Das Handwerk – Zur definitorischen und statistischen Abgrenzung eines Querschnittsbereichs

2019 ◽  
Vol 67 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Katarzyna Haverkamp
Keyword(s):  
Empirical Research ◽  
Market Entry ◽  
Empirical Studies ◽  
Causal Effects ◽  
Economic Research ◽  
Entry And Exit ◽  
Definition Of

Zusammenfassung In der empirischen Wirtschaftsforschung zeigt sich ein zunehmendes Interesse an der Untersuchung der Fragen der Gründungsdynamik und des Gründungserfolgs im Kontext der deutschen Handwerkswirtschaft. Eine besondere Herausforderung für diese Analysen besteht jedoch darin, dass eine statistische Abgrenzung des juristisch definierten Handwerkssektors in den vorliegenden Sekundärdatensätzen meist nur mit Einschränkungen möglich ist. Vor diesem Hintergrund analysiert dieser Beitrag Möglichkeiten und Grenzen einer statistischen Abgrenzung des Handwerks in Mikrodatensätzen und untersucht unterschiedliche, bislang verwendete Identifikationsverfahren im Hinblick auf die Repräsentativität der jeweils gewonnen Stichproben. Im Ergebnis zeigt der Beitrag die Stärken und Schwächen unterschiedlicher Identifikationsverfahren und formuliert Empfehlungen hinsichtlich ihrer Verwendung in der Entrepreneurship-Forschung. Abstract Recently, several empirical studies investigate the causal effects of regulation on market entry and exit using the example of the German crafts sector. However, since the definition of the sector is made on legal- and not statistical basis, the identification of crafts companies and employees in microdata records is an intricate process. This paper examines different identification strategies that have been used so far in empirical research and investigates whether the resulting samples are consistent with the overall population in question. The paper contributes to existing economic research by providing an understanding for the potential pitfalls when analyzing sub-groups in larger datasets and by formulating an explicit recommendation for the case of the research on regulation and entry in the German crafts sector.

scholarly journals Medicalization Defined in Empirical Contexts – A Scoping Review

2019 ◽  
Author(s):  
Wieteke van Dijk ◽  
Marjan J. Meinders ◽  
Marit A.C. Tanke ◽  
Gert P. Westert ◽  
Patrick P.T. Jeurissen
Keyword(s):  
Empirical Research ◽  
Scoping Review ◽  
Research Question ◽  
Empirical Studies ◽  
The Other ◽  
Shared Understanding ◽  
Exclusion Criteria ◽  
The One ◽  
Definition Of ◽  
Over Time

Background: Medicalization has been a topic of discussion and research for over four decades. It is a known concept to researchers from a broad range of disciplines. Medicalization appears to be a concept that speaks to all, suggesting a shared understanding of what it constitutes. However, conceptually, the definition of medicalization has evolved over time. It is unknown how the concept is applied in empirical research, therefore following research question was answered: How is medicalization defined in empirical research and how do the definitions differ from each other? Methods: We performed a scoping review on the empirical research on medicalization. The 5 steps of a scoping review were followed: (1) Identifying the research question; (2) Identifying relevant studies; (3) Inclusion and exclusion criteria; (4) Charting the data; and (5) Collating, summarizing and reporting the results. The screening of 3027 papers resulted in the inclusion of 50 empirical studies in the review. Results: The application of the concept of medicalization within empirical studies proved quite diverse. The used conceptual definitions could be divided into 10 categories, which differed from each other subtly though importantly. The ten categories could be placed in a framework, containing two axes. The one axe represents a continuum from value neutral definitions to value laden definitions. The other axe represents a continuum from a micro to a macro perspective on medicalization. Conclusion: This review shows that empirical research on medicalization is quite heterogeneous in its definition of the concept. This reveals the richness and complexity of medicalization, once more, but also hinders the comparability of studies. Future empirical research should pay more attention to the choice made with regard to the definition of medialization and its applicability to the context of the study.

scholarly journals Action Research as a Meta-Methodology in the Management Field

2020 ◽  
Vol 19 ◽  
pp. 160940692091748
Author(s):  
Amaya Erro-Garcés ◽  
José A. Alfaro-Tanco
Keyword(s):  
Action Research ◽  
Empirical Research ◽  
Quantitative Research ◽  
Research Study ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Business Management ◽  
Research Article ◽  
Definition Of ◽  
Business And Management

Although it was first developed in the field of psychology, action research is a methodology of growing importance in business and management contexts. In this research article, we focus on a significant aspect of action research: the variety of methodologies that can be used jointly in an action research study and its relationships. More specifically, the aim of this study is to underscore the definition of action research as a meta-methodology that encompasses different ways of carrying out empirical research. To this end, we perform a meta-analysis of articles discussing empirical research that used an action research methodology. The meta-analysis is based on a systematic review of articles published between 2000 and 2018. The main findings suggest that action research may be regarded as a multidisciplinary method and that it can be implemented jointly with other methodologies; not just qualitative methods but also quantitative research. Consequently, action research may now be defined as a meta-methodology or an umbrella process. In this way, action research is a tool whose implementation ought to be promoted in the business/management field as a way of enhancing relevant, rigorous empirical studies and serving as a framework reference in projects based on research and practice contribution as well as active collaboration between researchers and practitioners.

Culture, names and economic development

2016 ◽  
pp. 81-106
Author(s):  
E. Borisova ◽  
A. Kulkova
Keyword(s):  
Economic Development ◽  
Cultural Identity ◽  
Empirical Studies ◽  
Economic Research ◽  
Cultural Norms ◽  
Individual Values ◽  
Personal Names ◽  
Economic Significance ◽  
And Behavior

Various components of culture have long been in the focus of economic research. Numerous empirical studies show that cultural norms, as well as religion and language, matter for economic development and have not only statistical but also economic significance. This paper considers various examples of how culture can affect individual values and behavior. It also deals with personal names as a key marker of one’s cultural identity. Overall, the paper contributes to the more profound understanding of a famous notion that "culture matters", and helps clarify the mechanisms through which culture exerts its influence.

Education of Mothers in Childcare

2013 ◽  
Vol 3 (3) ◽  
pp. 77-90
Author(s):  
Zuzana Vařejková
Keyword(s):  
Qualitative Research ◽  
Child Care ◽  
Empirical Research ◽  
Parental Education ◽  
Information Resource ◽  
Access To Information ◽  
Qualitative Empirical Research ◽  
Definition Of

This paper deals with the education of mothers in the care of the child and is a project of qualitative empirical research. First, it presents a theoretical definition of the topic – parenting, child care and parental learning. Subsequently, it describes the methodology and results of qualitative research which dealt with the issue of parental education of mothers in child care, specifically their access to information resource.

scholarly journals Osteopathic empirical research: a bibliometric analysis from 1966 to 2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chantal Morin ◽  
Isabelle Gaboury
Keyword(s):  
Bibliometric Analysis ◽  
Empirical Research ◽  
Scientific Literature ◽  
Case Reports ◽  
Empirical Studies ◽  
Body Part ◽  
The United States ◽  
Mesh Terms ◽  
Research Designs ◽  
System Body

Abstract Background Despite the increasing use of osteopathy, a manipulative complementary and alternative medicine therapy, in the general population, its efficacy continues to be debated. In this era of evidence-based practice, no studies have previously reviewed the scientific literature in the field to identify published knowledge, trends and gaps in empirical research. The aims of this bibliometric analysis are to describe characteristics of articles published on the efficacy of osteopathic interventions and to provide an overall portrait of their impacts in the scientific literature. Methods A bibliometric analysis approach was used. Articles were identified with searches using a combination of relevant MeSH terms and indexing keywords about osteopathy and research designs in MEDLINE and CINAHL databases. The following indicators were extracted: country of primary author, year of publication, journals, impact factor of the journal, number of citations, research design, participants’ age group, system/body part addressed, primary outcome, indexing keywords and types of techniques. Results A total of 389 articles met the inclusion criteria. The number of empirical studies doubled every 5 years, with the United States, Italy, Spain, and United Kingdom being the most productive countries. Twenty-three articles were cited over 100 times. Articles were published in 103 different indexed journals, but more than half (53.7%) of articles were published in one of three osteopathy-focused readership journals. Randomized control trials (n = 145; 37.3%) and case reports (n = 142; 36.5%) were the most common research designs. A total of 187 (48.1%) studies examined the effects of osteopathic interventions using a combination of techniques that belonged to two or all of the classic fields of osteopathic interventions (musculoskeletal, cranial, and visceral). Conclusion The number of osteopathy empirical studies increased significantly from 1980 to 2014. The productivity appears to be very much in sync with practice development and innovations; however, the articles were mainly published in osteopathic journals targeting a limited, disciplinary-focused readership.

scholarly journals Reframing ‘integration’: acknowledging and addressing five core critiques

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sarah Spencer ◽  
Katharine Charsley
Keyword(s):  
Empirical Research ◽  
Recent Criticism ◽  
Heuristic Model ◽  
Migration Studies ◽  
Methodological Nationalism ◽  
Narrow Focus ◽  
The Subject ◽  
The Rich ◽  
Definition Of

AbstractEmpirical and theoretical insights from the rich body of research on ‘integration’ in migration studies have led to increasing recognition of its complexity. Among European scholars, however, there remains no consensus on how integration should be defined nor what the processes entail. Integration has, moreover, been the subject of powerful academic critiques, some decrying any further use of the concept. In this paper we argue that it is both necessary and possible to address each of the five core critiques on which recent criticism has focused: normativity; negative objectification of migrants as ‘other’; outdated imaginary of society; methodological nationalism; and a narrow focus on migrants in the factors shaping integration processes. We provide a definition of integration, and a revised heuristic model of integration processes and the ‘effectors’ that have been shown to shape them, as a contribution to a constructive debate on the ways in which these challenges for empirical research can be overcome.

scholarly journals First-Generation College Students and Family Support: A Critical Review of Empirical Research Literature

2021 ◽  
Vol 11 (6) ◽  
pp. 294
Author(s):  
Samantha LeBouef ◽  
Jodi Dworkin
Keyword(s):  
College Students ◽  
Family Support ◽  
Empirical Research ◽  
First Generation ◽  
Empirical Studies ◽  
First Generation College Students ◽  
Research Literature ◽  
Empirical Literature ◽  
First Generation College ◽  
Research Narrative

The majority of empirical literature on first generation college students (FGCSs) in the U.S. asserts that because their parents did not attend college, FGCSs are lacking important resources to be successful in college. However, this results in a deficit-based approach to the study of FGCSs that tends to highlight the differences between first-generation and continuing-education students. However, FGCSs possess a wealth of resources from parents and families that make them successful, and that are often ignored in research. Asset-based approaches to the study of FGCSs are becoming more frequent in the form of books, book chapters, and white papers; however, published empirical research has yet to adopt this approach. As a result, a deeper understanding of FGCSs’ experiences is essential to advancing diversity and equity in higher education. To begin to address this gap, a systematic literature review of empirical studies following the PRISMA framework was conducted on first generation college students and family support; the literature was critically reviewed and future directions for the field were identified. Applying a critical, cultural, and familial lens to the study of first-generation college students will contribute to reframing the research narrative towards an asset-based narrative.

scholarly journals Undergraduate Econometrics Instruction: Through Our Classes, Darkly

2017 ◽  
Vol 31 (2) ◽  
pp. 125-144 ◽  
Author(s):  
Joshua D. Angrist ◽  
Jörn-Steffen Pischke
Keyword(s):  
Paradigm Shift ◽  
Causal Effects ◽  
Economic Research ◽  
Back Seat ◽  
The Past ◽  
Past Half Century ◽  
1960S And 1970S ◽  
The 1960S ◽  
Past Half ◽  
Classical Regression

The past half-century has seen economic research become increasingly empirical, while the nature of empirical economic research has also changed. In the 1960s and 1970s, an empirical economist's typical mission was to “explain” economic variables like wages or GDP growth. Applied econometrics has since evolved to prioritize the estimation of specific causal effects and empirical policy analysis over general models of outcome determination. Yet econometric instruction remains mostly abstract, focusing on the search for “true models” and technical concerns associated with classical regression assumptions. Questions of research design and causality still take a back seat in the classroom, in spite of having risen to the top of the modern empirical agenda. This essay traces the divergent development of econometric teaching and empirical practice, arguing for a pedagogical paradigm shift.

The Big-Fish-Little-Pond Effect

2005 ◽  
Vol 19 (3) ◽  
pp. 137-140 ◽  
Author(s):  
Ulrich Trautwein ◽  
Oliver Lüdtke
Keyword(s):  
Empirical Research ◽  
Educational Outcomes ◽  
Reference Group ◽  
Empirical Studies ◽  
Large Body ◽  
Self Concept ◽  
Achievement Level ◽  
Educational Implications ◽  
Reference Group Effects ◽  
Group Effects

Summary: Reference group effects on self-concept have been examined in a multitude of empirical studies in various educational settings. Effects of this kind have been most rigorously demonstrated by Herbert W. Marsh, who introduced the term big-fish-little-pond effect (BFLPE) to describe the finding that students' self-concept is negatively affected by the achievement level of other students in the same class or school. The phenomenon of the BFLPE is supported by a large body of empirical research. In this contribution, we first discuss mechanisms underlying the BFLPE. Second, we address reference group effects on educational outcomes other than self-concept. Finally, we briefly discuss educational implications of the BFLPE.

scholarly journals Using Split Samples to Improve Inference on Causal Effects

2017 ◽  
Vol 25 (4) ◽  
pp. 465-482 ◽  
Author(s):  
Marcel Fafchamps ◽  
Julien Labonne
Keyword(s):  
Sample Size ◽  
Empirical Research ◽  
Training Sample ◽  
Statistical Procedure ◽  
Third Party ◽  
Causal Effects ◽  
Testing Sample ◽  
Lower Likelihood

We discuss a statistical procedure to carry out empirical research that combines recent insights about preanalysis plans (PAPs) and replication. Researchers send their datasets to an independent third party who randomly generates training and testing samples. Researchers perform their analysis on the training sample and are able to incorporate feedback from both colleagues, editors, and referees. Once the paper is accepted for publication the method is applied to the testing sample and it is those results that are published. Simulations indicate that, under empirically relevant settings, the proposed method delivers more power than a PAP. The effect mostly operates through a lower likelihood that relevant hypotheses are left untested. The method appears better suited for exploratory analyses where there is significant uncertainty about the outcomes of interest. We do not recommend using the method in situations where the treatment are very costly and thus the available sample size is limited. An interpretation of the method is that it allows researchers to perform direct replication of their work. We also discuss a number of practical issues about the method’s feasibility and implementation.

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