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Original Article

The Instrument for Stress-Oriented Task Analysis (ISTA)

A Meta-Analysis

Published Online:https://doi.org/10.1026/0932-4089/a000312

Abstract. The Instrument for Stress-Oriented Task Analysis (ISTA, Instrument zur stressbezogenen Taetigkeitsanalyse) is a German, action–theory-based instrument to measure stressors and resources in the workplace. In order to examine the psychometric properties of the ISTA variables, we conducted a meta-analysis using the job demands–resources (JD-R) model for construct validation of the instrument. The meta-analysis consisted of a maximum of 58 independent data sets in 51 studies, of which 26 have been published. Based on 565 individual means and standard deviations, 506 reliabilities, and 4,730 correlation coefficients, meta-analytical information was computed. Overall, the instrument showed good psychometric properties: The scale means were close to the theoretical mean of the scales and reliabilities were acceptable to good. The validation hypotheses were examined by analyzing the correlations of ISTA variables (stressors and resources) with psychological strain and well-being. Our hypotheses were largely supported by the data: Stressors were positively related to strain and mostly negatively related to well-being, while resources were mostly positively related to well-being and partly negatively related to strain. Moderation analyses revealed that the two versions of the ISTA, the publication status, the proportion of women, and the industrial sector of the samples had little systematic impact on the means and reliabilities of most ISTA scales as well as on correlations between ISTA scales and of ISTA scales with scales measuring psychological strain and well-being.


Das Instrument zur stressbezogenen Tätigkeitsanalyse ISTA: Eine Meta-Analyse

Zusammenfassung. Das Instrument zur stressbezogenen Tätigkeitsanalyse ISTA ist ein handlungstheoretisch fundiertes Instrument zur Erfassung von Stressoren und Ressourcen am Arbeitsplatz. Zur Bestimmung der psychometrischen Eigenschaften der ISTA-Skalen wurde eine Meta-Analyse durchgeführt. Die Meta-Analyse beinhaltete Stichproben von 58 Studien, von denen 26 publiziert waren, mit einer Gesamtstichprobe von N = 12232 Personen. Auf Basis von 565 beobachteten Mittelwerten und Standardabweichungen, 506 Reliabilitätskoeffizienten und 4730 Korrelationskoeffizienten wurden die meta-analytischen Berechnungen durchgeführt. Für die Konstruktvalidierung des Instruments wurde das Job Demands-Resources-Modell verwendet, um die theoretischen Beziehungen zwischen ISTA-Variablen (Stressoren und Ressourcen) mit psychischen Beeinträchtigungen und Wohlbefinden zu untersuchen. Insgesamt zeigte das Instrument gute psychometrische Eigenschaften: Alle Mittelwerte lagen nah am theoretischen Mittel der Skala und die Reliabilitäten der Skalen war akzeptabel bis gut. Die Konstruktvalidierungshypothesen konnten im Wesentlichen durch die Daten gestützt werden: Stressoren korrelierten positiv mit psychischen Beeinträchtigungen und negativ mit Wohlbefinden, während Ressourcen negativ mit psychischen Beeinträchtigungen und positiv mit Wohlbefinden zusammenhingen. Moderatoranalysen zeigten zudem, dass bei den meisten Skalen nur ein geringer systematischer Einfluss der Version des ISTA, des Publikationsstatus, des Anteils an Frauen oder der Branche auf Mittelwerte und Reliabilitäten der ISTA-Skalen sowie auf Korrelationen zwischen den ISTA-Skalen und Korrelationen der ISTA-Skalen mit Skalen zu psychischen Beeinträchtigungen und Wohlbefinden besteht.

Literatur

  • Baillod, J., & Semmer, N. K. (1994). Fluktuation und Berufsverläufe bei Computerfachleuten [Turnover and career paths of computer specialists]. Zeitschrift für Arbeits- und Organisationspsychologie, 38, 152 – 163. First citation in articleGoogle Scholar

  • Bakker, A. B., & Demerouti, E. (2007). The Job Demands–Resources model: State of the art. Journal of Managerial Psychology, 22, 309 – 328. First citation in articleCrossrefGoogle Scholar

  • Bamberg, E., Mohr, G., & Busch, C. (2012). Arbeitspsychologie [Work psychology]. Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Bruggemann, A., Großkurth, P., & Ulich, E. (1975). Arbeitszufriedenheit [Job Satisfaction]. Bern, Switzerland: Huber. First citation in articleGoogle Scholar

  • Büssing, A., & Glaser, J. (1998). Managerial stress and burnout. In A. Büssing (Ed.), Managerial stress and burnout. A collaborative Study (CISMS). München, Germany: Institut für Psychologie, Universität München. First citation in articleGoogle Scholar

  • Büssing, A., & Perrar, K.-M. (1992). Die Messung von Burnout. Untersuchung einer deutschen Fassung des Maslach Burnout Inventory (MBI-D) [The measurement of Burnout. The study of a German version of the Maslach Burnout Inventory (MBI-D)]. Diagnostica, 38, 328 – 353. First citation in articleGoogle Scholar

  • Caplan, R. D., Cobb, S., French, J. R. P., Harrison, R. van, & Pinneau, S. R. (1975). Job demands and worker health. Washington, DC: National Institute for Occupational Safety and Health (NIOSH). First citation in articleGoogle Scholar

  • Clasen, J. (2012). Instrument zur stressbezogenen Tätigkeitsanalyse bei Freelancern auf Basis des ISTA von Semmer, Zapf und Dunckel [The instrument for stress-oriented task analysis for freelancers based on the ISTA by Semmer, Zapf and Dunkel]. Zeitschrift für Arbeits- und Organisationspsychologie, 56, 123 – 142. First citation in articleLinkGoogle Scholar

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297 – 334. First citation in articleCrossrefGoogle Scholar

  • De Jonge, J., & Schaufeli, W. B. (1998). Job characteristics and employee well-being: A test of Warr’s Vitamin Model in health care workers using structural equation modelling. Journal of Organizational Behavior, 19, 387 – 407. First citation in articleCrossrefGoogle Scholar

  • Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499 – 512. First citation in articleCrossrefGoogle Scholar

  • Dormann, C., Brod, S., & Engler, S. (2017). Demographic change and job satisfaction in service industries – the role of age and gender on the effects of customer-related social stressors on affective well-being. Journal of Service Management Research, 1, 57 – 67. First citation in articleCrossrefGoogle Scholar

  • Dunckel, H. (1985). Mehrfachbelastungen am Arbeitsplatz und psychosoziale Gesundheit [Multiple stresses at the workplace and psycho-social well-being]. Frankfurt, Germany: Peter Lang. First citation in articleGoogle Scholar

  • Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105, 399 – 412. First citation in articleCrossrefGoogle Scholar

  • Elfering, A., Grebner, S., Gerber, H., & Semmer, N. K. (2008). Workplace observation of work stressors, catecholamines and musculoskeletal pain among male employees. Scandinavian Journal of Work, Environment & Health, 35, 337 – 344. First citation in articleCrossrefGoogle Scholar

  • Ferguson, C. J., & Brannick, M. T. (2012). Publication bias in psychological science: Prevalence, methods for identifying and controlling, and implications for the use of meta-analyses. Psychological Methods, 17, 120 – 128. First citation in articleCrossrefGoogle Scholar

  • Frese, M. (1985). Stress at work and psychosomatic complaints: A causal interpretation. Journal of Applied Psychology, 70, 314 – 328. First citation in articleCrossrefGoogle Scholar

  • Frese, M., & Semmer, N. K. (1991). Stressfolgen in Abhängigkeit von Moderatorvariablen: Der Einfluß von Kontrolle und Sozialer Unterstützung [Consequences of stress in dependency of moderators: The influence of control and social support]. In S. GreiE. BamberN. Semmer (Eds.), Psychischer Stress am Arbeitsplatz (pp. 135 – 153). Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Frese, M., & Zapf, D. (1988). : Methodological issues in the study of work stress: Objective vs. subjective measurement of work stress and the question of longitudinal studies. In C. L. CoopeR. Payne (Eds.), Causes, coping, and consequences of stress at work (pp. 375 – 411). Chichester, UK: Wiley. First citation in articleGoogle Scholar

  • Frese, M., & Zapf, D. (1994). Action as the core of work psychology; A German approach. In H. C. TriandiM. D. DunnettL. M. Hough (Eds.), Handbook of industrial and organizational psychology (Vol. 4, pp. 271 – 340). Palo Alto, CA: Consulting Psychologists Press. First citation in articleGoogle Scholar

  • Fried, Y., & Ferris, G. R. (7). The validity of the job characteristics model: A review and meta-analysis. Personnel Psychology, 40, 287 – 322. First citation in articleCrossrefGoogle Scholar

  • Frieling, E., & Hoyos, C. G. (1978). Fragebogen zur Arbeitsanalyse (FAA) [Questionnaire for task analysis]. Bern, Switzerland: Huber. First citation in articleGoogle Scholar

  • Glauber, R. (2012). Women’s work and working conditions: Are mothers compensated for lost wages? Work and Occupations, 39 (2), 115 – 138. First citation in articleCrossrefGoogle Scholar

  • Greif, S., Bamberg, E., & Semmer, N. K. (1991). Psychischer Stress am Arbeitsplatz [Psychological stress at the workplace]. Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Hacker, W. (1973). Allgemeine Arbeits- und Ingenieurpsychologie [General work and engineering psychology]. Berlin, Germany: Deutscher Verlag der Wissenschaft. First citation in articleGoogle Scholar

  • Hacker, W. (1986). Arbeitspsychologie [Work psychology]. Bern, Switzerland: Huber. First citation in articleGoogle Scholar

  • Hacker, W., & Sachse, P. (2014). Allgemeine Arbeitspsychologie. Psychische Regulation von Arbeitstätigkeiten [General work psychology. Psychological regulation of work tasks] (Vol. 3). Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Hackman, J. R., & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison Wesley. First citation in articleGoogle Scholar

  • Häusser, J. A., Mojzisch, A., Niesel, M., & Schulz-Hardt, S. (2010). Ten years on: A review of recent research on the Job Demand–Control (–Support) model and psychological well-being. Work & Stress, 24, 1 – 35. First citation in articleCrossrefGoogle Scholar

  • Hedges, L. V. (1992). Meta-analysis. Journal of Educational Statistics, 17, 279 – 296. First citation in articleCrossrefGoogle Scholar

  • Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6, 307 – 324. First citation in articleCrossrefGoogle Scholar

  • Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage. First citation in articleCrossrefGoogle Scholar

  • Corp., IBM (2011). IBM SPSS Statistics for Windows (Version 20.0). Armonk, NY: IBM Corp. First citation in articleGoogle Scholar

  • Johnson, H. A. M., & Spector, P. E. (2007). Service with a smile: Do emotional intelligence, gender, and autonomy moderate the emotional labor process? Journal of Occupational Health Psychology 12 (4), 319. First citation in articleGoogle Scholar

  • Kahn, R. L., & Byosiere, P. (1992). Stress in organizations. In M. D. DunettL. M. Hough (Eds.), Handbook of industrial and organizational psychology (2nd ed., Vol. 3, pp. 571 – 650). Palo Alto, CA: Consulting Psychologists Press. First citation in articleGoogle Scholar

  • Karasek, R. A. (1979). Job demands, job decision latitude and mental strain: Implications for job redesign. Administrative Science Quarterly, 24, 385 – 408. First citation in articleCrossrefGoogle Scholar

  • Karasek, R. A., & Theorell, T. (1990). Healthy work. Stress, productivity, and the reconstruction of working life. New York, NY: Basic Books. First citation in articleGoogle Scholar

  • Keller, M., Bamberg, E., Kersten, M., & Nienhaus, A. (2013). Validierung des Instruments zur stressbezogenen Arbeitsanalyse für Klinikärztinnen und -ärzte (ISAK) [Validation of the instrument for stress-oriented task analysis for clinicians]. Zeitschrift für Arbeits- und Organisationspsychologie, 57, 3 – 21. First citation in articleLinkGoogle Scholar

  • Keller, A. C., & Semmer, N. K. (2013). Changes in situational and dispositional factors as predictors of job satisfaction. Journal of Vocational Behavior, 83, 88 – 98. First citation in articleCrossrefGoogle Scholar

  • Lang, J., & Zapf, D. (2015). Why introducing quotas for women in boardrooms can help. Gender as a predictor of use of passive job search strategies and the mediating roles of management aspirations, proactivity and professional level. Journal of Personnel Psychology, 14 (3), 131 – 141. First citation in articleLinkGoogle Scholar

  • Lazarus, R. S. (1999). Stress and emotion. A new synthesis. New York, NY: Springer. First citation in articleGoogle Scholar

  • Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer. First citation in articleGoogle Scholar

  • Leitner, K., & Resch, M. G. (2005). Do the effects of job stressors on health persist over time? A longitudinal study with observational stressor measures. Journal of Occupational Health Psychology, 10, 18 – 30. First citation in articleCrossrefGoogle Scholar

  • Leitner, K., Volpert, W., Greiner, B., Weber, W. G., & Hennes, K. (1987). Analyse psychischer Belastung in der Arbeit. Das RHIA-Verfahren [Analysis of psychological strain at work]. Köln, Germany: TÜV Rheinland. First citation in articleGoogle Scholar

  • LePine, J. A., Podsakoff, N. P., & LePine, M. A. (2005). A meta-analytic test of the challenge stressor–hindrance stressor framework: An explanation for inconsistent relationships among stressors and performance. Academy of Management Journal, 48, 764 – 775. First citation in articleCrossrefGoogle Scholar

  • MacKenzie, S. B., Podsakoff, P. M., & Jarvis, C. B. (2005). The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. Journal of Applied Psychology, 90 (4), 710 – 730. First citation in articleCrossrefGoogle Scholar

  • Maslach, C. (1982). Burnout: The cost of caring. Englewood Cliffs, NJ: Prentice-Hall. First citation in articleGoogle Scholar

  • Maslach, C., & Jackson, S. E. (1986). Maslach Burnout Inventory (Vol. 2). Palo Alto, CA: Consulting Psychologists Press. First citation in articleGoogle Scholar

  • McCormick, E. J., Jeanneret, P. R., & Mecham, R. C. (1969). Position analysis questionnaire. West Lafayette, IN: Purdue Research Foundation. First citation in articleCrossrefGoogle Scholar

  • McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah, NJ: Lawrence Erlbaum Associates. First citation in articleGoogle Scholar

  • Meijman, T. F., & Mulder, G. (1998). Psychological aspects of workload. In P. J. DrentH. ThierrC. J. de Wolff (Eds.), Handbook of Work and Organizational Psychology (Vol. 2, pp. 5 – 33). Hove, UK: Psychology Press. First citation in articleGoogle Scholar

  • Mohr, G. (1986). Die Erfassung psychischer Befindensbeeinträchtigungen bei Arbeitern [Assessment of impaired psychological well-being in industrial workers]. Frankfurt am Main, Fermany: Lang. First citation in articleGoogle Scholar

  • Muthén, L. K., & Muthén, B. O. (2017). Mplus User’s Guid e (8th ed.). Los Angeles, CA: Muthén & Muthén. First citation in articleGoogle Scholar

  • Nerdinger, F. W., Blickle, G., & Schaper, N. (2014). Arbeits- und Organisationspsychologie [Work and organizational psychology] (Vol. 2). Berlin, Germany: Springer. First citation in articleGoogle Scholar

  • Pindek, S., & Spector, P. E. (2016). Organizational constraints: A meta-analysis of a major stressor. Work & Stress, 30, 7 – 25. First citation in articleCrossrefGoogle Scholar

  • Raykov, T., West, B. T., & Traynor, A. (2015). Evaluation of coefficient alpha for multiple-component measuring instruments in complex sample designs. Structural Equation Modeling: A Multidisciplinary Journal, 22 (3), 429 – 438. First citation in articleCrossrefGoogle Scholar

  • R Core Team. (2015). R: A language and enviroment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org First citation in articleGoogle Scholar

  • Revelle, W., & Condon, D. M. (2018). Reliability. In P. IrwinT. BootD. Hughes (Eds.), The Wiley-Blackwell handbook of psychometric testing. West Sussex, UK: Blackwell Publishing. First citation in articleGoogle Scholar

  • Rubery, J. (1988). (Ed.). Women and recession. New York, NY and London, UK: Routledge & Kegan Paul. First citation in articleGoogle Scholar

  • Rubin, D. B. (1987). The calculation of posterior distributions by data augmentation: Comment: A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm. Journal of the American Statistical Association, 82 (398), 543 – 546. First citation in articleGoogle Scholar

  • Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293 – 315. First citation in articleCrossrefGoogle Scholar

  • Schaufeli, W. B., Leiter, M. P., Maslach, C., & Jackson, S. E. (1996). Maslach Burnout Inventory – General Survey (MBI-GS). In C. MaslacS. E. JacksonM. P. Leiter (Eds.), Maslach Burnout Inventory manual (Vol. 3). Palo Alto, CA: Consulting Psychologists Press. First citation in articleGoogle Scholar

  • Schewe, A. F., Hülsheger, U. R., & Maier, G. W. (2014). Metaanalyse – praktische Schritte und Entscheidungen im Umsetzungsprozess [Meta-analyis – practical steps and decisions in the applicaton process]. Zeitschrift für Arbeits-und Organisationspsychologie, 58, 186 – 205. First citation in articleLinkGoogle Scholar

  • Schmidt, F. L., Oh, I. S., & Hayes, T. L. (2009). Fixed‐versus random‐effects models in meta‐analysis: Model properties and an empirical comparison of differences in results. British Journal of Mathematical and Statistical Psychology, 62, 97 – 128. First citation in articleCrossrefGoogle Scholar

  • Semmer, N. K. (1984). Stressbezogene Tätigkeitsanalyse [Stress-oriented task analysis]. Weinheim and Basel, Germany/Switzerland: Beltz. First citation in articleGoogle Scholar

  • Semmer, N. K. (1990). Stress und Kontrollverlust [Stress and loss of control]. In F. FreI. Udris (Eds.), Das Bild der Arbeit (pp. 190 – 207). Bern, Switzerland: Huber. First citation in articleGoogle Scholar

  • Semmer, N. K., & Beehr, T. A. (2014). Job control and social aspects of work. In M. C. W. PeeterJ. de JongT. W. Taris (Eds.), An introduction to contemporary work psychology (pp. 144 – 168). Chichester: Wiley-Blackwell. First citation in articleGoogle Scholar

  • Semmer, N. K., & Dunckel, H. (1991). Stressbezogene Arbeitsanalyse [Stress-oriented task analysis]. In S. GreiE. BamberN. K. Semmer (Eds.), Psychischer Stress am Arbeitsplatz (pp. 57 – 90). Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Semmer, N. K., Elfering, A., Baillod, J., Berset, M., & Beehr, T. A. (2014). Push and pull motivations for quitting. Zeitschrift für Arbeits- und Organisationspsychologie, 58, 173 – 185. First citation in articleLinkGoogle Scholar

  • Semmer, N., & Zapf, D. (1989). Validity of various methods of measurement in job analysis. In K. LandaW. Rohmert (Eds.), Recent developments in job analysis. Proceedings of the International Symposium on Job Analysis, University of Hohenheim, March 14 – 15 1989 (pp. 67 – 78). London, UK: Taylor & Francis. First citation in articleGoogle Scholar

  • Semmer, N. K., Zapf, D., & Dunckel, H. (1995). Assessing stress at work: A framework and an instrument. In O. SvanC. Johansen (Eds.), Work and healthscientific basis of progress in the working environment, (pp. 105 – 113). Luxembourg, Luxembourg: Office for Official Publications of the European Communities. First citation in articleGoogle Scholar

  • Semmer, N. K., Zapf, D., & Dunckel, H. (1999). Instrument zur Stressbezogenen Tätigkeitsanalyse (ISTA) [Instrument for stress-oriented task analysis (ISTA)]. In H. Dunkel (Ed.), Handbuch psychologischer Arbeitsanalyseverfahren (pp. 179 – 204). Zürich, Switzerland: vdf Hochschulverlag an der ETH. First citation in articleGoogle Scholar

  • Semmer, N. K., Zapf, D., & Greif, S. (1996). ”Shared job strain”: A new approach for assessing the validity of job stress measurements. Journal of Occupational and Organizational Psychology, 69, 293 – 311. First citation in articleCrossrefGoogle Scholar

  • Shaffer, J. A., DeGeest, D., & Li, A. (2016). Tackling the problem of construct proliferation: A guide to assessing the discriminant validity of conceptually related constructs. Organizational Research Methods, 19 (1), 80 – 110. First citation in articleCrossrefGoogle Scholar

  • Spector, P. E. (2002). Employee control and occupational stress. Current Directions in Psychological Science, 11, 133 – 136. First citation in articleCrossrefGoogle Scholar

  • Spector, P. E., Zapf, D., Chen, P. Y., & Frese, M. (2000). Why negative affectivity should not be controlled in job stress research: Don’t throw out the baby with the bath water. Journal of Organizational Behavior, 21, 79 – 95. First citation in articleCrossrefGoogle Scholar

  • Stiglbauer, B., & Kovacs, C. (2018). The more, the better? Curvilinear effects of job autonomy on well-being from Vitamin Model and PE-Fit Theory perspectives. Journal of Occupational Health Psychology, 23, 520 – 536. First citation in articleCrossrefGoogle Scholar

  • Ulich, E. (2011). Arbeitspsychologie [Work psychology] (Vol. 7). Stuttgart, Germany: Schäffer-Poeschel. First citation in articleGoogle Scholar

  • Viechtbauer, W. (2010a). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36, 1 – 48. First citation in articleCrossrefGoogle Scholar

  • Viechtbauer, W. (2010). b). Meta-Analyse [Meta-analysis]. In H. HollinB. Schmitz (Eds.), Handbuch Statistik, Methoden und Evaluation. Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Volpert, W. (1982). The model of the hierarchical-sequential organization of action. In W. HackeW. VolperM. V. Cranach (Eds.), Cognitive and motivational aspects of action (pp. 35 – 51). Berlin, Germany: Deutscher Verlag der Wissenschaft. First citation in articleGoogle Scholar

  • Wall, T. D., Jackson, P. R., Mullarkey, S., & Parker, S. K. (1996). The demand-control model of job strain: A more specific test. Journal of Occupational and Organizational Psychology, 69, 153 – 166. First citation in articleCrossrefGoogle Scholar

  • Warr, P. (1987). Work, unemployment and mental health. Oxford, UK: Oxford University Press. First citation in articleGoogle Scholar

  • Widmer, P. S., Semmer, N. K., Kälin, W., Jacobshagen, N., & Meier, L. L. (2012). The ambivalence of challenge stressors: Time pressure associated with both negative and positive well-being. Journal of Vocational Behavior, 80, 422 – 433. First citation in articleCrossrefGoogle Scholar

  • Wheeler, D. L., Vassar, M., Worley, J. A., & Barnes, L. B. (2011). A reliability generalization meta-analysis of coefficient alpha for the Maslach Burnout Inventory. Educational and Psychological Measurement 71, 231 – 244. First citation in articleCrossrefGoogle Scholar

  • Zapf, D. (1989). Selbst- und Fremdbeobachtung in der psychologischen Arbeitsanalyse. Methodische Probleme bei der Erfassung von Stress am Arbeitsplatz [Self and expert observation in psychological job analysis. Methodological problems in the measurement of stressors at work]. Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar

  • Zapf, D. (1993). Stress-oriented analysis of computerized office work. European Work and Organizational Psychologist, 3, 85 – 100. First citation in articleCrossrefGoogle Scholar

  • Zapf, D., Bamberg, E., Dunckel, H., Frese, M., Greif, S., Mohr, G., & . . . Semmer, N. K. (1983). Dokumentation der Skalen des Forschungsprojektes ”Psychischer Stress am Arbeitsplatz – Hemmende und fördernde Bedingungen für humanere Arbeitsplätze” [Documentation of the scales of the research project “psychological stress at the workplace – inhibiting and enabling factors for more humane workplaces]. Bonn: Bundesministerium für Forschung und Technologie, Projektträger Humanisierung des Arbeitslebens, Kennzeichen 01 VD 177 – ZA – TAP 0016. First citation in articleGoogle Scholar

  • Zapf, D., Isic, A., Bechtoldt, M., & Blau, P. (2003). What is typical for call centre jobs? Job characteristics, and service interactions in different call centres. European Journal of Work and Organizational Psychology, 12, 311 – 340. First citation in articleCrossrefGoogle Scholar

  • Zapf, D., Seifert, C., Schmutte, B., Mertini, H., & Holz, M. (2001). Emotion work and job stressors and their effects on burnout. Psychology & Health, 16, 527 – 545. First citation in articleCrossrefGoogle Scholar

  • Zapf, D., & Semmer, N. K. (2004). Stress und Gesundheit in Organisationen [Stress and well-being in organizations]. In H. Schuler (Ed.), Organisationspsychologie I – Grundlagen der Personalpsychologie (Enzyklopädie der Psychologie, Themenbereich D Praxisgebiete, Serie III Wirtschafts-, Organisations- und Arbeitspsychologie, Band 3, pp. 1007 – 1112). Göttingen, Germany: Hogrefe. First citation in articleGoogle Scholar