Yield stability in clones of Coffea canephora in the short and medium term: longitudinal data analyses and measures of stability over time

Background Research examining the associations between movement behaviours and mental health indicators within a compositional framework are sparse and limited by their cross-sectional study design. This study has three objectives. First, to describe the change in movement behaviour composition over time. Second, to explore the association between change in movement behaviour composition and change in depressive symptoms. Third, to explore how reallocations of time between movement behaviours are associated with changes in depressive symptoms. Methods Longitudinal data of 14,620 students in grades 9–12 (mean age: 14.9 years) attending secondary schools in Canada (Ontario, British Columbia, Alberta, Quebec) were obtained from two waves (2017/18, 2018/19) of the COMPASS study. Moderate-to-vigorous physical activity (MVPA), recreational screen time, and sleep duration were self-reported. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (Revised)−10 (CESD-R-10). Compositional data analyses using pivot coordinates and compositional isotemporal substitution for longitudinal data were used to analyse the data. Analyses accounted for school clustering, were stratified by gender and age (< or ≥ 15 years), and were adjusted for race/ethnicity, body mass index z-score, baseline movement behaviour composition, and baseline depressive symptoms. Results There were significant differences in movement behaviour composition over time across all subgroups. For example, the relative contributions of MVPA and sleep duration to the movement behaviour composition decreased over time while screen time increased among younger boys and girls and older girls. Increasing sleep duration relative to the remaining behaviours (i.e. screen time and MVPA) was associated with lower depressive symptoms among all subgroups. Increasing screen time relative to the remaining behaviours (i.e. MVPA and sleep duration) was associated with higher depressive symptoms among all subgroups. Increasing MVPA relative to the remaining behaviours (i.e. screen time and sleep duration) was associated with lower depressive symptoms in older girls only. Isotemporal substitution estimates indicated that decreasing screen time by 60 minutes/day and replacing that time with 60 minutes of additional sleep is associated with the largest change in depressive symptoms across all subgroups. Conclusions Findings from this prospective analysis suggest that increased sleep duration and reduced screen time are important determinants of lower depressive symptoms among adolescents.

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Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

The Scientific World JOURNAL ◽

10.1100/tsw.2011.2 ◽

2011 ◽

Vol 11 ◽

pp. 42-76 ◽

Cited By ~ 201

Author(s):

Daniel T. L. Shek ◽

Cecilia M. S. Ma

Keyword(s):

Longitudinal Data ◽

Generalized Linear Models ◽

Mixed Models ◽

Linear Models ◽

Linear Mixed Models ◽

Hierarchical Linear Models ◽

Data Analyses ◽

Basic Concepts ◽

User Friendly ◽

Over Time

Although different methods are available for the analyses of longitudinal data, analyses based on generalized linear models (GLM) are criticized as violating the assumption of independence of observations. Alternatively, linear mixed models (LMM) are commonly used to understand changes in human behavior over time. In this paper, the basic concepts surrounding LMM (or hierarchical linear models) are outlined. Although SPSS is a statistical analyses package commonly used by researchers, documentation on LMM procedures in SPSS is not thorough or user friendly. With reference to this limitation, the related procedures for performing analyses based on LMM in SPSS are described. To demonstrate the application of LMM analyses in SPSS, findings based on six waves of data collected in the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong are presented.

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Variation in yield over time in a cacao factorial mating design: changes in heritability and longitudinal data analyses over 13 consecutive years

Euphytica ◽

10.1007/s10681-019-2429-y ◽

2019 ◽

Vol 215 (6) ◽

Cited By ~ 5

Author(s):

Mathias Tahi ◽

Caudou Trebissou ◽

Fabienne Ribeyre ◽

Boguinard Sahin Guiraud ◽

Désiré N’ da Pokou ◽

...

Keyword(s):

Longitudinal Data ◽

Mating Design ◽

Data Analyses ◽

Design Changes ◽

Factorial Mating ◽

Over Time ◽

Factorial Mating Design

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Coping with longitudinal data in research on developmental psychopathology

International Journal of Behavioral Development ◽

10.1177/0165025406059969 ◽

2006 ◽

Vol 30 (1) ◽

pp. 20-25 ◽

Cited By ~ 35

Author(s):

David A. Cole

Keyword(s):

Data Collection ◽

Longitudinal Data ◽

Developmental Psychopathology ◽

Careful Consideration ◽

Two Dimensions ◽

The Other ◽

Outcome Variable ◽

The Third ◽

Data Analytic ◽

Over Time

Many outcome variables in developmental psychopathology research are highly stable over time. In conventional longitudinal data analytic approaches such as multiple regression, controlling for prior levels of the outcome variable often yields little (if any) reliable variance in the dependent variable for putative predictors to explain. Three strategies for coping with this problem are described. One involves focusing on developmental periods of transition, in which the outcome of interest may be less stable. A second is to give careful consideration to the amount of time allowed to elapse between waves of data collection. The third is to consider trait-state-occasion models that partition the outcome variable into two dimensions: one entirely stable and trait-like, the other less stable and subject to occasion-specific fluctuations.

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The Impact of B Corp Certification on Growth

Sustainability ◽

10.3390/su13137191 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7191

Author(s):

Valerie Paelman ◽

Philippe Van Cauwenberge ◽

Heidi Vander Bauwhede

Keyword(s):

Regression Analysis ◽

Propensity Score ◽

Panel Regression ◽

Medium Term ◽

Difference In Differences ◽

Dual Purpose ◽

Full Effect ◽

The Impact ◽

Positive Effect ◽

Over Time

We empirically test whether B Corp certification affects the short- and medium-term growth rates of sustainable enterprises. These businesses are growing in popularity and prevalence but, due to their hybrid nature, often suffer from external credibility issues and competing internal logics. Because of the rigorous and time-involving audit procedure, B Corp certification potentially sends a credible signal about the sustainable nature of the enterprise to its stakeholders. In addition, the B Corp label could help to straighten out internal tensions and align the company towards its dual purpose. Hence, B Corp certification could contribute to company success. We observe 129 firms that were certified between 2013 and 2018 over a period between six years prior and five years post-certification. Using propensity score matching, we identify 129 non-certified matching companies. On this sample, we conduct a difference-in-differences panel regression analysis to investigate the effect of certification. Our dataset allows us to study how the effects of B Corp certification evolve over time, which was previously untested. Our study documents a positive effect of B Corp certification on turnover growth and also that this effect increases with the time since certification, implying that certification requires some time for its full effect to become apparent.

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Neighborhood Firearm Victimization Rates and Social Capital Over Time

Violence and Victims ◽

10.1891/0886-6708.vv-d-13-00092 ◽

2015 ◽

Vol 30 (1) ◽

pp. 81-96 ◽

Cited By ~ 3

Author(s):

Justin C. Medina

Keyword(s):

Social Capital ◽

Longitudinal Data ◽

Theoretical Framework ◽

Policy Planning ◽

Regression Analyses ◽

Neighborhood Social Capital ◽

The Relationship ◽

The U.S ◽

Over Time ◽

Victimization Rates

Distribution of firearm victimization is not equal within cities. Victimization can persistently concentrate in a small number of neighborhoods, while others experience very little violence. Theorists have pointed to one possible explanation as the ability of groups to control violence using social capital. Researchers have shown this association at the U.S. county, state, and national levels. Few studies, however, have examined the relationship between neighborhood social capital and violence over time. This study uses longitudinal data to ask whether neighborhood social capital both predicts and is influenced by firearm victimization over 3 years in Philadelphia. The results of several regression analyses suggest that trusting others and firearm victimization are inversely related over time. Implications for neighborhood policy planning and social capital as a theoretical framework are discussed.

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In the eye of the recipient

Scientific Study of Literature ◽

10.1075/ssol.4.2.05rie ◽

2014 ◽

Vol 4 (2) ◽

pp. 211-232 ◽

Cited By ~ 3

Author(s):

Katrin Riese ◽

Mareike Bayer ◽

Gerhard Lauer ◽

Annekathrin Schacht

Keyword(s):

Pupil Diameter ◽

Methodological Approach ◽

Narrative Fiction ◽

Data Analyses ◽

Different Dimensions ◽

Literary Classics ◽

The 19Th Century ◽

Physiological Indicator ◽

Over Time ◽

Cognitive Dimensions

Plot suspense is one of the most important components of narrative fiction that motivate recipients to follow fictional characters through their worlds. The present study investigates the dynamic development of narrative suspense in excerpts of literary classics from the 19th century in a multi-methodological approach. For two texts, differing in suspense as judged by a large independent sample, we collected (a) data from questionnaires, indicating different affective and cognitive dimensions of receptive engagement, (b) continuous ratings of suspense during text reception from both experts and lay recipients, and (c) registration of pupil diameter as a physiological indicator of changes in emotional arousal and attention during reception. Data analyses confirmed differences between the two texts at different dimensions of receptive engagement and, importantly, revealed significant correlations of pupil diameter and the course of suspense over time. Our findings demonstrate that changes of the pupil diameter provide a reliable ‘online’ indicator of suspense.

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Differential Aging: An Exploratory Approach Using Cluster Analysis

The International Journal of Aging and Human Development ◽

10.2190/jpmy-mk3l-7e4a-418k ◽

1984 ◽

Vol 18 (2) ◽

pp. 141-157 ◽

Cited By ~ 3

Author(s):

Graeme Ford ◽

Rex Taylor

Keyword(s):

Cluster Analysis ◽

Longitudinal Data ◽

Random Sample ◽

Successful Aging ◽

Elderly Population ◽

Structural Data ◽

Exploratory Approach ◽

Aging Well ◽

Well Elderly ◽

Over Time

This article uses cluster analysis to identify different patterns of personal resources within a random sample of the well, elderly population. Ten such patterns or natural groupings are identified and their implications for coping and successful aging are discussed. It is apparent that there are a number of ways both of aging well and aging badly, and that these patterns cannot be predicted solely on the basis of structural data. The article poses a number of questions on the performance of cluster members over time and draws attention to the importance of longitudinal data.

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Bowing before Dual Gods: How Structured Flexibility Sustains Organizational Hybridity

Administrative Science Quarterly ◽

10.1177/0001839217750826 ◽

2017 ◽

Vol 64 (1) ◽

pp. 1-44 ◽

Cited By ~ 80

Author(s):

Wendy K. Smith ◽

Marya L. Besharov

Keyword(s):

Longitudinal Data ◽

Digital Divide ◽

Social Enterprise ◽

Stakeholder Relationships ◽

Core Elements ◽

Organizational Features ◽

Two Sides ◽

Adaptive Approaches ◽

Over Time

Organizations increasingly grapple with hybridity—the combination of identities, forms, logics, or other core elements that would conventionally not go together. Drawing on in-depth longitudinal data from the first ten years of a successful social enterprise—Digital Divide Data, founded in Cambodia—we induce an empirically grounded model of sustaining hybridity over time through structured flexibility: the interaction of stable organizational features and adaptive enactment processes. We identify two stable features—paradoxical frames, involving leaders’ cognitive understandings of the two sides of a hybrid as both contradictory and interdependent, and guardrails, consisting of formal structures, leadership expertise, and stakeholder relationships associated with each side—that together facilitate ongoing adaptation in the meanings and practices of dual elements, sustaining both elements over time. Our structured flexibility model reorients research away from focusing on either stable or adaptive approaches to sustaining hybridity toward understanding their interaction, with implications for scholarship on hybridity, duality, and adaptation more broadly.

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Transition to work, mismatch and underemployment among graduates: an Australian longitudinal study

International Journal of Manpower ◽

10.1108/ijm-03-2021-0195 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Denise Jackson ◽

Ian Li

Keyword(s):

Learning Strategies ◽

Personal Characteristics ◽

Full Time ◽

Graduate Level ◽

Medium Term ◽

Related Factors ◽

Data Set ◽

Content Type ◽

Determining Factors ◽

Over Time

PurposeThere are ongoing concerns regarding university degree credentials leading to graduate-level employment. Tracking graduate underemployment is complicated by inconsistent measures and tendencies to report on outcomes soon after graduation. Our study explored transition into graduate-level work beyond the short-term, examining how determining factors change over time.Design/methodology/approachWe considered time-based underemployment (graduates are working less hours than desired) and overqualification (skills in employment not matching education level/type) perspectives. We used a national data set for 41,671 graduates of Australian universities in 2016 and 2017, surveyed at four months and three years' post-graduation, to explore determining factors in the short and medium-term. Descriptive statistical techniques and binary logistic regression were used to address our research aims.FindingsGraduates' medium-term employment states were generally positive with reduced unemployment and increased full-time job attainment. Importantly, most graduates that were initially underemployed transited to full-time work at three years post-graduation. However, around one-fifth of graduates were overqualified in the medium-term. While there was some evidence of the initially qualified transitioning to matched employment, supporting career mobility theory, over one-third remaining overqualified. Skills, personal characteristics and degree-related factors each influenced initial overqualification, while discipline was more important in the medium-term.Originality/valueOur study explores both time-based underemployment and overqualification, and over time, builds on earlier work. Given the longer-term, negative effects of mismatch on graduates' career and wellbeing, findings highlight the need for career learning strategies to manage underemployment and consideration of future labour market policy for tertiary graduates.

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