Prof. Dr. Natalja Menold

© Michael Kretzschmar

Chair of Methods in Empirical Social Research

Name

Ms Prof. Dr. Natalja Menold

Managing Director

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Organization Name

Institute of Sociology

Institute of Sociology

Address work

Visiting address:

ABS, Haus 116 ("Blaues Haus"), FAL 211 August-Bebel-Straße 30

01219 Dresden

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work Tel.

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 should register for consultation hours via this OPAL course.

Curriculum Vitae

Research interests

Measurement theory, measurement equivalence, measurement quality in empirical social research, questionnaire construction, response 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 comparisons, media analysis, harmonization of survey data, attitudes towards surveys

Further scientific activities

Publications

*listed in SSCI

**listed in Scopus

Monographs/Edited Works/Special Issues

Menold, N., & Wolbring, T. (Eds.) (2019) Quality assurance of social science survey instruments. 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). Measurement quality in survey research from the perspective of total survey error using the example of the effects of rating scales and the interviewer. Unpublished framework chapter for publication-based habilitation.

P. Winker, Menold, N. & Porst, R. (Eds.) (2013). Interviewers' deviations - impact, reasons, detection and prevention. Peter Lang: Frankfurt am Main.

Menold, N. (2006). Knowledge integration and action in groups. Promoting planning and decision-making processes in the context of computer-supported cooperation. Wiesbaden: Deutscher Universitäts-Verlag.

Peer-reviewed journal articles

Bethäuser, J., Menold, N., & Winker, P. (2025). How survey results are reported in the media: A framework on selection mechanisms and a pilot study on reporting practice. PLoS ONE, 20(10). https://doi. org/10.1371/journal.pone.0333066

*Menold, N. (2025). Effect of Cognitive Pretests on Measurement Invariance and Reliability in Quality of Life Measures: An Evaluation in Refugee Studies. Social Indicators Research, 179(1), 527-548. https://doi.org/10.1007/s11205-025-03622-w (IF: 2.8).

*Menold, N., Hadler, P., & Neuert, C. (2025). Improving Cross-Cultural Comparability of Measures on Gender and Age Stereotypes by Means of Piloting Methods. Sociological Methods & Research, 0(0). https://doi.org/10.1177/00491241241307600 (IF: 6.5)

*Züger, A., Mathies, V., Mehlis, K., Pauge, S., Richter, L., Surmann, B., Greiner, W., Ernst, T., Menold, N & Winkler, E. (2025). Self-reported determinants for subjective financial distress: a qualitative interview study with German cancer patients. BMJ open, 15(1), e081432 (IF: 2.4)

*Richter, L., Pauge, S., Mehlis, K., Zueger, A., Surmann, B., Mathies, V., Greiner, W., Ernst, T., Winkler, E., Menold, N. (2024). Measuring Financial Distress in German Cancer Patients: Development and Validation of the Financial Distress of Cancer Assessment Tool (FIAT). ESMO Open. https://doi. org/10.1016/j.esmoop.2024.103992 (IF: 7.1)

*Schröder, J., Kapidzic, S., Silber, H., Keusch, F., Menold, N., & Beuthner, C. (2024). Linking survey and Facebook data: mechanisms of consent and linkage. International Journal of Social Research Methodology, 1-13, DOI: https://doi.org/10.1080/13645579.2024.2391959 (IF: 3.9)

Richter, L. & Menold, N. (2024). The Effect of Operationalization on the Correlation between Objective and Subjective Socioeconomic Status: A Systematic Review and Meta-Analysis. Survey Methods: Insights from the Field, DOI: 10.13094/SMIF-2024-00009

*Neumann, R., Brust, O., Kadel, J., von Hermanni, H., & Menold, N. (2024). Scientific Advice and the COVID-19 Pandemic: Revisiting the Asian Disease Problem. International Journal of Public Opinion Research, 36 (2), edae021, https://doi.org/10.1093/ijpor/edae021 (IF: 1.9)

*Menold, N., & Toepoel, V. (2024). Do Different Devices Perform Equally Well with Different Numbers of Scale Points and Response Formats? A test of measurement invariance and reliability. Sociological Methods & Research, 53(2), 898-939. https://doi.org/10.1177/00491241221077237 (IF: 6.5)

*Raykov, T., Marcoulides, G. A., & Menold, N. (2024). Bayesian Maximum Reliability Evaluation Using Latent Variable Modeling. Applied Measurement in Education, 37(2), 165-176. https://doi.org/10.1080/08957347.2024.2345591 (IF: 1.1)

*Raykov, T., DiStefano, C., & Menold, N. (2024). Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 31(5), 882-890. https://doi.org/10.1080/10705511.2023.2292959 (IF: 2.5)

*Raykov, T., Marcoulides, G. A., & Menold, N. (2024). Coefficient alpha and reliability of communication science measurement scales: A note on Hayes and Coutts. Communication Methods and Measures, 18(3), 205-218. https://doi.org/10.1080/19312458.2024.2302125 (IF: 6.3)

*Raykov, T., Marcoulides, G., Anthony, J., & Menold, N. (2024). Evaluating Cronbach's Coefficient Alpha and Testing Its Identity to Scale Reliability: A Direct Bayesian Confirmatory Factor Analysis Procedure. Measurement: Interdisciplinary Research and Perspectives, 22(1), 78-89. https://doi.org/10.1080/15366367.2023.2201963 (IF: 0.6)

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)

*Menold, N., & Raykov, T. (2022). On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments. Educational and Psychological Measurement, 82(2), 356-375. https://doi.org/10.1177/0013164420988169 (IF:3.09)

* Menold, N., & Toepoel, V. (2022). Do Different Devices Perform Equally Well with Different Numbers of Scale Points and Response Formats? A test of measurement invariance and reliability. Sociological Methods & Research. https://doi.org/10.1177/00491241221077237 (IF: 6.9).

Raykov, T., Menold, N., & Leer, J. (2022). 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, 82(3), 568-579. https://doi.org/10.1177/00131644211008643 (IF: 3.09)

*Pauge, S., Surmann, B., Mehlis, K., Zueger, A., Richter, L., Menold, N., Greiner, W., & Winkler, E. C. (2021). Patient-Reported Financial Distress in Cancer: A Systematic Review of Risk Factors in Universal Healthcare Systems. Cancers, 13(19), 5015. https://doi.org/10.3390/cancers13195015 (IF: 6.64)

Raykov, T., Huber, C., Marcoulides, G. A., Pusic, M., & Menold, N. (2021). Evaluation of Response Probabilities along Studied Latent Dimensions: A Polytomous Item Extension. Measurement: Interdisciplinary Research and Perspectives, 19(3), 179-185. https://doi.org/10.1080/15366367.2021.1923318

*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. https://doi.org/10.2478/jos-2020-0041 (Impact Factor: 0.85)

*Stadmüller, S., Menold, N., Schröder, J. & Ehlers, S. (2020). Obstacles and potential for improvement in the diagnosis and treatment of asylum-seeking tuberculosis patients in Germany - results of a qualitative study. The health care system. (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 learned from the REHEAL Study. Journal of Refugee Studies, 32(Special_Issue_1), i105-i121. doi: 10.1093/jrs/fez045 (Impact Factor: 1.4)

**Biddle, L., Menold, N., Bentner, M., Nöst, S., Jahn, R., Ziegler, S., & Bozorgmehr, K. (2019). Health monitoring among asylum seekers and refugees: a statewide, cross-sectional, population-based study in Germany. Emerging Themes in Epidemiology, 16(1), 3. https://doi.org/10.1186/s12982-019-0085-2

*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). Quality standards for the development, application and evaluation of measurement instruments in social science survey research. 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); published as Open Access

Menold, N. & Zuell. C. (2011). Standardized recording of reasons for refusal in face-to-face surveys, Methoden - Daten - Analysen, 1, 91-108; Open Access

*Steinheider, B., Bayerl, S., Menold, N. & Bromme, R. (2009). Development and validation of a scale for the assessment of knowledge integration problems in interdisciplinary project teams [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). Metaknowledge as a prerequisite for knowledge sharing and cooperation in knowledge management. Journal of Media Psychology, 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., Hadler, P., & Neuert, C.-E. (preprint). Improving Cross-Cultural Comparability of Measures on Gender and Age Stereotypes by Means of Piloting Methods. Doi: 10.31124/advance.21716483

Menold, N., Biddle, L., Hermanni, H. von, Kadel, J., & Bozorgmehr, K. (2023, preprint). Reducing Cross-Cultural Comparability Bias Obtained with Measurement Invariance Analysis by Means of Anchoring Vignettes in Heterogeneous Refugee Samples. https://doi.org/10.1101/2023.02.17.23286077

Richter, Luise, Pauge, Sophie, Mehlis, Katja, Surmann, Bastian, Züger, Andrea, Mathies, Viktoria, Ernst, Thomas, Greiner, Wolfgang, Menold, Natalja, & Winkler, Eva C. (2022). Financial Effects of a Tumor Disease - Development and Validation of a Patient Reported Outcome Measure in Germany: Study Protocol. Zenodo. https://doi.org/10.5281/zenodo.6868183

von Hermanni, H.; Kadel, J.; Neumann, R.; Brust, O.; & Menold, N. (in press). Everyone on board? On the acceptance of government measures in the context of the Covid-19 crisis. In Reuband, K.-H. (Ed.), Dresden in transition (pp. ). Thelem: Dresden

Menold, N. (2019). Effects of verbalizing rating scales on measurement quality: A research synthesis. In N. Menold & T. Wolbring (Eds.). Quality assurance of social science survey instruments (pp. 103-132). Wiesbaden: Springer VS.

Krebs, D., & Menold, N. (2019). Quality criteria of quantitative social research. In Handbook of methods of empirical social research (pp. 489-504). Wiesbaden: Springer VS.

Züll, C., & Menold, N. (2019). Open questions. In Handbook of methods of empirical social research (pp. 855-862). Wiesbaden: Springer VS.

Lenzner, T., Neuert, C., Hadler, P., Sarafoglou, A., & Menold, N. (2019). False consensus opinions in politics: Cognitive online pretest. GESIS: Pretesting database.

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). Cologne: GESIS - Leibniz Institute for the Social Sciences. 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). Written survey. In P. Patze-Diordiychuk, J. Smettan, P. Renner & T. Föhr (Eds.) Methodenhandbuch Bürgerbeteiligung: Planning participation processes successfully (pp. 74-89). Munich: oekom.

Neuert, C., Otto, W., Stiegler, A. Beitz, C., Schmidt, R., Meitinger, C., Menold, N. (2017). SHARE Gatekeeper Project: Cognitive pretest. Report.

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). Employment survey: Cognitive pretest. Report, doi: http://dx.doi.org/10.17173/pretest39.

Lenzner, T., Neuert, C., Beitz, C., Gebhardt, S., Menold, N. (2016). ILLICID - Illegal Trafficking in Cultural Property in Germany 2016: Cognitive Pretest, Report.

Neuert, C., Lenzner, T., Beitz, C., Gebhardt, S., Otto, W., Menold, N. (2016). Instrument development at the beginning of a partnership (pairfam): Online cognitive pretest. doi: http://dx.doi.org/10.17173/pretest19.

Menold, N. & Bogner, K. (2015). Design of rating scales in questionnaires. Mannheim, GESIS - Leibniz Institute for the Social Sciences, 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). Written survey. Mannheim, GESIS - Leibniz Institute for the Social Sciences, GESIS Survey Guidelines, doi: 10.15465/gesis-sg_018.

Lenzner, T. & Menold, N. (2015). Question formulation. Mannheim, GESIS - Leibniz Institute for the Social Sciences (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). Quality criteria of quantitative social research. In: J. Blasius & N. Baur (Eds.). Methods of social research (pp. 713-719). Berlin et al: Springer.

Zuell, C. & Menold, N. (2014). Open questions. In: J. Blasius & N. Baur (Eds.). Methods of social research (pp. 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). Quality standards for the development, application and evaluation of measurement instruments in social science survey research. RatSWD Working Papers Series, 230, pp. 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). Response scales in social science surveys: Theoretical models, state of research and research perspectives. In H.-G. Soeffner, (Ed.): Transnational socializations. Proceedings of the 35th Congress of the German Sociological Association 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. February 22-24, 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). Coding reasons for refusal to participate in interviews: a category scheme. Technical Reports, 11, GESIS.

Menold, N. (2008). Knowledge integration in decision-making and planning in groups - Empirical results with possible applications for university planning and decision-making processes. In A. Scholkmann et al. (Eds.), Universität (Mit)Gestalten - Dortmunder Dialoge zum hochschulinternen Wissenstransfer (pp. 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). Methodological and methodological aspects of impact measurement. In P. Sommerfeld & M. Hüttemann (Eds.), Evidence-based Social Work, Vol. 17 Foundations of Social Work (pp. 26 - 39). Baltsmannweiler: Schneider Verlag Hohengehren.

Menold, N. (2005). Self-assessments of the degree of knowledge integration in teams. In E. Kruse, U. Küchler & M. Kuhl (Eds.), Unlimited learning - learning across boundaries? Generation and distribution of knowledge in higher education development (pp. 167-183). Münster et al.: LIT Verlag.

Menold, N. & Kunau, G. (2005). Evaluation and assessment. Work analyses. In Th. Herrmann, L. Schöpe, E. Erkens & M. Hülder (Eds.), Mobile forwarding logistics support (pp. 6-18 - 6-45). Aachen: Shaker Verlag.

Kunau, G. & Menold, N. (2005). Technically supported, cooperative work processes: Participatory design and qualification. In Th. Herrmann, L. Schöpe, E. Erkens & M. Hülder (Eds.), Mobile forwarding logistics support (pp. 4-18 - 4-36). Aachen: Shaker Verlag.

Kunau, G., Menold, N., Herrmann, Th. & Loser K.-U. (2005). Communication processes and documents of software project management from a socio-technical perspective. In A. Frick, G. Kerber & R. Marre (Eds.), Entrepreneurship im Projektmanagement - Beiträge zur Konferenz "interPM" 2005 (pp. 257-276). Heidelberg: dpunkt.

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*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, December 13-15, 2004. Singapore et al.: World Scientific Publishing Co. Pte. Ltd.

Kunau, G., Menold, N., Schöpe, L. & Herrmann, Th. (2004). The Socio-Technical Walkthrough (STWT): A method for the design of socio-technical systems. In Federal Ministry of Education and Research (Ed.), Work in e-business (pp. 69 - 72).

Kunau, G. & Menold, N. (2004). Promoting the shared knowledge base of stakeholders in participatory design and implementation of technical systems using the example of a freight forwarding company. In W. Bungard, B. Koop & Ch. Liebig (Eds.), Psychologie und Wirtschaft leben. Current topics in business psychology in research and practice (pp. 98-105). Mering: Reiner Hampp Verlag.

*Herrmann, Th., Hoffmann, M., Jahnke, I., Kienle, A., Kunau, G., Loser, K.-U. & Menold, N. (2003). Concepts for usable patterns of groupware applications. In M. Pendergast, K. Schmidt, C. Simone & M. Tremaine (Eds.), Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work (pp. 349-358). New York: ACM.

Carell, A. & Menold, N. (2003). Self-direction and knowledge integration in computer supported collaborative processes: lessons learned from two case studies. In XI International Conference Powerful ICT Tools for Teaching and Learning, June 28 - July 1, 2003, St. Petersburg, Russia.

Kienle, A., Menold, N. & Herrmann, Th. (2003). Technical and organizational design options for company-internal knowledge management projects. In Th. Herrmann, P. Mambrey & K. Shire (Eds.), Knowledge genesis, knowledge distribution and knowledge organization in work practice (pp. 109-153). Wiesbaden: Westdeutscher Verlag.

Herrmann, Th., Hoffmann, M., Kienle, A. & Reiband (Menold), N. (2003). Metaknowledge as a prerequisite for cooperative knowledge work and its support through awareness mechanisms. In P. Mambrey, V. Pipek & M. Rohde (Eds.), Knowledge and Learning in Virtual Organizations (pp. 73-96). Heidelberg: Physica-Verlag.

Herrmann, Th., Kienle, A. & Menold, N. (2003). Knowledge management for companies - Shaping the interplay of organization and technology. UniReport Research Reports, 36, 57-60.

Bienzeisler, B., Menold, N. & Mambrey, P. (2003). Knowledge management - Conceptual and conceptual starting points. In Th. Herrmann, P. Mambrey & K. Shire (Eds.), Knowledge genesis, knowledge distribution and knowledge organization in work practice (pp. 29-58). Wiesbaden: Westdeutscher Verlag.

Menold, N., Mill, U. & Zeini, S. (2003). Empirical approaches to surveys and analyses of knowledge work practice. In Th. Herrmann, P. Mambrey & K. Shire (Eds.), Knowledge genesis, knowledge distribution and knowledge organization in work practice (pp. 59-67). Wiesbaden: Westdeutscher Verlag.

Kienle, A., Mambrey, P., Reiband (Menold), N. & Tan, D. (2002). Success factors and obstacles in knowledge management solutions. In S. Schubert, B. Reusch & N. Jesse (Eds.), Informatik bewegt. 32nd Annual Conference of the German Informatics Society (pp. 709-712). Bonn: Lecture Notes in Informatics.

Carell, A., Jahnke, I. & Reiband (Menold), N. (2002). Computer-supported collaborative learning: The importance of participation, knowledge integration and the influence of roles. Journal Hochschuldidaktik,13, 26-35.