63 results on '"Schmiedeberg, Claudia"'
Search Results
52. Neighborhood Effects on Children’s Subjective Deprivation: Are Poor Children’s Perceptions of the Economic Situation in their Home Influenced by their Neighborhood?
- Author
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Huyer-May, Bernadette, primary, Schmiedeberg, Claudia, additional, and Schumann, Nina, additional
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- 2017
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53. Beyond the two-child family: factors affecting second and third birth rates in West Germany
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Schröder, Jette, Schmiedeberg, Claudia, Brüderl, Josef, Schröder, Jette, Schmiedeberg, Claudia, and Brüderl, Josef
- Abstract
"Based on retrospective data from the German Family Survey (DJI Familiensurvey) 2000, we investigate factors associated with the transition from the second to the third child for West German women of the birth cohorts 1944-1979 and contrast them to the determinants of the transition from the first to the second child. Applying event history analysis, we confirm effects of timing and spacing of children and mothers’ labor force participation reported in previous studies. In addition, we find a higher third birth rate for women with two children of the same sex, who might wish to have a child of the opposite sex. Further, we find a higher third birth rate for women with two or more siblings, which we interpret as transmission of family values. Finally, women with a new partner since the first birth as well as women with a new partner since the second birth show higher third birth rates, which might result from a union-confirmation effect of shared children in combination with a two child norm." (author's abstract), "Anhand von Retrospektivdaten des DJI Familiensurvey 2000 untersuchen wir die Einflussfaktoren auf den Übergang vom zweiten zum dritten Kind für westdeutsche Frauen der Geburtskohorten 1944-1979 und stellen sie denen des Übergangs vom ersten zum zweiten Kind gegenüber. Anhand von Ereignisdatenanalysen bestätigen wir die aus früheren Studien bekannten Effekte von Alter und Berufstätigkeit. Wir finden eine höhere Übergangsrate zur dritten Geburt für Frauen mit zwei gleichgeschlechtlichen Kindern, die sich vermutlich noch ein Kind des anderen Geschlechts wünschen. Darüber hinaus finden wir eine höhere Übergangsrate zur dritten Geburt für Frauen, die selbst zwei oder mehr Geschwister haben, was wir als Transmission von Familienwerten interpretieren. Zudem haben Frauen, die seit der Geburt des ersten oder des zweiten Kindes den Partner gewechselt haben, eine höhere Übergangsrate zur dritten Geburt, was unter Umständen auf den Wunsch, die Beziehung durch gemeinsame Kinder zu bestätigen, in Kombination mit einer Zwei-Kind-Norm zurückzuführen ist." (Autorenreferat)
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- 2016
54. The More or the Better? How Sex Contributes to Life Satisfaction
- Author
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Schmiedeberg, Claudia, primary, Huyer-May, Bernadette, additional, Castiglioni, Laura, additional, and Johnson, Matthew D., additional
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- 2016
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55. Beyond the two-child family: Factors affecting second and third birth rates in West Germany
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Schröder, Jette, primary, Schmiedeberg, Claudia, additional, and Brüderl, Josef, additional
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- 2016
- Full Text
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56. Leisure Activities and Life Satisfaction: an Analysis with German Panel Data
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Schmiedeberg, Claudia, primary and Schröder, Jette, additional
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- 2016
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57. Does Sexual Satisfaction Change With Relationship Duration?
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Schmiedeberg, Claudia, primary and Schröder, Jette, additional
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- 2015
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58. Structural convergence of European countries
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Höhenberger, Nicole and Schmiedeberg, Claudia
- Subjects
Structural Convergence ,Wirtschaftswachstum ,O11 ,Neue Außenhandelstheorie ,F14 ,F15 ,Europäische Integration ,Neue ökonomische Geographie ,P27 ,Drei-Sektoren-Hypothese ,European Integration ,ddc:330 ,EU-Staaten ,Entwicklungskonvergenz ,Economic Development - Abstract
Building on the three-sector-hypothesis, the New Theory of Trade, and the New Economic Geography, we investigate the development of economic structures of European countries over the last three decades using employment data. We test for structural convergence which we analyze on the aggregate level as well as specifically for manufacturing and service industries. For this we implement both time series and panel data methods. Our results indicate overall structural convergence between Western European countries over time. This is mainly due to strong intersectoral convergence patterns as countries shift from industrialized to service economies. In contrast, the results regarding intrasectoral convergence are mixed: Increasing spatial concentration in production is dominant in technology-intensive manufacturing industries which are characterized by economies of scale and path-dependency, whereas convergence is found in mature, less technology-intensive industries. In most service branches country-specific differences do not change to a significant extent with the exception of transport and storage services.
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- 2008
59. Does Weather Really Influence the Measurement of Life Satisfaction?
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Schmiedeberg, Claudia, primary and Schröder, Jette, additional
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- 2013
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60. Evaluation of Cluster Policy: A Methodological Overview
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Schmiedeberg, Claudia, primary
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- 2010
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61. The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report
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Breznau, Nate, Rinke, Eike Mark, Wuttke, Alexander, Adem, Muna, Adriaans, Jule, Alvarez-Benjumea, Amalia, Andersen, Henrik, Auer, Daniel, Azevedo, Flavio, Bahnsen, Oke, Balzer, Dave, Bauer, Gerrit, Bauer, Paul, Baumann, Markus, Baute, Sharon, Benoit, Verena, Berning, Carl, Bernauer, Julian, Berthold, Anna, Bethke, Felix, Biegert, Thomas, Blinzler, Katharina, Blumenberg, Johannes, Bol, Thijs, Bobzien, Licia, Bohman, Andrea, Bostic, Amie, Brzozowska, Zuzanna, Burgdorf, Katharina, Burger, Kaspar, Busch, Kathrin, Castillo, Juan Carlos, Chan, Nathan, Christmann, Pablo, Connelly, Roxanne, Czymara, Christian, Damian, Elena, Edelmann, Achim, Ecker, Alejandro, Eger, Maureen A., Ellerbrock, Simon, Forke, Anna, Forster, Andrea, Gavras, Konstantin, Gayle, Vernon, Gaasendam, Chris, Gessler, Theresa, Gnambs, Timo, Godefroidt, Amélie, Greinert, Alexander, Groß, Martin, Grömping, Max, Gruber, Stefan, Gummer, Tobias, Hadjar, Andreas, Heisig, Jan Paul, Hellmeier, Sebastian, Heyne, Stefanie, Hirsch, Magdalena, Hjerm, Mikael, Hochman, Oshrat, Hövermann, Andreas, Huth, Nora, Hunger, Sophia, Hunkler, Christian, Ignacz, Zsofia, Jacobs, Laura, Jacobsen, Jannes, Jaeger, Bastian, Jungkunz, Sebastian, Jungmann, Nils, Kauff, Mathias, Kleinert, Manuel, Klinger, Julia, Kolb, Jan-Philipp, Kolczynska, Marta, Kuk, John, Kunißen, Katharina, Kurti, Dafina, Lersch, Philipp M., Löbel, Lea-Maria, Lutscher, Philipp, Mader, Matthias, Madia, Joan Eliel, Malancu, Natalia Cornelia, Maldonado, Luis, Marahrens, Helge, Martin, Nicole, Martinez, Paul, Mayerl, Jochen, Mayorga, Oscar Jose, Mcmanus, Patricia, Meeusen, Cecil, Meierrieks, Daniel, Mellon, Jonathan, Merhout, Friedolin, Merk, Samuel, Meyer, Daniel, Micheli, Leticia, Mijs, Jonathan, Moya, Cristóbal, Neunhoeffer, Marcel, Nüst, Daniel, Nygård, Olav, Ochsenfeld, Fabian, Otte, Gunnar, Pechenkina, Anna, Prosser, Christopher, Raes, Louis, Ralston, Kevin, Ramos, Miguel, Roets, Arne, Rogers, Jonathan, Ropers, Guido, Samuel, Robin, Sand, Gergor, Schachter, Ariela, Schaeffer, Merlin, Schieferdecker, David, Schlueter, Elmar, Schmidt, Katja, Schmidt, Regine, Schmidt-Catran, Alexander, Schmiedeberg, Claudia, Schneider, Jürgen, Schoonvelde, Martijn, Schulte-Cloos, Julia, Schumann, Sandy, Schunck, Reinhard, Schupp, Juergen, Seuring, Julian, Silber, Henning, Sleegers, Willem, Sonntag, Nico, Staudt, Alexander, Steiber, Nadia, Steiner, Nils, Sternberg, Sebastian, Stiers, Dieter, Striessnig, Erich, Stojmenovska, Dragana, Storz, Nora, Stroppe, Anne-Kathrin, Teltemann, Janna, Tibajev, Andrey, Tung, Brian B., Vagni, Giacomo, Assche, Jasper, Linden, Meta, Noll, Jolanda, Hootegem, Arno, Vogtenhuber, Stefan, Voicu, Bogdan, Wagemans, Fieke Maria Antoinet, Wagner, Kyle, Wehl, Nadja, Werner, Hannah, Wiernik, Brenton M., Winter, Fabian, Wolf, Christof, Zakula, Björn, Ziller, Conrad, Zins, Stefan, Zhang, Nan, and Tomasz Żółtak
62. Collecting Event History Data with a Panel Survey: Combining an Electronic Event History Calendar and Dependent Interviewing
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Brüderl, Josef, Laura Castiglioni, Ludwig, Volker, Pforr, Klaus, and Schmiedeberg, Claudia
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Event History Calendar ,dependent interviewing ,seam effect ,Fragebogen ,Federal Republic of Germany ,family research ,lcsh:Social Sciences ,Dependent Interviewing ,Seam Effect ,Panel Survey ,Questionnaire Design ,panel survey ,event history calender ,questionnaire design ,data quality ,Datengewinnung ,Social sciences, sociology, anthropology ,lcsh:Statistics ,lcsh:HA1-4737 ,Erhebungstechniken und Analysetechniken der Sozialwissenschaften ,Sozialwissenschaften, Soziologie ,Datenqualität ,questionnaire ,dependant interviewing ,longitudinal study ,interview ,Bundesrepublik Deutschland ,Längsschnittuntersuchung ,data capture ,lcsh:H ,Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods ,ddc:300 ,Panel ,Familienforschung - Abstract
Many panel surveys collect event history data on events occurring between two waves. This is usually done by asking lists of questions on the various changes that took place between interviews (Q-Lists). Recently, some panel surveys introduced a different data collection method: the Event History Calendar (EHC), credited for collecting more accurate data. However, even the use of an EHC cannot prevent the issue that events tend to be reported spuriously at the seam of consecutive waves (seam effect). On the other hand, research has shown that dependent interviewing (DI) can help reduce this seam effect. Thus, the combination of EHC and DI (DI-EHC) promises to provide more accurate event history data that are not plagued by a seam effect. The German Family Panel pairfam was one of the first panel studies to use DI-EHC. In this article we first report on the practical aspects and the pros and cons of DI-EHC. Further, we report the results of an experiment in which we test whether DI-EHC reduces the seam effect. In sum our practical experiences and the results of our experiment indicate that the instrument is less burdensome than traditional Q-Lists and produces more accurate data. In particular, DI-EHC reduces the seam effect significantly., methods, data, analyses, Vol 11, No 1 (2017)
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63. Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty
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Breznau, Nate, Rinke, Eike Mark, Wuttke, Alexander, Nguyen, Hung H.V., Adem, Muna, Adriaans, Jule, Alvarez-Benjumea, Amalia, Andersen, Henrik K., Auer, Daniel, Azevedo, Flavio, Bahnsen, Oke, Balzer, Dave, Bauer, Gerrit, Bauer, Paul C., Baumann, Markus, Baute, Sharon, Benoit, Verena, Bernauer, Julian, Berning, Carl, Berthold, Anna, Bethke, Felix S., Biegert, Thomas, Blinzler, Katharina, Blumenberg, Johannes N., Bobzien, Licia, Bohman, Andrea, Bol, Thijs, Bostic, Amie, Brzozowska, Zuzanna, Burgdorf, Katharina, Burger, Kaspar, Busch, Kathrin B., Carlos-Castillo, Juan, Chan, Nathan, Christmann, Pablo, Connelly, Roxanne, Czymara, Christian S., Damian, Elena, Ecker, Alejandro, Edelmann, Achim, Eger, Maureen A., Ellerbrock, Simon, Forke, Anna, Forster, Andrea, Gaasendam, Chris, Gavras, Konstantin, Gayle, Vernon, Gessler, Theresa, Gnambs, Timo, Godefroidt, Amélie, Grömping, Max, Groß, Martin, Gruber, Stefan, Gummer, Tobias, Hadjar, Andreas, Heisig, Jan Paul, Hellmeier, Sebastian, Heyne, Stefanie, Hirsch, Magdalena, Hjerm, Mikael, Hochman, Oshrat, Hövermann, Andreas, Hunger, Sophia, Hunkler, Christian, Huth, Nora, Ignácz, Zsófia S., Jacobs, Laura, Jacobsen, Jannes, Jaeger, Bastian, Jungkunz, Sebastian, Jungmann, Nils, Kauff, Mathias, Kleinert, Manuel, Klinger, Julia, Kolb, Jan Philipp, Kołczyńska, Marta, Kuk, John, Kunißen, Katharina, Kurti Sinatra, Dafina, Langenkamp, Alexander, Lersch, Philipp M., Löbel, Lea Maria, Lutscher, Philipp, Mader, Matthias, Madia, Joan E., Malancu, Natalia, Maldonado, Luis, Marahrens, Helge, Martin, Nicole, Martinez, Paul, Mayerl, Jochen, Mayorga, Oscar J., McManus, Patricia, McWagner, Kyle, Meeusen, Cecil, Meierrieks, Daniel, Mellon, Jonathan, Merhout, Friedolin, Merk, Samuel, Meyer, Daniel, Micheli, Leticia, Mijs, Jonathan, Moya, Cristóbal, Neunhoeffer, Marcel, Nüst, Daniel, Nygård, Olav, Ochsenfeld, Fabian, Otte, Gunnar, Pechenkina, Anna O., Prosser, Christopher, Raes, Louis, Ralston, Kevin, Ramos, Miguel R., Roets, Arne, Rogers, Jonathan, Ropers, Guido, Samuel, Robin, Sand, Gregor, Schachter, Ariela, Schaeffer, Merlin, Schieferdecker, David, Schlueter, Elmar, Schmidt, Regine, Schmidt, Katja M., Schmidt-Catran, Alexander, Schmiedeberg, Claudia, Schneider, Jürgen, Schoonvelde, Martijn, Schulte-Cloos, Julia, Schumann, Sandy, Schunck, Reinhard, Schupp, Jürgen, Seuring, Julian, Silber, Henning, Sleegers, Willem, Sonntag, Nico, Staudt, Alexander, Steiber, Nadia, Steiner, Nils, Sternberg, Sebastian, Stiers, Dieter, Stojmenovska, Dragana, Storz, Nora, Striessnig, Erich, Stroppe, Anne Kathrin, Teltemann, Janna, Tibajev, Andrey, Tung, Brian, Vagni, Giacomo, Van Assche, Jasper, van der Linden, Meta, van der Noll, Jolanda, Van Hootegem, Arno, Vogtenhuber, Stefan, Voicu, Bogdan, Wagemans, Fieke, Wehl, Nadja, Werner, Hannah, Wiernik, Brenton M., Winter, Fabian, Wolf, Christof, Yamada, Yuki, Zhang, Nan, Ziller, Conrad, Zins, Stefan, Żółtak, Tomasz, Breznau, Nate, Rinke, Eike Mark, Wuttke, Alexander, Nguyen, Hung H.V., Adem, Muna, Adriaans, Jule, Alvarez-Benjumea, Amalia, Andersen, Henrik K., Auer, Daniel, Azevedo, Flavio, Bahnsen, Oke, Balzer, Dave, Bauer, Gerrit, Bauer, Paul C., Baumann, Markus, Baute, Sharon, Benoit, Verena, Bernauer, Julian, Berning, Carl, Berthold, Anna, Bethke, Felix S., Biegert, Thomas, Blinzler, Katharina, Blumenberg, Johannes N., Bobzien, Licia, Bohman, Andrea, Bol, Thijs, Bostic, Amie, Brzozowska, Zuzanna, Burgdorf, Katharina, Burger, Kaspar, Busch, Kathrin B., Carlos-Castillo, Juan, Chan, Nathan, Christmann, Pablo, Connelly, Roxanne, Czymara, Christian S., Damian, Elena, Ecker, Alejandro, Edelmann, Achim, Eger, Maureen A., Ellerbrock, Simon, Forke, Anna, Forster, Andrea, Gaasendam, Chris, Gavras, Konstantin, Gayle, Vernon, Gessler, Theresa, Gnambs, Timo, Godefroidt, Amélie, Grömping, Max, Groß, Martin, Gruber, Stefan, Gummer, Tobias, Hadjar, Andreas, Heisig, Jan Paul, Hellmeier, Sebastian, Heyne, Stefanie, Hirsch, Magdalena, Hjerm, Mikael, Hochman, Oshrat, Hövermann, Andreas, Hunger, Sophia, Hunkler, Christian, Huth, Nora, Ignácz, Zsófia S., Jacobs, Laura, Jacobsen, Jannes, Jaeger, Bastian, Jungkunz, Sebastian, Jungmann, Nils, Kauff, Mathias, Kleinert, Manuel, Klinger, Julia, Kolb, Jan Philipp, Kołczyńska, Marta, Kuk, John, Kunißen, Katharina, Kurti Sinatra, Dafina, Langenkamp, Alexander, Lersch, Philipp M., Löbel, Lea Maria, Lutscher, Philipp, Mader, Matthias, Madia, Joan E., Malancu, Natalia, Maldonado, Luis, Marahrens, Helge, Martin, Nicole, Martinez, Paul, Mayerl, Jochen, Mayorga, Oscar J., McManus, Patricia, McWagner, Kyle, Meeusen, Cecil, Meierrieks, Daniel, Mellon, Jonathan, Merhout, Friedolin, Merk, Samuel, Meyer, Daniel, Micheli, Leticia, Mijs, Jonathan, Moya, Cristóbal, Neunhoeffer, Marcel, Nüst, Daniel, Nygård, Olav, Ochsenfeld, Fabian, Otte, Gunnar, Pechenkina, Anna O., Prosser, Christopher, Raes, Louis, Ralston, Kevin, Ramos, Miguel R., Roets, Arne, Rogers, Jonathan, Ropers, Guido, Samuel, Robin, Sand, Gregor, Schachter, Ariela, Schaeffer, Merlin, Schieferdecker, David, Schlueter, Elmar, Schmidt, Regine, Schmidt, Katja M., Schmidt-Catran, Alexander, Schmiedeberg, Claudia, Schneider, Jürgen, Schoonvelde, Martijn, Schulte-Cloos, Julia, Schumann, Sandy, Schunck, Reinhard, Schupp, Jürgen, Seuring, Julian, Silber, Henning, Sleegers, Willem, Sonntag, Nico, Staudt, Alexander, Steiber, Nadia, Steiner, Nils, Sternberg, Sebastian, Stiers, Dieter, Stojmenovska, Dragana, Storz, Nora, Striessnig, Erich, Stroppe, Anne Kathrin, Teltemann, Janna, Tibajev, Andrey, Tung, Brian, Vagni, Giacomo, Van Assche, Jasper, van der Linden, Meta, van der Noll, Jolanda, Van Hootegem, Arno, Vogtenhuber, Stefan, Voicu, Bogdan, Wagemans, Fieke, Wehl, Nadja, Werner, Hannah, Wiernik, Brenton M., Winter, Fabian, Wolf, Christof, Yamada, Yuki, Zhang, Nan, Ziller, Conrad, Zins, Stefan, and Żółtak, Tomasz
- Abstract
This study explores how researchers' analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers' expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each team's workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers' results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings.
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