L.S. Fidell's scientific contributions

Publications (11)

Article
Reviews the books, Analysemethoden: Eine anwendungsorientierte Einführung by E. Backhaus, B. Erichson, W. Plinke, and R. Weiber (2000) and Using multivariate statistics by B. G. Tabachnick and L. S. Fidell (2001). These books address the use of multivariate statistics within the field of psychology. (PsycINFO Database Record (c) 2013 APA, all right...

Citations

... Several data distribution assumptions underlying statistical tests were examined depending on the specific analyses being carried out. For all analyses univariate outliers were assessed using the process outlined by Tabachnick and Fidell (2001). For tests of grouped data, outliers were identified separately within each group, whereas for tests of overall data, outliers were identified for the overall cohort. ...
... [Insert Table 2] Step 3: Purifying the Measure Next, a pilot survey with a sample of guests who had used P2P accommodations and were the primary trip planners was conducted to purify the measure (Netemeyer, Bearden, and Sharma 2003). The target sample size of the pilot study was 300, meeting minimum sample requirements for exploratory factor analysis (EFA) (Nunnally and Bernstein 1994;Tabachnick and Fidell 1996). The pilot survey was distributed via Qualtrics TM , and the 36 items pertaining to co-creation experience were presented in the survey in random order. ...
... Multivariate logistic regression was carried out using a forced entry method (where all variables are entered into the equation in a single step) to examine associations between included variables with a significance level of P <0.05. 24 Results are presented with odds ratios (OR) and 95 percent confidence intervals (CI) for each condition vs the overall spinal disease population. 24 Following multivariate logistic regression for each disease variables retained in the final model (P <0.05) included purebred status, age (signalment), concurrent abnormalities in the clinical history or general physical examination, median time to presentation, progression of clinical signs, ambulatory status, spinal hyperaesthesia, asymmetry in neurological deficits and neuroanatomical localisation. ...
... The importance of the dependent variables to the independent variables is explained by Betas (Tabachnik and Fidell, 2007). The values further represent the degree of responsiveness of the dependent variables to the independent variables. ...
... Then data were then examined for missing values. Finally, the list-wise deletion method was used if the missing data points were random and no data recomputation was performed since no significant missing data were detected (Tabachnick & Fidell, 2007). ...
... For multivariate analysis, all categorical variables were dummy coded to meet assumptions of regression. 26 An alpha of 0.05 was used for all statistical analyses. ...
... The raw data is checked for seeing missing data or any partial data before processing. The dataset-associated glitches are revised before statistical analysis because better data preparation leads to a better estimate [77]. Table 4 represents the demographic information of the survey. ...
... The GFI value in this model is 0.873. The approximate value with the recommended level is higher than 0.90 (Tabachnick & Fidell, 2007), and another criterion is more than 0.85, which indicates a marginal fit research model (Hair et al., 2016). ...
... The different procedures of the cluster analysis are essentially constituted by the choice of the proximity measure as well as the grouping procedure. Regarding the proximity measure, the squared Euclidean distance was chosen because the classification variables are binary (Backhaus et al. 2016) and this proximity measure is frequently used in empirical studies (Eckstein 2016). As grouping methods, partitioning and hierarchical methods are distinguished from each other. ...
... Preliminary data screening detected one univariate outlier (Z score > 3.29) [47] on the AUDIT, which was replaced by the second-highest value. The Shapiro-Wilks test [48] indicated non-normality of scores on the BART, driving simulation, the UPPS, and the DAST-20. ...