TY - JOUR A1 - Hipp, Lena A1 - Bünning, Mareike A1 - Munnes, Stefan A1 - Sauermann, Armin T1 - Commentary zu: Schaurer, Ines; Weiß, Bernd: Investigating selection bias of online surveys on coronavirus-related behavioral outcomes JF - Survey research methods Y1 - 2020 U6 - https://doi.org/10.18148/srm/2020.v14i2.7751 SN - 1864-3361 VL - 14 IS - 2 SP - 107 EP - 108 PB - European Survey Research Association CY - Duisburg ER - TY - JOUR A1 - Munnes, Stefan A1 - Harsch, Corinna A1 - Knobloch, Marcel A1 - Vogel, Johannes S. A1 - Hipp, Lena A1 - Schilling, Erik T1 - Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches JF - Frontiers in Big Data N2 - Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the "gold standard " of human-coded sentiments. Literature reviews constitute a challenging text corpus for computational analysis as they not only contain different text levels-for example, a summary of the work and the reviewer's appraisal-but are also characterized by subtle and ambiguous language elements. To take the nuanced sentiments of literature reviews into account, we worked with a metric rather than a dichotomous scale for sentiment analysis. The results of our analyses show that the predicted sentiments of prefabricated dictionaries, which are computationally efficient and require minimal adaption, have a low to medium correlation with the human-coded sentiments (r between 0.32 and 0.39). The accuracy of self-created dictionaries using word embeddings (both pre-trained and self-trained) was considerably lower (r between 0.10 and 0.28). Given the high coding intensity and contingency on seed selection as well as the degree of data pre-processing of word embeddings that we found with our data, we would not recommend them for complex texts without further adaptation. While fully automated approaches appear not to work in accurately predicting text sentiments with complex texts such as ours, we found relatively high correlations with a semiautomated approach (r of around 0.6)-which, however, requires intensive human coding efforts for the training dataset. In addition to illustrating the benefits and limits of computational approaches in analyzing complex text corpora and the potential of metric rather than binary scales of text sentiment, we also provide a practical guide for researchers to select an appropriate method and degree of pre-processing when working with complex texts. KW - sentiment analysis KW - German literature KW - dictionary KW - word embeddings KW - automated text analysis KW - computer-assisted text analysis KW - scaling method Y1 - 2022 U6 - https://doi.org/10.3389/fdata.2022.886362 SN - 2624-909X VL - 5 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Bünning, Mareike A1 - Hipp, Lena T1 - How can we become more equal? BT - public policies and parents’ work–family preferences in Germany JF - Journal of European social policy N2 - This study examines how public policies affect parents' preferences for a more egalitarian division of paid and unpaid work. Based on the assumption that individuals develop their preferences within a specific policy context, we examine how changes in three policies affect mothers' and fathers' work-family preferences: the availability of high-quality, affordable childcare; the right to return to a full-time job after having reduced hours to part-time and an increase in the number of 'partner months' in parental leave schemes. Analysing a unique probability sample of parents with young children in Germany from 2015 (N = 1756), we find that fathers would want to work slightly fewer hours if they had the right to return to a full-time position after working part-time, and mothers would want to work slightly more hours if childcare opportunities were improved. Full-time working parents, moreover, are found to prefer fewer hours independent of the policy setting, while non-employed parents would like to work at least some hours. Last but not least, our analyses show that increasing the number of partner months in the parental leave scheme considerably increases fathers' preferences for longer and mothers' preferences for shorter leave. Increasing the number of partner months in parental schemes hence has the greatest potential to increase gender equality. KW - work-family policies KW - parental leave KW - childcare KW - working time KW - regulations KW - parenthood KW - working hours KW - gender equality KW - preferences KW - capabilities framework Y1 - 2021 U6 - https://doi.org/10.1177/09589287211035701 SN - 0958-9287 SN - 1461-7269 VL - 32 IS - 2 SP - 182 EP - 196 PB - Sage Publ. CY - London ER - TY - JOUR A1 - Hipp, Lena A1 - Bünning, Mareike A1 - Munnes, Stefan A1 - Sauermann, Armin T1 - Problems and pitfalls of retrospective survey questions in COVID-19 studies JF - Survey research methods N2 - This paper examines and discusses the biases and pitfalls of retrospective survey questions that are currently being used in many medical, epidemiological, and sociological studies on the COVID-19 pandemic. By analyzing the consistency of answers to retrospective questions provided by respondents who participated in the first two waves of a survey on the social consequences of the COVID-19 pandemic, we illustrate the insights generated by a large body of survey research on the use of retrospective questions and recall accuracy. KW - COVID-19 KW - retrospective questions KW - recall accuracy Y1 - 2020 U6 - https://doi.org/10.18148/srm/2020.v14i2.7741 SN - 1864-3361 VL - 14 IS - 2 SP - 109 EP - 113 PB - European Survey Research Association CY - Konstanz ER -