A Concise Guide to Market Research
By Marko Sarstedt, E. Mooi. Springer Texts in Business and Economics, 2019
1,080 citations recorded by the source corpus.
Subfields: Marketing
View Paper: https://www.semanticscholar.org/paper/d92f36434c21a9dae14ed1b6937b3c4bcfaedf7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Hiram Ting
- Jun-Hwa (Jacky) Cheah
- Marko Sarstedt
- Christian M. Ringle
- José L. Roldán
- Thurasamy Ramayah
- Enrico Ciavolino
- O. Moisescu
Citations in the corpus
- Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform (2018, methodology): “In this work, the k-means clustering algorithm was used, where the appropriate number of clusters k was estimated by means of the Elbow method (Sarstedt and Mooi, 2014; Hackeling, 2014).”
- Teacher emotion regulation strategies in response to classroom misbehavior (2020, background): “We examined if groups of teachers (n = 42) could be identified based on their patterns of trait-level emotional regulation (reappraisal x suppression) through hierarchical cluster analysis (Sarstedt & Mooi, 2014).”
- Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior (2019, methodology): “We use PLS-SEM because it is deemed suitable for investigating new theoretical relationships given its higher statistical power (Sarstedt and Mooi 2019).”
- Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles (2018, methodology): “Levene’s test is used for this research (Mooi & Sarstedt, 2011).”
- Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020, methodology): “Hence, researchers need to have clear frequency or crosstab tables to ensure the number of cases in each cell in the sample is not too small (i.e. Sarstedt & Mooi, 2019, see Chapter 5).”
- Structural model robustness checks in PLS-SEM (2020, methodology): “…the test in a PLS-SEM context, researchers first need to estimate the model and use the resulting construct scores as input for the RESET, which standard software packages, such as Stata (Mooi et al., 2018) and SPSS (for an implementation of the RESET in SPSS, see Sarstedt and Mooi, 2019), execute.”
- Partial least squares structural equation modeling using SmartPLS: a software review (2019, background): “Missing value imputation procedures—albeit limited to mean replacement, casewise replacement, and pairwise replacement without considering more advanced options such as multiple imputation (Sarstedt and Mooi 2019)—and options to generate data groups complement the algorithmic implementations.”