KMO

(redirected from Kaiser-Meyer-Olkin)
AcronymDefinition
KMOKleine en Middelgrote Ondernemingen (Dutch: Small and Medium Enterprises)
KMOKaiser-Meyer-Olkin (test to assess the appropriateness of using factor analysis on data)
KMOKnowledge Master Open (academic competition)
KMOKnowledge Management Officer (US DoD)
KMOKnowledge Management in Organizations (convention; Maribor, Slovenia)
KMOInternational Conference on Knowledge Management in Organizations (annual conference)
KMOKohler Meyers O'Halloran, Inc. (real estate company; Gresham, OR)
KMOKenya Medical Outreach (Suwanee, GA)
KMOKick Malaria Out (Volunteer Partnerships for West Africa; Ghana)
KMOKnihovna Mesta Ostravy (Czech: Ostrava City Library; Ostrava, Czech Republic)
KMOKonkani Music Online
KMOKunglig Majestäts Orden (Royal Swedish Order of the Seraphim)
KMOKnox Mining Office
KMOKompetenzzentrum für Multimediale Objekte (German: Competence Center for Multimedia Objects)
References in periodicals archive ?
893 for the Kaiser-Meyer-Olkin measure of sampling adequacy and a significant Bartlett's test of Sphericity, there by indicating Principal factor analysis method was appropriate.
The Kaiser-Meyer-Olkin analysis and Bartlett Test were applied prior to an explanatory factor analysis, to test whether the sample was in congruity or not.
Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was highly satisfactory for this analysis (0.
La medida de adecuacion de la muestra de Kaiser-Meyer-Olkin (KMO) y la prueba de esfericidad de Bartlett indicaron la idoneidad de realizar el analisis factorial, presentando la prueba KMO un valor de 0,722 acercandose al grado de significatividad y obteniendose un alto indice de fiabilidad de los cinco elementos del factor Consumo ([alpha] [less than or equal to] 0,737).
Two tests, the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) and Bartlett's Test of Sphericity, were run to determine the appropriateness of including factor analysis in this research.
In order to verify sampling adequacy Kaiser-Meyer-Olkin (KMO) measure was analysed.
000) and Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was 0.
89) en la varianza explicada entre las variables segun la prueba Kaiser-Meyer-Olkin, por lo que los reactivos fueron considerados para los analisis posteriores (ver Tabla 1).
The benchmark of the Kaiser-Meyer-Olkin Measure is 0.
In addition, a difference analysis was performed for the attention areas of different drivers, and a Kaiser-Meyer-Olkin test was performed to determine the data validity.
Sample size estimation follows a different scientific method based on either item sample ratio or statistical procedure that is specifically different from other study designs, Regarding Exploratory Factor Analysis (EFA) basis of sample size estimation, recommendations to ensure the sample size ranges from 100 to 250 while other recommendations mentioned to ensure a sample size >300 to ensure good statistical estimation, The item sample ratio and sample size estimation process lacks any definitive ratio, Researchers use minimum 2 to maximum 20 people per item to estimate the sample size that is assumed arbitrarily, Some authors use Kaiser-Meyer-Olkin (KMC) sampling adequacy test to ensure the adequate sample size.
The value of the Kaiser-Meyer-Olkin criterion was 0.