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The purpose of the paper is the analysis of the evolution of students’ satisfaction over time in a large Italian university and the effects on it because of some characteristics of the teachers: didactic practices, beliefs and needs with regard to teaching and learning.

The first step of the analysis identifies a latent construct, measured with items composing the questionnaire, and proposes a reduced set of indicators to measure satisfaction and to model its evolution over time (information collected in three consecutive academic years is available). A second step clusters teachers in homogenous groups with reference to their opinions, beliefs and needs, collected with a new survey conducted at the University of Padova, with the aim of developing strategies to support academic teachers. Then, a mixture conditional latent growth model is estimated with covariates affecting the latent parameters and class membership.

Model estimation identifies a large group of university courses with a high level of satisfaction, which stays constant over time, and a small group of problematic courses with low satisfaction, moreover, that decreases over the three considered academic years. Interesting significant effects of covariates related to both the teacher and the didactic activity are estimated.

Statistical analyses show that the implementation of innovative didactic practices and commitment to quality of teaching are important factors to be encouraged by the university management. On the contrary, the traditionalist way of teaching and a low passion for teaching do not improve students’ satisfaction.

The purpose of this paper is to investigate the developmental trajectory and patterns of physical aggression and relational aggression over time, and also to examine the gender differences of the three-year developmental process as well as the impact of the developmental trajectory on mental health.

Participants: the participants of this study were newly enrolled junior school students. The study spanned three years with continuous tracking performed once every other year. Measures: class play questionnaire. Aggressive behaviors were measured by an adaptive Chinese version of the revised class play assessment. Statistical analysis: to address the questions of the present study, the latent class growth model (LCGM) was used to analyze the three-year longitudinal data by Mplus 6.1.

The initial level of physical aggression in boys was higher than that in girls. There were three types of developmental trajectory for boys, corresponding to a lower initial level-increasing group, a middle initial level-increasing group and a higher initial level-stable group. However, girls demonstrated different patterns, corresponding to a lower initial level-increasing group, a middle initial level-increasing group and a higher initial level-decreasing group. In contrast to the physical aggression, the initial level of relational aggression in boys was lower than that in girls. There were four types of developmental trajectory for boys, corresponding to a lower initial level-increasing group, a middle initial level-increasing group, a middle initial level-declining group and a higher initial level-declining group. Girls illustrated different patterns, corresponding to a lower initial level-stable group, a middle initial level-increasing group and a higher initial level-declining group. Different developmental trajectory of physical and relational aggression would influence the interpersonal relationship.

This paper used a person-centered latent variable approach instead of the variable-centered approach to investigate the developmental trajectory and patterns of physical aggression and relational aggression over three year by employing the LCGM. The initial level of physical aggression in boys was higher than that in girls. In contrast, the initial level of relational aggression in boys was lower than that in girls. There were gender differences in the pattern of physical and relational aggression development trajectory. Different developmental trajectory of physical and relational aggression would influence the interpersonal relationship.

This article aims to describe patterns of change in innovation networks and to clarify the roles of time and history in shaping network trajectories. The authors test seven predictor variables and their interactions to examine their influences on network performance over time.

A fuzzy simulation of innovation networks and investigations of different network types, using two classes of growth modeling techniques, help refine understanding of innovation as an interactive, developmental process.

Innovation network trajectories are influenced by self-reinforcing, contradictory and damaging forces. History affects network trajectory development, particularly with regard to financial resource access. The temporal processes reveal three contrasting classes of developmental trajectories for innovation networks.

The study methodology can account for theoretically derived factors leading to innovation, in and across types of networks and for changes over time; it moves beyond a cross-sectional approach. Although the model structure is generic, the parameters are based on a radical innovation, so the findings may not transfer directly.

Managers in innovation business networks can use the identified variables to improve network performance, by facilitating processes that inject financial capital and integrating heterogeneous skills that focus on a wider variety of skills that generate both exploratory and exploitative knowledge development.

This article contributes to discourses on network trajectories through an analysis of processes that influence the growth and decline of innovation business network performance. An original methodology generates and analyzes dynamic longitudinal network data.

The purpose of this paper is to explore how different trajectories of emotional symptoms relate to alcohol use in adolescence.

In all, 431 participants (majority female), aged approximately 13 years at baseline were followed over three years and reported on their emotional symptoms and alcohol use. Latent class growth analyses explored different trajectories of emotional symptoms and regression models were run to relate these trajectories to alcohol use (full standard drink, and binge drinking) at 36-month follow-up (age 16 years).

While the majority of adolescents were best characterised by low-stable emotional symptoms, those with high-stable symptoms were more likely to be have consumed a full standard drink of alcohol and binge drunk when aged 16 years.

Findings highlight the importance of prevention and early intervention, particularly targeting adolescents with elevated stable emotional symptoms who were more likely to be using alcohol at 16 years of age.

The present study is one of the first longitudinal investigations into the use of alcohol by community adolescents with different emotional symptom trajectories.

The objective of this chapter is to provide strategy researchers with a general resource for applying structural equation modeling (SEM) in their research. This objective is important for strategy researchers because of their increased use of SEM, the availability of advanced SEM approaches relevant for their substantive interests, and the fact that important technical work on SEM techniques often appear in outlets that may not be not readily accessible. This chapter begins with a presentation of the basics of SEM techniques, followed by a review of recent applications of SEM in strategic management research. We next provide an overview of five types of advanced applications of structural equation modeling and describe how they can be applied to strategic management topics. In a fourth section we discuss technical developments related to model evaluation, mediation, and data requirements. Finally, a summary of recommendations for strategic management researchers using SEM is also provided.

In order to deepen understanding of team processes in dynamic organizational contexts, we suggest that analyses employing techniques to identify and analyze team member interaction patterns and trajectories are necessary. After presenting a brief review of interaction data coding and reliability requirements, we first review examples of two approaches used in the identification and analysis of interaction patterns in teams: lag sequential analysis and T-pattern analysis. We then describe and discuss three statistical techniques used to analyze team interaction trajectories: random coefficient modeling, latent growth modeling, and discontinuous growth analysis. We close by suggesting several ways in which these techniques could be applied to data analysis in order to expand our knowledge of team interaction, processes, and outcomes in complex and dynamic settings.

This article aims to provide prospective authors guidelines that will hopefully enable them to submit more competitive manuscripts to journals publishing careers research.

Based on their experience as an author, reviewer and editorial team member, the authors identify the main criteria that a quantitative study must meet to be considered for publication in international peer-reviewed journals covering career-related topics. They emphasize the importance of contributing to the careers literature and of designing the study in accordance with the research question.

Manuscripts are rejected because they are insufficiently innovative, and/or because sample, instruments and design are not appropriate to answer the research question at hand. Cross-sectional designs cannot be used to answer questions of mediation but should not be discarded automatically since they can be used to address other types of questions, including questions about nesting, clustering of individuals into subgroups, and to some extent, even causality.

The manuscript provides an insight into the decision-making process of reviewers and editorial board members and includes recommendations on the use of cross-sectional data.

The objective of this chapter is to analyze diabetes onset in Mexico in terms of work relations and family. The authors examined the impacts of diabetes on inequalities, practices of violence among the Mexican population, analyzing gender relations in the context of having diabetes. Our research is based on mixed method approach. First, the authors conducted a survey among 110 diabetic persons in Chiapas and Nuevo León, two Mexican states from the North and the South. Results show that gender violence has impacts in both Mexican states despite of socioeconomical differences. Overall, diabetes is a complex social process that need to be analyzed on different social and socioeconomical levels. Gender violence is a particularly strong factor that has an impact on diabetes. The contribution of this research is based on understanding of diabetes onset as a social construction where gender violence, social cohesion and subjective wellbeing play a significant role in diabetes in the Mexican context. The outcomes of this research might have an impact on transformation of public health policy in Latin America and the Caribbean, from a medical approach to a sociocultural one in terms of diabetes as a chronic illness. Moreover, our results suggest that quality of life depends on the level of interacting within social groups, as diabetes is no longer a disease that affects an individual, but it is more a social phenomenon.

Purpose – The purpose of this chapter is to review the methodological and empirical underpinnings of transport network screening, or management, as it relates to improving road safety. As jurisdictions around the world are charged with transport network management in order to reduce externalities associated with road crashes, identifying potential blackspots or hotspots is an important if not critical function and responsibility of transport agencies.

Methodology – Key references from within the literature are summarised and discussed, along with a discussion of the evolution of thinking around hotspot identification and management. The theoretical developments that correspond with the evolution in thinking are provided, sprinkled with examples along the way.

Findings – Hotspot identification methodologies have evolved considerably over the past 30 or so years, correcting for methodological deficiencies along the way. Despite vast and significant advancements, identifying hotspots remains a reactive approach to managing road safety – relying on crashes to accrue in order to mitigate their occurrence. The most fruitful directions for future research will be in the establishment of reliable relationships between surrogate measures of road safety – such as ‘near misses’ – and actual crashes – so that safety can be proactively managed without the need for crashes to accrue.

Research implications – Research in hotspot identification will continue; however, it is likely to shift over time to both closer to ‘real-time’ crash risk detection and considering safety improvements using surrogate measures of road safety – described in Chapter 17.

Practical implications – There are two types of errors made in hotspot detection – identifying a ‘risky’ site as ‘safe’ and identifying a ‘safe’ site as ‘risky’. In the former case no investments will be made to improve safety, while in the latter case ineffective or inefficient safety improvements could be made. To minimise these errors, transport network safety managers should be applying the current state of the practice methods for hotspot detection. Moreover, transport network safety managers should be eager to transition to proactive methods of network safety management to avoid the need for crashes to occur. While in its infancy, the use of surrogate measures of safety holds significant promise for the future.

The gender-gap reversal in education could have far-reaching consequences for marriage and family lives in the United States. This study seeks to address the following question: As women increasingly marry men with less education than they have themselves, is the traditional male breadwinner model in marriage challenged?

This study takes a life course approach to examine how educational assortative mating shapes trajectories of change in female breadwinning status over the course of marriage. It uses group-based trajectory models to analyze data from the National Longitudinal Survey of Youth 1979.

The results reveal substantial movement by wives in and out of the primary breadwinner role across marital years and great heterogeneity in female breadwinning trajectories across couples. In addition, educational assortative mating plays a role in shaping female breadwinning trajectories: Compared with wives married to men whose educational levels equal or exceed their own, wives married to men with less education than themselves are more likely to have a continuously high probability of being primary earners and are also more likely to gradually or rapidly transition into primary earners if initially they are not.

This study examines couples’ breadwinning arrangements over an extended period of time and identifies qualitatively distinct patterns of change in female breadwinning that are not readily identifiable using ad hoc, ex ante classification rules. The findings suggest that future research on the economics of marriage and couple relations in families would benefit from a life course approach to conceptualizing couples’ dynamic divisions of breadwinning.