Over Time

Abstract Objective Media consumption over time is suggested to be a significant contributor to how people develop their self-perceptions of aging (SPA); however, this association has only been investigated with cross-sectional methodologies. The current study used growth curve modeling to examine the influence of 10 years of television, newspaper, radio, and book consumption on positive and negative dimensions of SPA. Method Growth curve modeling on four waves of data from the German Aging Survey (N =2,969), a population-based representative survey of adults aged 40 to 95, was used to examine the longitudinal associations between media consumption and SPA trajectories. Results Across ten years, more television intake (B= -0.58, 95% CI [-0.94, -0.21]) was associated with lower perceptions of continuous growth. Inversely, greater book (B= 0.10, 95% CI [0.06, 0.13]) and radio (B= 0.52, 95% CI [0.29, 0.74]) consumption was significantly linked to higher perceptions of continuous growth. In parallel, more television (B= 0.88, 95% CI [0.52, 1.25]) and newspaper consumption (B= 0.46, 95% CI [0.04, 0.88]) was associated with higher perceptions of physical decline, while greater radio (B= -0.40, 95% CI [-0.64, -0.16]) and book (B= -0.05, 95% CI [-0.09, -0.00]) consumption was associated with lower perceptions of physical decline. Discussion This study provides longitudinal evidence that the type of media consumed over time is linked to people’s SPA. Not all types of media intake are negative as radio and book consumption was associated with better SPA across time. Age group differences were investigated and are discussed in the supplemental materials.

scholarly journals Ignoring individual differences in times of assessment in growth curve modeling

2015 ◽  
Vol 40 (1) ◽  
pp. 76-86 ◽  
Author(s):  
Patrick Coulombe ◽  
James P. Selig ◽  
Harold D. Delaney
Keyword(s):  
Individual Differences ◽  
Growth Curve ◽  
Type I Error ◽  
Growth Curve Modeling ◽  
Type I ◽  
Residual Variance ◽  
Change Over Time ◽  
Time Points ◽  
Curve Modeling ◽  
Over Time

Researchers often collect longitudinal data to model change over time in a phenomenon of interest. Inevitably, there will be some variation across individuals in specific time intervals between assessments. In this simulation study of growth curve modeling, we investigate how ignoring individual differences in time points when modeling change over time relates to convergence and admissibility of solutions, bias in estimates of parameters, efficiency, power to detect change over time, and Type I error rate. We manipulated magnitude of the individual differences in assessment times, distribution of assessment times, magnitude of change over time, number of time points, and sample size. In contrast to the correct analysis, ignoring individual differences in time points frequently led to inadmissible solutions, especially with few time points and small samples, regardless of the specific magnitude of individual differences that were ignored. Mean intercept and slope were generally estimated without bias. Ignoring individual differences in time points sometimes yielded overestimated intercept and slope variances and underestimated intercept–slope covariance and residual variance. Parameter efficiency as well as power and Type I error rates for the linear slope were unaffected by the type of analysis.

scholarly journals How Team Emotions Impact Individual Employee Strain Before, During, and After a Stressful Event: A Latent Growth Curve Modeling Approach

2021 ◽  
pp. 193896552110226
Author(s):  
Shi (Tracy) Xu ◽  
Larry R. Martinez ◽  
Hubert Van Hoof
Keyword(s):  
Growth Curve ◽  
Daily Basis ◽  
Growth Curve Modeling ◽  
Stressful Events ◽  
Latent Growth Curve Modeling ◽  
Latent Growth Curve ◽  
Stressful Event ◽  
Latent Growth ◽  
Curve Modeling ◽  
The Impact

Employee strain is a significant and costly issue for hospitality organizations. This study investigated the change trajectory of strain pre, during, and post a discrete stressful event and how cohesion and group emotional variability altered the shape of the trajectory. Using an experience sampling method approach, we gathered 402 daily observations from 84 workers in a period that included a specific stressful event, the opening of a one-night “theme dinner” restaurant that catered to dinner guests from the general public. We used latent growth curve modeling to investigate the change of strain among employees over time. The results showed that indicators of strain displayed inverted U-shaped trajectories (i.e., strain increased before and decreased after the stressful event) and that group cohesion and emotional variability affected the starting value and the change trajectory of strain. By investigating strain on a daily basis and considering group-based influences in response to discrete stressful events, this study provides significant implications to the hospitality literature and suggestions to hospitality managers on how to alleviate the impact of strain among their workforces.

Using Language Sampling to Measure Language Growth

2010 ◽  
Vol 17 (1) ◽  
pp. 24-31 ◽  
Author(s):  
Raúl Rojas ◽  
Aquiles Iglesias
Keyword(s):  
English Language Learners ◽  
Language Learners ◽  
Growth Curve ◽  
English Language ◽  
Growth Curve Modeling ◽  
Typical Development ◽  
Language Sampling ◽  
Curve Modeling ◽  
Language Growth ◽  
Over Time

Abstract This article illustrates how speech-language pathologists (SLPs) can use language sampling and growth curve modeling (GCM) to examine the language growth rates of English Language Learners. GCM data on language samples provides SLPs with powerful, new tools to evaluate actual progress over time instead of relying on single, static measurement endpoints to determine typical development.

scholarly journals The application of growth curve modeling for the analysis of diachronic corpora

2017 ◽  
Vol 7 (1) ◽  
pp. 102-125 ◽  
Author(s):  
Andrea Nini ◽  
Carlo Corradini ◽  
Diansheng Guo ◽  
Jack Grieve
Keyword(s):  
Growth Curve ◽  
Corpus Linguistics ◽  
Language Change ◽  
Growth Curve Modeling ◽  
Curve Modeling ◽  
S Curve ◽  
Over Time

This paper introduces growth curve modeling for the analysis of language change in corpus linguistics. In addition to describing growth curve modeling, which is a regression-based method for studying the dynamics of a set of variables measured over time, we demonstrate the technique through an analysis of the relative frequencies of words that are increasing or decreasing over time in a multi-billion word diachronic corpus of Twitter. This analysis finds that increasing words tend to follow a trajectory similar to the s-curve of language change, whereas decreasing words tend to follow a decelerated trajectory, thereby showing how growth curve modeling can be used to uncover and describe underlying patterns of language change in diachronic corpora.

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