Prof. Dr. Natalja Menold
Chair of Methods in Empirical Social Research
NameMs Prof. Dr. Natalja Menold
Managing Director
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Visiting address:
Bürogebäude Falkenbrunnen, FAL 211 Chemnitzer Straße 46a
01187 Dresden
Office hours:
- Tuesday:
- 13:30 - 14:30
- bis 29.11.2022
Please make an appointment via Email or Phone with susann.heinitz@tu-dresden.de, +49351463-37378
Students, please make appointments for consultations via OPAL.
Curriculum Vitae
since April 2019 | Chair (W3) of Methods in Empirical Social Research, Institute of Sociology, Faculty of Arts, Humanities and Social Science, Technische Universität Dresden |
May 2017 |
Habilitation (venia legendi 'Sozialwissenschaftliche Methodenlehre' (Methodology of Social Sciences)) at University of Mannheim, School of Social Sciences |
April 2011 - March 2012 |
Substitute Chair of Methods in Political Science, Department of Political Science, Justus Liebig University Gießen |
Jan 2007 - March 2019 |
Research Associate at GESIS – Leibniz Institute for the Social Sciences 2008 – 2019: Project consultant 2011 - 2019: Research team leader |
July 2006 |
Doctorate (Dr. phil.) at Dortmund University |
2002 - 2006 |
Doctoral scholarship from the Hans Böckler foundation |
2001 - 2004 |
Research Associate at Dortmund University |
1995 - 2000 |
Study of Psychology at University of Tübingen |
Research interests
Measurement theory, measurement equivalence, measurement quality in empirical social research, questionnaire construction, answer formats, question formulation, cognitive process, interviewer effects, falsification in surveys, use of social media in survey research, informed consent, mixed-mode surveys, surveys of migrants, methods of quality assurance of measurement instruments, intercultural comparison, media analysis, harmonisation of survey data, attitude towards surveys
Further academic activities
since 2019 | Editor-in-chief of Survey Methods: Insights from the Field (SMIF) |
since 2018 | Member of the Scientific Advisory Council of the Education Survey, ifo Institute, Munich |
2017 - 2019 |
Associate Editor of Survey Methods: Insights from the Field (SMIF) |
since 2016 |
Elected member of the Board of Appeal of the Rat der Deutschen Markt- und Sozialforschung (Council of German Market and Social Research) |
2015 - 2019 |
Founder and Responsible Editor of the GESIS Survey Guidelines |
Publications
*listed in SSCI
**listed in Scopus
Monographs/Edited volumes/Special Issues
Menold, N., & Wolbring, T. (Eds.) (2019) Qualitätssicherung sozialwissenschaftlicher Erhebungsinstrumente. Wiesbaden: Springer VS.
*Menold, N., Bluemke, M. & Hubley A. (eds.) (2018). Validity: Challenges in Conception, Methods, and Interpretation in Survey Research. Special Issue, Methodology, European Journal of Research Methods for the Behavioral and Social Sciences, 14(4).
*Menold, N., Bogner, K. & Wolf, Ch. (eds.) (2018). Design Aspects of Rating Scales in Surveys, Special Issue, Mathematical Population Studies, 25 (2).
Menold, N. (2016). Messqualität in der Umfrageforschung aus der Perspektive des Total Survey Error am Beispiel der Effekte der Ratingskalen und des Interviewers. Unveröffentl. Rahmenkapitel zur publikationsbasierten Habilitation.
P. Winker, Menold, N. & Porst, R. (Eds.) (2013). Interviewers’ deviations – impact, reasons, detection and prevention. Peter Lang: Frankfurt am Main.
Menold, N. (2006). Wissensintegration und Handeln in Gruppen. Förderung von Planungs- und Entscheidungsprozessen im Kontext computerunterstützter Kooperation. Wiesbaden: Deutscher Universitäts-Verlag.
Peer reviewed articles in journals
Menold, N., Biddle, L., Hermanni, H. von, Kadel, J., & Bozorgmehr, K. (2023). Ensuring cross-cultural data comparability by means of anchoring vignettes in heterogeneous refugee samples, BMC Medical Research Methodology, https://doi.org/10.1186/s12874-023-02015-2 (IF: 4.0)
*Raykov, T., Anthony, J. C., & Menold, N. (2023). On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha's Utility as a Scale Reliability Index. Educational and Psychological Measurement, 83(4), 766–781. https://doi.org/10.1177/00131644221104972 (IF: 2.70)
*Menold, N. (2023). Verbalization of Rating Scales Taking Account of Their Polarity. Field Methods, 0(0). https://doi.org/10.1177/1525822X231151314 (IF: 1.78)
*Leitgöb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthén, B., Rudnev M., Schmidt, P. & van de Schoot, R. (2022). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research:102805. DOI:10.1016/j.ssresearch.2022.102805 (IF: 2.62)
*Raykov, T., Menold, N., & Leer, J. (2021). Evaluation of Second- and Third-Level Variance Proportions in Multilevel Designs With Completely Observed Populations: A Note on a Latent Variable Modeling Procedure. Educational and Psychological Measurement. https://doi.org/10.1177/00131644211008643 (IF: 2.8)
*Menold, N., & Raykov, T. (2021). On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments. Educational and Psychological Measurement. https://doi.org/10.1177/0013164420988169 (IF: 2.8)
*Menold, N. (2021). Response Bias and Reliability in Verbal Agreement Rating Scales: Does Polarity and Verbalization of the Middle Category Matter? Social Science Computer Review, 39(1), 130–147. https://doi.org/10.1177/0894439319847672 (IF:4.6)
*Menold, N. (2020). Double Barreled Questions: An Analysis of the Similarity of Elements and the Measurement Quality. Journal of Official Statistics, 36 (4), 855-886 doi: https://doi.org/10.2478/jos-2020-0041 (Impact Factor: 0.85)
*Stadmüller, S., Menold, N., Schröder, J. & Ehlers, S. (2020). Hemmnisse und Verbesserungspotenziale bei der Diagnose und der Therapie asylsuchender Tuberkulosepatienten in Deutschland - Ergebnisse einer qualitativen Untersuchung. Das Gesundheitswesen. (Impact Factor: 0.4)
*Menold, N. (2020). Rating Scale Labeling in Online Surveys: An Experimental Comparison of Verbal and Numeric Rating Scales with Respect to Measurement Quality and Respondents’ Cognitive Processes. Sociological Methods and Research, 49 (1), 79-107. doi: 10.1177/0049124117729694 (Impact Factor: 4.5)
*Menold, N. (2020). How Do Reverse-Keyed Items in Inventories Affect Measurement Quality and Information Processing. Field Methods. 32(2) 140-158. doi: 10.1177/1525822X19890827 (Impact Factor: 2.5)
*Stathopoulou, T., Krajčeva, E., Menold, N., & Dept, S. (2019). Questionnaire design and translation for refugee populations: Lessons learnt from the REHEAL Study. Journal of Refugee Studies, 32(Special_Issue_1), i105-i121. doi: 10.1093/jrs/fez045 (Impact Factor: 1.4)
*Raykov, T., Marcoulides, G. A., Menold, N., & Harrison, M. (2019). Revisiting the Bi-Factor Model: Can Mixture Modeling Help Assess Its Applicability? Structural Equation Modeling: A Multidisciplinary Journal, 26(1), 110–118. doi: 10.1080/10705511.2018.1436441 (Impact Factor: 3.1)
*Raykov, T., Marcoulides, G. A., Harrison, M., & Menold, N. (2019). Multiple-Component Measurement Instruments in Heterogeneous Populations: Is There a Single Coefficient Alpha? Educational and Psychological Measurement, 79(2), 399–412. https://doi.org/10.1177/0013164417733305 (Impact Factor: 1.6)
*Raykov, T., Marcoulides, G. A., Menold, N., Li, T., & Zhang, M. (2019). On Examining Intervention Effects Upon Ability Development Using Latent Variable Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 26(2), 291–301. https://doi.org/10.1080/10705511.2018.1485494 (Impact Factor: 3.1)
*Menold, N., Landrock, U., Winker, P., Pellner, N., & Kemper, C. J. (2018). The Impact of Payment and Respondents’ Participation on Interviewers’ Accuracy in Face-to-face Surveys: Investigations from a Field Experiment. Field Methods, 30(4), 295–311. doi:10.1177/1525822X18783977 (Impact Factor: 1.5)
*Bogner, K., Pforr, K., & Menold, N. (2018). Attitude strength moderates adverse effects to questionnaire design. Mathematical Population Studies, 25(2), 99–111. doi:10.1080/08898480.2018.1439244 (Impact Factor: 0.3)
*Eifler, S., & Menold, N. (2018). Linearity, symmetry, and equidistance in semantic differential scales for measuring images of self and images of others. Mathematical Population Studies, 25(2), 82–98. doi:10.1080/08898480.2018.1439242 (Impact Factor: 0.3)
*Raykov, T., Dimitrov, D. M., Marcoulides, G. A., Li, T., & Menold, N. (2018). Examining Measurement Invariance and Differential Item Functioning With Discrete Latent Construct Indicators: A Note on a Multiple Testing Procedure. Educational and Psychological Measurement, 78(2), 343–352. doi:10.1177/0013164416670984 (Impact Factor: 1.6)
*Raykov, T., Menold, N., & Marcoulides, G. A. (2018). Studying Latent Criterion Validity for Complex Structure Measuring Instruments Using Latent Variable Modeling. Educational and Psychological Measurement, 78(5), 905–917. https://doi.org/10.1177/0013164417698017 (Impact Factor: 1.6)
*Raykov, T., Goldammer, P., Marcoulides, G. A., Li, T., & Menold, N. (2018). Reliability of Scales With Second-Order Structure: Evaluation of Coefficient Alpha’s Population Slippage Using Latent Variable Modeling. Educational and Psychological Measurement, 78(6), 1123–1135. https://doi.org/10.1177/0013164417719948 (Impact Factor: 1.6)
*Menold, N. (2017). Rating Scale Labeling in Online Surveys: An Experimental Comparison of Verbal and Numeric Rating Scales with Respect to Measurement Quality and Respondents’ Cognitive Processes. Sociological Methods and Research. doi: 10.1177/0049124117729694 (Impact Factor: 3.6)
**Landrock, U. & Menold, N. (2016). Validation of theoretical assumptions with real and falsified survey data. Journal of the International Association for Official Statistics (IAOS), 32 (3), 305-312. doi: 10.3233/SJI-161020; Open Access
*Menold, N. & Zuell. C. (2016). The effects of interviewers on the collection of reasons for refusals in face-to-face surveys. Methodology, European Journal of Research Methods for the Behavioral and Social Sciences, 12(2), 52-60. doi: 10.1027/1614-2241/a000108 (Impact Factor: 1.1)
Tausch, A. & Menold, N. (2016). Methodological aspects of focus groups in health research - results of qualitative interviews with focus group moderators. Global Qualitative Nursing Research, 3, 1-12. doi: 10.1177/2333393616630466; Open Access
*Menold, N. & Tausch, A. (2016). Measurement of latent variables with different rating scales: testing reliability and measurement equivalence by varying the verbalization and number of categories. Sociological Methods and Research, 45(4) 678-699. doi: 10.1177/0049124115583913 (Impact Factor: 3.6)
*Menold, N. & Raykov, T. (2016). Can reliability of multiple component measuring instruments depend on response option presentation mode? Educational and Psychological Measurement, 76(3), 454–469. doi: 10.1177/0013164415593602 (Impact Factor: 1.6)
*Menold, N. & Kemper, C. J. (2015). The impact of frequency rating scale formats on the measurement of latent variables in web surveys – An experimental investigation using a measure of affectivity as an example. Psihologija, 48(4), 431-449. doi: 10.2298/PSI1504431M (Impact Factor: 0.6)
**Winker, P., Kruse, K.–W., Menold, N. & Landrock, U. (2015). Interviewer effects in real and falsified interviews - results from a large scale experiment. Journal of the International Association for Official Statistics (IAOS),31 (3), 423-434. doi: 10.3233/SJI-150908; Open Access
*Züll, C., Menold, N. & Körber. S. (2015). The influence of the answer box size on item nonresponse to open-ended questions in a web survey. Social Science Computer Review, 33(1), 115-122. doi: 10.1177/0894439314528091(Impact Factor: 2.3)
*Rammstedt, B., Beierlein, C., Brähler, E., Eid, M., Hartig, J., Kersting, M., Liebig, S., Lukas, J. Mayer, A.-K., Menold, N., Schupp, J. & Weichselgartner, E. (2014). Qualitätsstandards zur Entwicklung, Anwendung und Bewertung von Messinstrumenten in der sozialwissenschaftlichen Umfrageforschung. Schmollers Jahrbuch - Zeitschrift für Wirtschafts- und Sozialwissenschaften 134 (4): 517-546. doi: 10.3790/schm.134.4.517 (Impact Factor: 0.6)
*Menold, N. (2014). The influence of sampling method and interviewers on sample realization in the European Social Survey. Survey Methodology, 40 (1), 105-123. (Impact Factor: 0.5)
*Kemper, Ch. J., & Menold, N. (2014). Nuisance or remedy? The utility of stylistic responding as an indicator of data fabrication in surveys. Methodology - European Journal of Research Methods for the Behavioral and Social Sciences, 10(3), 92-99, http://dx.doi.org/10.1027/1614-2241/a000078 (Impact Factor: 1.1)
*Menold, N. & Kemper, Ch. J. (2014). How do real and falsified data differ? Psychology of survey response as a source of falsification indicators in face-to-face surveys. International Journal of Public Opinion Research, 26 (1), 41-65. doi: 10.1093/ijpor/edt017 (Impact Factor: 1.2)
*Menold, N., Kaczmirek, L., Lenzner, T. & Neusar, A. (2014). How do respondents attend to verbal labels in rating scales?. Field Methods, 26 (1): 21-39. doi: 10.1177/1525822X13508270 (Impact Factor: 1.5); als Open Access veröffentlicht
Menold, N. & Zuell. C. (2011). Standardisierte Erfassung von Verweigerungsgründen in face-to-face Umfragen, Methoden – Daten – Analysen, 1, 91-108; Open Access
*Steinheider, B., Bayerl, S., Menold, N. & Bromme, R. (2009). Entwicklung und Validierung einer Skala zur Erfassung von Wissensintegrationsproblemen in interdisziplinären Projektteams [WIP], Zeitschrift für Arbeits- und Organisationspsychologie, 3, 121-130. (Impact Factor: 0.3)
*Menold, N. (2009). How to use information technology for cooperative work: development of shared technological frames. Journal of Computer Supported Cooperative Work CSCW, 1, 47-81. (Impact Factor: 1.6)
*Herrmann, Th., Kienle, A. & Reiband (Menold), N. (2003). Metawissen als Voraussetzung für den Wissensaustausch und die Kooperation beim Wissensmanagement. Zeitschrift für Medienpsychologie, 15, 3-12. (Impact Factor: 1.1)
*Herrmann, Th., Kienle, A. & Reiband (Menold), N. (2003). Meta-knowledge – a success factor for computer-supported organizational learning in companies. Educational Technology & Society, 6, 9-13. (Impact Factor: 1.6)
Further publications
Menold, N. (2019). Effekte der Verbalisierung von Ratingskalen auf die Messqualität: Eine Forschungssynthese. In N. Menold & T. Wolbring (Eds.). Qualitätssicherung sozialwissenschaftlicher Erhebungsinstrumente (S. 103-132). Wiesbaden: Springer VS.
Krebs, D., & Menold, N. (2019). Gütekriterien quantitativer Sozialforschung. In Handbuch Methoden der empirischen Sozialforschung (S. 489–504). Wiesbaden: Springer VS.
Züll, C., & Menold, N. (2019). Offene Fragen. In Handbuch Methoden der empirischen Sozialforschung (S. 855–862). Wiesbaden: Springer VS.
Lenzner, T., Neuert, C., Hadler, P., Sarafoglou, A., & Menold, N. (2019). Falsche Konsensmeinungen in der Politik: Kognitiver Online-Pretest. GESIS: Pretesting Datenbank.
Ramsenthaler, C., Singh, R. K., & Menold, N. (2019). Integrated Data and Survey Infrastructure (IDSI) at GESIS: An overview of survey topics and socio-demographic variables in the survey programs of the IDSI. (GESISPapers, 2019/02). Köln: GESIS - Leibniz-Institut für Sozialwissenschaften. https://nbn-resolving.org/urn:nbn:de:0168-ssoar-61969-3
*Menold, N., Wolf, C., & Bogner, K. (2018). Design aspects of rating scales in questionnaires. Mathematical Population Studies, 25(2), 63–65. doi:10.1080/08898480.2018.1439240 (Impact Factor: 0.3)
Menold, N. (2018). Falsified data in large-scale surveys. In B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 663-665). Thousand Oaks, CA: SAGE Publications Ltd. doi: 10.4135/9781506326139.n257
Menold, N. (2017). Schriftliche Befragung. In P. Patze-Diordiychuk, J. Smettan, P. Renner & T. Föhr (Hrsg.) Methodenhandbuch Bürgerbeteiligung: Beteiligungsprozesse erfolgreich planen (S. 74-89). München: oekom.
Neuert, C., Otto, W., Stiegler, A. Beitz, C., Schmidt, R., Meitinger, C., Menold., N. (2017). SHARE Gatekeeper-Project: Kognitiver Pretest. Bericht.
Menold, N. & Bogner, K. (2016). Design of Rating Scales in Questionnaires. GESIS Survey Guidelines. GESIS – Leibniz Institute for the Social Sciences. doi: http://dx.doi.org/10.15465/gesis-sg_en_015.
Menold, N. (2016). Postal surveys . GESIS Survey Guidelines. GESIS – Leibniz Institute for the Social Sciences. doi: http://dx.doi.org/10.15465/gesis-sg_en_018.
Lenzner, T. & Menold, N. (2016). Question Wording. GESIS Survey Guidelines. GESIS – Leibniz Institute for the Social Sciences. doi: http://dx.doi.org/10.15465/gesis-sg_en_017.
Otto, W., Neuert, C., Stiegler, A., Schmidt, R., Beitz, C., Menold, N. (2016). Erwerbstätigenbefragung: Kognitiver Pretest. Bericht, doi: http://dx.doi.org/10.17173/pretest39.
Lenzner, T., Neuert, C., Beitz, C., Gebhardt, S., Menold, N. (2016). ILLICID – Illegaler Handel mit Kulturgut in Deutschland 2016: Kognitiver Pretest, Bericht.
Neuert, C., Lenzner, T., Beitz, C., Gebhardt, S., Otto, W., Menold, N. (2016). Instrumententwicklung Partnerschaftsbeginn (pairfam): Kognitiver Online-Pretest. doi: http://dx.doi.org/10.17173/pretest19.
Menold, N. & Bogner, K. (2015). Gestaltung von Ratingskalen in Fragebögen. Mannheim, GESIS – Leibniz-Institut für Sozialwissenschaften, GESIS Survey Guidelines, doi: 10.15465/gesis-sg_015.
Landrock, U., Winker, P., Kruse, K.-W. & Menold, N. (2015). Interviewer effects in real and falsified interviews: results from a large scale experiment. In Proceedings of New Techniques and Technologies for Statistics NTTS, Brussels, 10-12/03/2015.
Menold, N. (2105). Schriftliche Befragung. Mannheim, GESIS – Leibniz-Institut für Sozialwissenschaften, GESIS Survey Guidelines, doi: 10.15465/gesis-sg_018.
Lenzner, T. & Menold, N. (2015). Frageformulierung. Mannheim, GESIS – Leibniz-Institut für Sozialwissenschaften (SDM Survey Guidelines). doi:10.15465/gesis-sg_017.
Menold, N., Winker, P., Storfinger, N. & Bredl, S. (2014). Interviewers’ falsifications in face-to-face surveys: impact, reasons, detection and prevention. In Engel et al. (eds). Improving Survey Methods (pp. 86-100). New York: Psychology Press, Taylor & Francis Group.
Krebs, D. & Menold, N. (2014). Gütekriterien quantitativer Sozialforschung. In: J. Blasius & N. Baur (Hrsg.). Methoden der Sozialforschung (S. 713-719). Berlin et al.: Springer.
Zuell, C. & Menold, N. (2014). Offene Fragen. In: J. Blasius & N. Baur (Hrsg.). Methoden der Sozialforschung (S. 425-428). Berlin et al.: Springer.
Rammstedt, B., Beierlein, C., Brähler, E., Eid, M., Hartig, J., Kersting, M., Liebig, S., Lukas, J., Mayer, A.-K., Menold, N., Schupp, J. & Weichselgartner, E. (2014). Qualitätsstandards zur Entwicklung, Anwendung und Bewertung von Messinstrumenten in der sozialwissenschaftlichen Umfrageforschung. RatSWD Working Papers Series, 230, S. 1-37.
Menold, N., Winker, P., Storfinger, N. & Kemper. Ch. J. (2013). A method for ex-post identification of falsifications in survey data. In P. Winker, N. Menold & R. Porst (eds.) Interviewers' deviations in surveys – Impact, Reasons, Detection and Prevention (pp. 25-48). Frankfurt: Peter Lang Academic Research.
Menold, N. & Opper, M. K. (2013). Interviewer experience and “quality” of falsified data. In P. Winker, N. Menold & R. Porst (eds.) Interviewers' deviations in surveys – Impact, Reasons, Detection and Prevention (pp. 161-173). Frankfurt: Peter Lang Academic Research.
Bredl, S., Storfinger, N. & Menold, N. (2013). A literature review of methods to detect fabricated survey data. In P. Winker, N. Menold & R. Porst (eds.) Interviewers' deviations in surveys – Impact, Reasons, Detection and Prevention (pp. 3-24). Frankfurt: Peter Lang Academic Research.
Winker, P., Menold, N., Storfinger, N., Stukowski, S. & Kemper, Ch. J. (2013). A method for ex-post identification of falsifications in survey data. In Proceedings of New Techniques and Technologies for Statistics NTTS 2013. Brussels: EUROSTAT. http://www.cros-portal.eu/sites/default/files/NTTS2013fullPaper_93.pdf.
Menold, N. & Bogner, K. (2012). Antwortskalen in sozialwissenschaftlichen Umfragen: Theoretische Modelle, Stand der Forschung und Forschungsperspektiven. In H.-G. Soeffner, (Hrsg.): Transnationale Vergesellschaftungen. Verhandlungen des 35. Kongresses der Deutschen Gesellschaft für Soziologie in Frankfurt am Main 2010. Wiesbaden: VS Verlag.
Bredl, S., Storfinger, N., & Menold, N. (2011). A literature review of methods to detect fabricated survey data. Discussion Paper 56. ZEU. Giessen.
Menold, N., Storfinger, N. & Winker, P. (2011). Development of a method for ex-post identification of falsifications in survey data. In Proceedings of New Techniques and Technologies for Statistics NTTS 2011. 22-24. February, Brussels: http://www.cros-portal.eu/sites/default/files/S9P4.pdf
Menold, N. & Zuell, C. (2010). Reasons for refusals, their collection in surveys and interviewer impact. GESIS-Working Papers, 11.
Menold, N. & Zuell, C. (2010). Codierung von Gründen der Verweigerung der Teilnahme an Interviews: ein Kategorienschema. Technical Reports, 11, GESIS.
Menold, N. (2008). Wissensintegration beim Entscheiden und Planen in Gruppen –Empirische Ergebnisse mit Anwendungsmöglichkeiten für hochschulische Planungs- und Entscheidungsprozesse. In A. Scholkmann et al. (Hrsg.), Universität (Mit)Gestalten – Dortmunder Dialoge zum hochschulinternen Wissenstransfer (S. 39-53). Münster: Waxmann.
Menold, N. (2008). Assessment of field work documentation by interviewers in ESS. In Proceedings of International Conference on Survey Methods in Multinational, Multiregional, and Multicultural Contexts (3MC), Berlin, Germany.
Menold, N. (2007). Methodische und methodologische Aspekte der Wirkungsmessung. In P. Sommerfeld & M. Hüttemann (Hrsg.), Evidenzbasierte Soziale Arbeit, Bd. 17 Grundlagen der Sozialen Arbeit (S. 26 – 39). Baltsmannweiler: Schneider Verlag Hohengehren.
Menold, N. (2005). Selbsteinschätzungen über den Grad der Wissensintegration in Teams. In E. Kruse, U. Küchler & M. Kuhl (Hrsg.), Unbegrenztes Lernen - Lernen über Grenzen? Generierung und Verteilung von Wissen in der Hochschulentwicklung (S. 167-183). Münster et al.: LIT Verlag.
Menold, N. & Kunau, G. (2005). Evaluierung und Bewertung. Arbeitsanalysen. In Th. Herrmann, L. Schöpe, E. Erkens & M. Hülder (Hrsg.), Mobile Speditionslogistikunterstützung (S. 6-18 - 6-45). Aachen: Shaker Verlag.
Kunau, G. & Menold, N. (2005). Technisch unterstützte, kooperative Arbeitsprozesse: Partizipative Gestaltung und Qualifizierung. In Th. Herrmann, L. Schöpe, E. Erkens & M. Hülder (Hrsg.), Mobile Speditionslogistikunterstützung (S. 4-18 - 4-36). Aachen: Shaker Verlag.
Kunau, G., Menold, N., Herrmann, Th. & Loser K.-U. (2005). Kommunikationsprozesse und Dokumente des Software-Projektmanagements aus sozio-technischer Perspektive. In A. Frick, G. Kerber & R. Marre (Hrsg.), Entrepreneurship im Projektmanagement - Beiträge zur Konferenz “interPM” 2005 (S. 257-276). Heidelberg: dpunkt.
Kunau G. & Menold, N. (2005). Arbeitsanalysen und Tätigkeitsbewertung als Mittel zur Technikgestaltung und -einführung von mobilen Kommunikationssystemen. In Personalmanagement und Arbeitsgestaltung. Bericht zum 51. Kongress der Gesellschaft für Arbeitswissenschaft (S. 553-556). GfA-Press: Dortmund.
*Carell, A., Herrmann, Th., Kienle, A. & Menold, N. (2005). Improving the coordination of collaborative learning with process models. In T. Koschmann, D. Suthers & T. W. Chan (Eds.), Proceedings of CSCL 2005. The next 10 years (pp. 18-27). Mahwah, New Jersey: LEA.
*Herrmann, Th., Kunau, G., Loser, K.-U. & Menold, N. (2004). Sociotechnical Walkthrough: designing technology along work processes. In A. Clement, F. Cindio, A.-M. Oostveen, D. Schuler & P. van den Besselaar (Eds.), Artful integration: interweaving media, materials and practices. Proceedings of the eighth Participatory Design Conference 2004 (pp. 132-141). New York: ACM.
Steinheider, B. & Menold, N. (2004). Knowledge integration problems and their effect on team performance. In Trezzini B., Lambe P & Hawamdeh S. (Eds.), People, knowledge and technology. Proceedings of the First iKMS International Conference on Knowledge Management (pp. 163-173). Singapore, 13.-15. December 2004. Singapore et al.: World Scientific Publishing Co. Pte. Ltd.
Kunau, G., Menold, N., Schöpe, L. & Herrmann, Th. (2004). Der Socio-Technical Walkthrough (STWT): Eine Methode zur Gestaltung sozio-technischer Systeme. In Bundesministerium für Bildung und Forschung (Hrsg.), Arbeit im E-Business (S. 69 – 72).
Kunau, G. & Menold, N. (2004). Förderung der gemeinsamen Wissensbasis der Akteure bei partizipativer Gestaltung und Einführung technischer Systeme am Beispiel eines Speditionsunternehmens. In W. Bungard, B. Koop & Ch. Liebig (Hrsg.), Psychologie und Wirtschaft leben. Aktuelle Themen der Wirtschaftspsychologie in Forschung und Praxis (S. 98-105). Mering: Reiner Hampp Verlag.
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