Suchergebnisse

Dieser Jahresbericht stellt die Arbeiten des bei GESIS angesiedelten Forschungsdatenzentrums Wahlen aus dem Jahr 2010 dar. Angebunden an bereits bestehende Dienstleistungsangebote und Forschungsaktivitäten von GESIS ist es seit 2009 Bestandteil der Forschungsdateninfrastruktur des RatSWD. Das Forschungsdatenzentrum knüpft an die Schwerpunktsetzung von GESIS im Bereich der Umfrage- und Wahlforschung an. Hierzu zählen Bundes- und Landtagswahlstudien, das Politbarometer, der DeutschlandTrend und der Forsa-Bus. Als neuestes Projekt kam 2009 die German Longitudinal Election Study (GLES) hinzu. Zu den Aufgaben des Forschungsdatenzentrums Wahlen gehören die Erhebung, Aufbereitung und ausführliche Dokumentation von Primärdaten im Sinne ihrer langfristigen Nutzbarkeit in Forschung und Lehre, wissenschaftliche Mehrwertdienste, Wissensvermittlung und Forschung. Im Jahr 2010 wurde eine Vielzahl an GLES Pre-Releases sowie die letzte Jahreskumulation des Politbarometers vorbereitet und veröffentlicht.

Following the international research field of college media, this dissertation focuses on German college television (abbreviated CTV). The dissertation aims to draw a comprehensive picture of the organizational and editorial conditions of German college television. Established CTV practices are investigated through qualitative expert interviews and non-participant observations in the USA, the pioneer country of college television, and a two-wave quantitative online survey in Germany. The survey data leads to a typology of German college television. A key distinction of CTV is its curricular affiliation. The extra-curricular outlets are far better equipped than their German counterparts. Within this group, the combination of peer learning and professional editorial structures creates an ideal training environment. In contrast, the intra-curricular projects, which are guided by instructors, simulate a real studio atmosphere. These CTV stations pursue a "two-fold mission" providing both higher education-based hands-on media training and informing a local or regional community. The German online survey identifies editorial heterogeneity that reflects regional higher education and media law infrastructures. The second survey wave finds that the COVID-19 pandemic significantly constrained CTV project workflows. CTV's digital environment was a key driver in allowing stations to continue under pandemic-related constraints. Overall, projects with intra-curricular links show a more stable continuity. In order to achieve homogeneous groups in the typology, the cluster analysis was reduced to three binary variables: curricular linkage, field specialization, as well as resources. This results in a four-cluster solution. The groundwork research enables further studies on the role of college media productions by students in the German higher education and media system.

The do-files are made available here, which can be used to replicate the results from the paper "Firl, K., 2024: Changing Attitudes? Investigating the Link between Couples' Pandemic Behavior, Cognitive Dissonance, and Gender Role Attitudes in Germany. In: Zeitschrift für Soziologie". In the analyzes, the Scientific Use Files (SUF) from release 13.0 from the German Family Panel 'pairfam' are used. The data can be obtained via https://www.pairfam.de/daten/datenzugang/ . The doi of the data is: https://doi.org/10.4232/pairfam.5678.13.0.0 .
In the analyzes, Stata version 17 is used, however, the analyzes can also be reproduced with older Stata versions.

Um die geschlechtergerechte Teilhabe an Entscheidungsgremien von Hochschulen zu erfassen, ist ein kontinuierliches Monitoring notwendig. Für Hochschulräte und ähnliche Gremien stellt die jährliche Datenzusammenstellung des CEWS (Kompetenzzentrum Frauen in Wissenschaft und Forschung), die seit 2003 zunächst mit einer Erhebung des CEWS und seit 2016 mit Daten des Statistischen Bundesamts erscheint, dieses Monitoring zur Verfügung.
2023 überstieg der Frauenanteil an den Hochschulräten und vergleichbaren Gremien erstmals die 40-Prozent-Marke. Der Bericht präsentiert aktuelle Daten des Statistischen Bundesamtes differenziert nach Bundesländern, Hochschultyp und Trägerschaft sowie im Zeitverlauf seit 2003.

DBLP (https://dblp.org/) is a comprehensive collection of computer science publications from major and minor journals and conference proceedings. From this dump, we remove arXiv preprints. Our dataset consists of 1.9 million publications from 1970 to 2014 that are authored by 1.1 million authors. We have added citations among publications by combining DBLP with the AMiner dataset (https://www.aminer.org/citation) via publication titles and years. There are 6.6 million citations among publications. Author names in DBLP are disambiguated. To infer the gender of authors, we have used a method that combines the results of name-based and image-based gender detection services. Since the accuracy is very low for Chinese and Korean names, we label their gender as unknown to reduce noise in our analysis.

European inequality research often follows the tradition of using occupational based categorical classification to identify the socioeconomic position of individuals or households (e.g., classes, strata, milieus, occupational groups). In the past, European studies have often used the Erikson-Goldthorpe-Portocarero class (EGP) scheme (cf. Erikson & Goldthorpe 1992). However, the EGP scheme has only been validated for Great Britain (cf. Evans 1992). Variants for other countries are largely based on informed plausibility, following the British model, though operationalisation may vary by country. As an alternative to the EGP, two other currently available categorical concepts are the ESeC (European Socioeconomic Classification) and the ESeG (European Socioeconomic Groups), both based on the International Standard Classification of Occupation (ISCO). Both concepts are intended to improve cross-country comparative analysis of social inequality in Europe. However, the ESeC and ESeG differ in their theoretical basis and should not be confused with each other, and the ESeC and ESeG also cannot readily be transferred into each other. The ESeC is available for ISCO-88 (ESeC88) and ISCO-08 (ESeC08). The ESeG is available for ISCO-08. In this paper, we focus on the operationalisation of ESeC with EU-SILC cross-sectional data (2004-2020). Alongside this report, we have published syntax files (SPSS, Stata, and R) which can be used for the operationalisation of ESeC and ESeG.

Um die geschlechtergerechte Teilhabe an Entscheidungsgremien von Hochschulen zu erfassen, ist ein kontinuierliches Monitoring notwendig. Für Hochschulräte und ähnliches Gremien stellt die jährliche Datenzusammenstellung des CEWS (Kompetenzzentrum Frauen in Wissenschaft und Forschung), die seit 2003 zunächst mit einer Erhebung des CEWS und seit 2016 mit Daten des Statistischen Bundesamt erscheint, dieses Monitoring zur Verfügung.
2022 erreichte die Teilhabe von Frauen an den Hochschulräten mit 39 Prozent einen Spitzenwert seit Erhebung dieser Daten. Der Bericht präsentiert aktuelle Daten des Statistischen Bundesamtes differenziert nach Bundesländern, Hochschultyp und Trägerschaft sowie im Zeitverlauf seit 2003.

Survey data often includes missing values. An approach to deal with missing values is imputation in order to obtain a complete dataset. However, the process of imputation requires researchers to make various decisions regarding the imputation method to be applied, the number of values to be imputed for each missing value, the selection of predictor variables, the treatment of multivariate nonresponse and the conduct of variance estimation. This survey guideline provides an overview of imputation procedures for missing values. It aims to support the reader with respect to aforementioned decisions when imputing missing values in survey data.

The recommendations in this guideline focus on the concrete translation step, answering the
question what those translating questionnaires need to keep in mind and consider when
translating and taking actual translation decisions. Areas covered include: (a) the translation of
meaning, (b) cultural adequacy, (c) response scales, d) consistency, e) style and register, f)
linguistic correctness, and g) layout and presentation. We particularly have questionnaire
translations for cross-cultural or cross-national surveys in mind where comparability is
paramount.

Published here is a Stata Do-File in which all data transformations and calculations for the reference publication are included (replication material).

This is the R Code of the ZIS-documentation of the ISSP Organizational Commitment Scale (https://doi.org/10.6102/zis312 ). It includes the cross-cultutral computation of descriptive statistics, reliability (Cronbach's alpha, McDonald's Omega and average variance extracted), factorial and convergent validity, and measurement invariance. Used methods were confirmatory factor analyses (factorial validity, reliability, measurement invariance), hierarchical linear modeling (convergent validity), and the alignment method of measurement invariance. Attached you find the abstract of the documentation:

Organizational commitment (OC) refers to a person's identification with and involvement in their company. The herein presented ISSP OC scale was used first in the International Social Survey Programme (ISSP) in 1997. It is an economic scale consisting of three items measuring the affective facet of organizational commitment. Translations exist in 50 languages, and data for 38 countries are available. The German-language version of the scale and most of the other language versions showed acceptable to good reliability (internal consistency). Using data of the ISSP 2015 (https://doi.org/10.4232/1.12848, https://doi.org/10.4232/1.13059), we found evidence for convergent, divergent, and criterion-related validity. The scale showed approximative scalar invariance across 32 countries which allows comparing latent variances, covariances, and means in cross-cultural studies.