A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics
By E. Mooi, Marko Sarstedt. 2011
1,115 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a28bd0c19af927e4b58f4475164f6f1925142e2c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Marko Sarstedt
- Jun-Hwa (Jacky) Cheah
- Joseph F. Hair
- Christian M. Ringle
- Jörg Henseler
- Hiram Ting
- José L. Roldán
- Thurasamy Ramayah
Citations in the corpus
- 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).”
- Partial least squares structural equation modeling in HRM research (2020, methodology): “There are different standards of acceptable VIF values, such as 10.00 (e.g. Sarstedt & Mooi, 2014, Chapter 7), with lower values being better.”
- 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.”
- Latent Profile Analysis (2017, methodology): “We chose the two-step method for the cluster analysis because it has several advantages over k-means (see also Mooi & Sarstedt, 2011; Theodoridis & Koutroumbas, 1999).”
- Cultural intelligence, global mindset, and cross-cultural competencies: a systematic review using bibliometric methods (2020, methodology): “We employed the most common protocol of first applying a hierarchical, connectivity-based clustering method, Ward, followed by a centroid-based cluster procedure, k-means (Mooi and Sarstedt, 2011).”
- A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, methodology): “Second, our results are not due to a certain method’s characteristics, because we used different model estimation techniques.”
- Testing measurement invariance of composites using partial least squares (2016, background): “, 2005), such as acquiescence (i.e. different tendencies regarding agreeing with questions regardless of the question’s content; Sarstedt and Mooi, 2014).”
- When to use and how to report the results of PLS-SEM (2019, background): “Unlike survey measures, which are usually crafted to confirm a well-developed EBR 31,1 6 theory, measures used in secondary data sources are typically not created and refined over time for confirmatory analyses (Sarstedt and Mooi, 2019).”
- Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, unknown): “…response styles (e.g., Johnson et al., 2005), such as acquiescence, i.e. the tendency to agree with questions regardless of their content (Sarstedt and Mooi, 2019); (ii) individual characteristics (e.g., gender, ethnicity, etc.) that entail responding to instruments in systematically…”
- Gain more insight from your PLS-SEM results: The importance-performance map analysis (2016, methodology): “First, the rescaling of the latent variable scores on a range from 0 to 100 requires all indicators in the PLS path model to use a metric or quasi-metric scale (Sarstedt & Mooi, 2014).”