Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Thus, the study aims to investigate the association between PUD and new onset CFS. The goal of our population-based retrospective study was to analyze the hazard ratios (HRs) and cumulative incidence rates of CFS between patients with and without PUD by using the National Health Insurance ...
The two most common meta-analytical effect size measures in management studies are (z-transformed) correlation coefficients and standardized mean differences (Aguinis et al.2011a; Geyskens et al.2009). However, meta-analyses in management science and related fields may not be limited to those two...
But you can standardize all your Xs to get rid of their units. You can then interpret your odds ratios in terms of one standard deviation increases in each X, rather than one-unit increases. Interpreting Linear Regression Coefficients: A Walk Through Output Learn the approach for understanding ...
wherea, b, f andgare assumed to be smooth functions, andc(Climate) andh(Climate) are functions of climate zone indicators or average air temperature. The error terms on the log scale for different wetlands were assumed to be statistically independent and normally distributed with mean zero and...
we estimate 𝑌 with the regressors in that partition using ordinary RR; retain the regressors with statistically significant 𝑡-ratios and the corresponding RR tuning parameter 𝑘, by partition; use the retained regressors and 𝑘 values to re-estimate 𝑌 by GRR across all partitions, which...
The variables were statistically tested in terms of their interrelationships and the correlations based on the adopted research process scheme (see Figure 1). The analysis of responses to selected questions helped to assess the relationship between the limitations in RTOs observed during the pandemic ...
we estimate Y with the regressors in that partition using ordinary RR; retain the regressors with statistically significant t -ratios and the corresponding RR tuning parameter k , by partition; use the retained regressors and k values to re-estimate Y by GRR across all partitions, which yields ...
A p-value of ≤0.001 was considered statistically significant because of the high risk of type 1 errors due to the large number of statistical tests. An η2≥ 0.01 was interpreted as a small effect size, η2≥ 0.06 as a medium effect size, and η2≥ 0.14 as a large effect size. 3...
Depending on the degree of internalization, OIT further subdivides autonomous motivation into two types: Identified regulation, a moderately autonomous type of motivation. That is, individuals identify with the value of the activity in which they are engaged and feel that the activity is important; ...