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1,419 result(s) for "Quantitative Methode."
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Indigenous statistics : a quantitative research methodology
\"In the first book ever published on Indigenous quantitative methodologies, Maggie Walter and Chris Andersen open up a major new approach to research across the disciplines and applied fields. While qualitative methods have been rigorously critiqued and reformulated, the population statistics relied on by virtually all research on Indigenous peoples continue to be taken for granted as straightforward, transparent numbers. This book dismantles that persistent positivism with a forceful critique, then fills the void with a new paradigm for Indigenous quantitative methods, using concrete examples of research projects from First World Indigenous peoples in the United States, Australia, and Canada. Concise and accessible, it is an ideal supplementary text as well as a core component of the methodological toolkit for anyone conducting Indigenous research or using Indigenous population statistics\"-- Provided by publisher.
Families in the COVID-19 pandemic: parental stress, parent mental health and the occurrence of adverse childhood experiences - results of a representative survey in Germany
Parenting during the COVID-19 pandemic is highly challenging, with parents having to meet various demands simultaneously. An increase in adverse childhood experiences (ACEs) has been widely predicted, but empirical evidence is still scarce. This study aimed to (1) generate representative data on pandemic-related stress, parental stress, general stress, parental subjective and mental health, and the occurrence of ACEs; (2) identify risk factors for an increase in ACEs, and (3) provide qualitative data on parents' experiences. A representative survey was conducted in Germany in August 2020 with 1024 parents of underage children (Mage = 41.70, 50.9% female). More than 50% of parents reported being stressed by social distancing and the closure of schools and childcare facilities. Parental stress increased significantly during the pandemic (d = 0.21). Subgroups of parents also reported very high levels of depressive symptoms (12.3%) and anxiety (9.7%). Up to one-third of the sample reported ACEs in the child's lifetime. In this group, 29.1% reported an increase in children witnessing domestic violence during the pandemic, and 42.2% an increase verbal emotional abuse. These families were characterized by higher parental stress, job losses, and younger parent and child age. Positive aspects of the pandemic related primarily to personal or family life (e.g. slower pace of life, increase in family time). While some parents coped well, a particularly negative pattern was observed in a subgroup of families that experienced an increase in ACEs. Parental stress emerged as important target point for interventions addressing the negative sequelae of the pandemic.
Spatial machine learning: new opportunities for regional science
This paper is a methodological guide to using machine learning in the spatial context. It provides an overview of the existing spatial toolbox proposed in the literature: unsupervised learning, which deals with clustering of spatial data, and supervised learning, which displaces classical spatial econometrics. It shows the potential of using this developing methodology, as well as its pitfalls. It catalogues and comments on the usage of spatial clustering methods (for locations and values, both separately and jointly) for mapping, bootstrapping, cross-validation, GWR modelling and density indicators. It provides details of spatial machine learning models, which are combined with spatial data integration, modelling, model fine-tuning and predictions to deal with spatial autocorrelation and big data. The paper delineates “already available” and “forthcoming” methods and gives inspiration for transplanting modern quantitative methods from other thematic areas to research in regional science.
Qualitative Content Analysis: Conceptualizations and Challenges in Research Practice—Introduction to the FQS Special Issue \Qualitative Content Analysis I\
In diesem Beitrag führen wir in den ersten Teil der Schwerpunktausgabe zur qualitativen Inhaltsanalyse (QIA) ein. In einem ersten Schritt beschreiben wir die Überlegungen, die dem Schwerpunkt zugrunde liegen, und erläutern die Unterteilung in zwei Teilausgaben. Anschließend geben wir einen Überblick über zentrale Fragestellungen in der gegenwärtigen Methodenliteratur zur QIA und identifizieren vier Kernbereiche: 1. die Konzeptualisierung der QIA als hybride Kombination quantitativer und qualitativer Elemente oder als genuin qualitative Methode; 2. die Relation zwischen dem deutschsprachigen und dem internationalen Methodendiskurs; 3. die Frage, ob sich theoretische und/oder epistemologische Grundlagen der QIA identifizieren lassen; 4. fehlende Transparenz bei der Dokumentation von Anwendungen der Methode. In einem nächsten Schritt gehen wir auf den Prozess der Erstellung der Schwerpunktausgabe ein und erläutern die Struktur und die Zusammenhänge zwischen den Beiträgen. In dem vorliegenden ersten Teil legen wir den Fokus auf Artikel zur Konzeptualisierung der QIA sowie auf Beiträge, in denen Herausforderungen bei der Methodenanwendung und Lösungsansätze beschrieben werden. Auf dieser Grundlage kommen wir zu dem Schluss, dass sich in der gegenwärtigen Methodenliteratur durchaus unterschiedliche Konzeptionen der QIA identifizieren lassen. Dies spiegelt sich auch in der Vielfalt der Herausforderungen bei der Anwendung der Methode wider und in den unterschiedlichen kreativen Umgangsweisen mit diesen Herausforderungen, wie sie von den Autor_innen dieser ersten Teilausgabe beschrieben werden.
Qualitative Content Analysis: Why is it Still a Path Less Taken?
Die Geschichte der Inhaltsanalyse ist größtenteils die Geschichte ihrer quantitativen Variante. Obwohl die qualitative Inhaltsanalyse (QIA) in wissenschaftlichen Schriften behandelt wurde, blieb sie weitgehend auf eine explorative, impressionistische und weniger pragmatische Rolle beschränkt. Der in den 1940er Jahren verbreitete logische Positivismus und die Dominanz quantitativer Analyseformen prägten die Methode insbesondere in angelsächsischen Regionen in einem quantitativen Sinne. Diese und andere Trends überschatteten die methodologischen Entwicklungen innerhalb der QIA, obwohl kritische Stimmen Einwände gegen die übermäßige Fokussierung auf Quantifizierung und die Analyse des manifesten Inhalts auf Kosten der tieferen Bedeutungen im Text erhoben. Im Beitrag wird ein kurzer Rückblick auf die Geschichte und die Bedeutung der QIA gegeben, um anschließend auf die Hauptgründe ihrer Marginalisierung im angelsächsischen im Vergleich zum kontinentalen Kontext einzugehen. Während die stärkere Präsenz der qualitativen Forschung einschließlich der QIA in Deutschland und anderen nicht englischsprachigen Ländern durch die Dominanz der hermeneutischen intellektuellen Traditionen erklärt werden kann, ist ihre generelle Bedeutungslosigkeit im angelsächsischen Raum mit methodologischer Unklarheit, der positivistischen quantitativen Orthodoxie bei der Bewertung qualitativer Methoden und der erkenntnistheoretischen und ontologischen Ambiguität des Ansatzes verbunden. Basierend auf der Diskussion werden einige Überlegungen zu den zukünftigen Entwicklungen der QIA angestellt.
Prevalence of substance use disorders and associations with mindfulness, impulsive personality traits and psychopathological symptoms in a representative sample of adolescents in Germany
Adolescence is a critical phase for the development of substance use disorders (SUDs). For Europe and Germany, there are limited data on problematic substance use from representative youth samples. Trait mindfulness is relevant in buffering against substance use-related problems and associated deficits in self-regulatory control. The objective of this study is to estimate 12-month prevalence rates for SUDs in a representative sample of adolescents in Germany and to examine associations with mindfulness and related factors such as stress, impulsivity, sensation seeking and symptoms of psychopathology. A sample of 4001 adolescents aged 12–18 years from Germany was surveyed based on DSM-IV diagnostic criteria for SUDs. Logistic regression analyses were used to examine associations with mindfulness-related variables. Criteria of at least one of the assessed SUDs were endorsed by 11.2% of the adolescents. Alcohol use disorders had the highest prevalence rate (10.1%) followed by cannabis use disorders (2.6%). For both substances, the criteria for abuse were met about twice as often as those for dependence. The prevalence of cigarette dependence was 1.7%, while the prevalence for e-cigarette dependence was only 0.1%. Prevalence rates were higher for male youth and increasing with age. SUD prevalence was also related to mindfulness, impulsivity and sensation seeking and externalizing symptoms of psychopathology. The statistically significant associations varied across different SUDs. SUDs appear highly prevalent among German adolescents. The results have public health implications with regard to treatment needs and prevention measures in the youth population in Germany.
GAUDIE: Development, validation, and exploration of a naturalistic German AUDItory Emotional database
Since thoroughly validated naturalistic affective German speech stimulus databases are rare, we present here a novel validated database of speech sequences assembled with the purpose of emotion induction. The database comprises 37 audio speech sequences with a total duration of 92 minutes for the induction of positive, neutral, and negative emotion: comedian shows intending to elicit humorous and amusing feelings, weather forecasts, and arguments between couples and relatives from movies or television series. Multiple continuous and discrete ratings are used to validate the database to capture the time course and variabilities of valence and arousal. We analyse and quantify how well the audio sequences fulfil quality criteria of differentiation, salience/strength, and generalizability across participants. Hence, we provide a validated speech database of naturalistic scenarios suitable to investigate emotion processing and its time course with German-speaking participants. Information on using the stimulus database for research purposes can be found at the OSF project repository GAUDIE: https://osf.io/xyr6j/ .
Existuje v ČR polarizace mezi městy a venkovem?
This paper examines whether there is a rural-urban polarisation in values in the Czech Republic, similar in form and extent to corresponding developments across many western European countries and the United States. The paper uses a mixed-method design, combining quantitative and qualitative analysis. The quantitative part works with data from the European Values Study, differentiated by settlement size and commuting time, which allow us to distinguish between rural municipalities based on their level of remoteness. The qualitative part focuses on the media coverage of the relationship between rural and urban populations over the past ten years. This relationship is analysed utilising discourse analysis, drawing on the methods of structural hermeneutics. Using these approaches, we identify three key dimensions that articulate the relationship between urban and rural populations. In conclusion, we argue that rural-urban polarisation as a ‘social border’ is almost non-existent in the Czech Republic, but it is strongly present in society as a ‘symbolic border’. We explain this paradox with reference to the ideological functions played by the social representations of cities and rural areas.
Conducting quantitative studies with the participation of political elites: best practices for designing the study and soliciting the participation of political elites
Conducting quantitative research (e.g., surveys, a large number of interviews, experiments) with the participation of political elites is typically challenging. Given that a population of political elites is typically small by definition, a particular challenge is obtaining a sufficiently high number of observations and, thus, a certain response rate. This paper focuses on two questions related to this challenge: (1) What are best practices for designing the study? And (2) what are best practices for soliciting the participation of political elites? To arrive at these best practices, we (a) examine which factors explain the variation in response rates across surveys within and between large-scale, multi-wave survey projects by statistically analyzing a newly compiled dataset of 342 political elite surveys from eight projects, spanning 30 years and 58 countries, (b) integrate the typically scattered findings from the existing literature and (c) discuss results from an original expert survey among researchers with experience with such research (n = 23). By compiling a comprehensive list of best practices, systematically testing some widely held believes about response rates and by providing benchmarks for response rates depending on country, survey mode and elite type, we aim to facilitate future studies where participation of political elites is required. This will contribute to our knowledge and understanding of political elites’ opinions, information processing and decision making and thereby of the functioning of representative democracies.
How to shape communication for CO₂-derived insulation boards considering different accepter profiles
Climate change is a constant global challenge. An approach to help mitigate climate change is carbon capture and utilization (CCU), in which captured CO2 is reused as raw material for consumer products. Because innovations like CCU are unfamiliar to the general public, their communication is critical for a successful rollout. To date, sustainability innovation research has largely neglected the empirical study of communication. The present study contributes to studying the information and communication needs of laypeople based on perceptions and acceptance patterns for CCU by focusing on acceptance profiles for CCU-based insulation boards. In an empirical two-step approach, a qualitative interview prestudy was followed by a quantitative questionnaire measurement (N = 643). Using k-means clustering, the respondents were divided into three acceptance groups: rejecters (15%), tentative accepters (51%), and strong accepters (34%). Analysis showed that regarding their demographics and personality traits, tentative accepters and rejecters were similar. All segments trusted science and health experts best, and only the rejecters distrusted some specific actors. Information on the product's risks and functional properties was most important for all acceptance groups. Based on the study's insights, both general and targeted managerial communication and policy guidelines were formulated.