Jasp statistical software

To understand how the inflow of exotic plants is affected by the vegetation development and bird diversity, Discriminant Analysis for Principal Component (DAPC) was performed using the Statistica software program (version 7) on the vegetation data obtained from the floodplains. Pathway analysis was conducted to examine the impact of seed dispersal types and the external morphology of vegetation on the development of exotic plant species. This analysis was carried out using the JASP statistical software (version 0.14.1). The input data for the pathway analysis consisted of the number of species dispersed by water/wind, animals, mechanical trait, and gravity, as well as vine, runner, rosette, and rhizomatous plants. Additionally, the ratio of exotic to native plant species was also considered. The collected data was organized sequentially as per observational time.
Vegetation development is known to be affected by bird migration patterns in the area and seasonal changes, especially given that the plants in the temperate seasonal forests of the northern hemisphere die due to seasonal changes post September. As such, data after September was excluded from the DAPC analysis. All the data was standardized before conducting path and DAPC analysis to eliminate errors generated by variations in units of each variable [32 ].

JASP statistical software (Version 0.13.1) was used to conduct the analysis with a combination of the R programming language implemented in RStudio v. 3.6.1 (R Core Team, 2019 ) with a “tidyverse” package (Wickham et al., 2019 (link)) for the creation of plots. Post hoc power test in G*Power 3.1 (Faul et al., 2009 (link)) was run for each analysis. Protocols from the performed power analyses, along with other materials, databases and reports are accessible at the Open Science Framework (OSF; https://osf.io/bsudg).
All experiments were approved by the local ethics committee. Informed consent was obtained from all participants before enrollment in the experimental procedures and data collection.

JASP statistical software was utilized to analyze the data. For Experiment 1, a 2 (Time: Memory Retrieval 1 and 2) by 6 (Condition) ANOVA (analysis of variance) was employed to evaluate memory performances across the six conditions. For Experiments 2 and 3, a 2 (Time: Memory Retrieval 1 and 2) by 2 (Condition) ANOVA was employed to evaluate memory performances across the two conditions. Main effects (time and condition) and interactions are reported, with effect size estimates reported as eta-squared values (η²). Statistical significance was set at an alpha of .05. We intentionally did not correct for multiple comparisons, as the number of type I errors cannot decrease without increasing the risk of making a type II error. Further, the theoretical assumption behind correction for multiple testing is that all null hypotheses are true simultaneously, which was not of interest in our study (Perneger, 1998 (link); Rothman, 1990 (link)).