Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction to Market Research Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

3. Data

verfasst von : Erik Mooi, Marko Sarstedt, Irma Mooi-Reci

Erschienen in: Market Research

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In market research, data is critical. Testing, measuring, improving, or creating new goods and services are difficult, or even impossible, without product and customer data. We discuss the different types of data, how they are constructed, and their attributes. We subsequently discuss the advantages and disadvantages of primary and secondary data and what each type allows you to do. We show you how to assess data’s validity and reliability, and discuss the implications that measurement errors can have for your data’s quality. We conclude with a discussion of important concepts, such as population, probability and non-probability sampling, and the relevance of sample size for market research.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel The Market Research Process
Nächstes Kapitel Getting Data
Fußnoten
1
See ESOMAR Global Market Research Report 2013.
 
2
See www.​stata.​com/​support/​faqs/​statistics/​random-samples for details. Stata will be discussed in detail in Chap. 5 and beyond.
 
Literatur
Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–403.CrossRef
Bearden, W. O., Netemeyer, R. G., & Haws, K. L. (2011). Handbook of marketing scales. Multi-item measures for marketing and consumer behavior research (3rd ed.). Thousand Oaks: Sage.CrossRef
Bollen, K. A. (2002). Latent variables in psychology and the social sciences. Annual Review of Psychology, 53(1), 605–634.CrossRef
Bollen, K. A., & Diamantopoulos, A. (2017). In defense of causal-formative indicators: A minority report. Psychological Methods, 22(3), 581–596.
Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York: Wiley.
DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Thousand Oaks: Sage.
Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Advancing formative measurement models. Journal of Business Research, 61(12), 1203–1218.CrossRef
Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: A predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434–449.CrossRef
Erdem, T., & Swait, J. (2004). Brand credibility, brand consideration, and choice. Journal of Consumer Research, 31(1), 191–198.CrossRef
Geyskens, I., Steenkamp, J.-B. E. M., & Kumar, N. (1998). Generalizations about trust in marketing channel relationships using meta-analysis. International Journal of Research in Marketing, 15(3), 223–248.CrossRef
Kaplan, A. (1964). The conduct of inquiry. San Francisco: Chandler.
Kukull, W. A., & Ganguli, M. (2012). Generalizability. The trees, the forest, and the low-hanging fruit. Neurology, 78(23), 1886–1891.CrossRef
Kuppelwieser, V., & Sarstedt, M. (2014). Confusion about the dimensionality and measurement specification of the future time perspective scale. International Journal of Advertising, 33(1), 113–136.CrossRef
Levy, P. S., & Lemeshow, S. (2013). Sampling of populations: Methods and applications (5th ed.). Hoboken: Wiley.
Lindner, J. R., Murphy, T. H., & Briers, G. E. (2001). Handling nonresponse in social science research. Journal of Agricultural Education, 42(4), 43–53.CrossRef
Mitchell, M. L., & Jolley, J. M. (2013). Research design explained (8th ed.). Belmont: Wadsworth.
Moser, C. A., & Stuart, A. (1953). An experimental study of quota sampling. Journal of the Royal Statistical Society. Series A (General), 116(4), 349–405.CrossRef
Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures: Issues and applications. Thousand Oaks: Sage.CrossRef
Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–55.
Sarstedt, M., & Schloderer, M. P. (2010). Developing a measurement approach for reputation of nonprofit organizations. International Journal of Nonprofit and Voluntary Sector Marketing, 15(3), 276–299.
Sarstedt, M., Diamantopoulos, A., Salzberger, T., & Baumgartner, P. (2016a). Selecting single items to measure doubly-concrete constructs: A cautionary tale. Journal of Business Research, 69(8), 3159–3167.CrossRef
Sarstedt, M., Diamantopoulos, A., & Salzberger, T. (2016b). Should we use single items? Better not. Journal of Business Research, 69(8), 3199–3203.CrossRef
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016c). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010.CrossRef
Sarstedt, M., Bengart, P., Shaltoni, A. M., & Lehmann, S. (2017, forthcoming). The use of sampling methods in advertising research: A gap between theory and practice. International Journal of Advertising.
Stephenson, C. B. (1979). Probability sampling with quotas: An experiment. Public Opinion Quarterly, 43(4), 477–496.CrossRef
Metadaten
Titel
Data
verfasst von
Erik Mooi
Marko Sarstedt
Irma Mooi-Reci
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Market Research

Print ISBN: 978-981-10-5217-0

Electronic ISBN: 978-981-10-5218-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-5218-7_3