It is a semistructured interview that assesses the main groups of Axis I disorders of the DMS-IV-TR, including the OCD. The SCID-I is widely used in mental health, and it offers good psychometric properties (Lobbestael et al., 2011).

Created by Derogatis, it is an instrument to assess a variety of psychological and psychopathological symptoms. It is a 90-item Likert-kind response scale, with five options—from 0 to 4. The evaluation and interpretation are carried out according to nine primary dimensions and three global indexes. On the one side, the dimensions are as follows: somatization, obsessions and compulsions, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism. On the other, the indexes are as follows: global severity index, positive symptom distress index, and positive symptom total (Derogatis, 1994; Casullo, 1999/2004). Cronbach α coefficient found in the sample of this study was α = 0.97.

The version adapted to Spanish by Bobes et al. (1994) was used, and specifically, the symptoms related to cleaning OCD. In the Symptom Checklist-17, items were taken into account: the contamination and symmetry/exactness obsessions, and the cleaning/washing and ordering/arranging compulsions. The second part is a Likert scale with a 0- to 4-point score, made up of 10 items that measure the symptomatology degree, evaluating the time obsessive thoughts and compulsions take in their lives, the interference produced, the discomfort related to it, the resistance, and the degree of control over them. The Cronbach α coefficient found in the sample of this study was α = 0.81

It is an instrument, with a Likert-kind response scale that has two subscales: one assesses anxiety as state (S-A) and the other as trait (T-A). Each subscale has 20 phrases that correspond to the anxiety felt by the person at the moment (S-A) or in general (T-A), and the score goes from 0 to 3 (Buela-Casal et al., 2011). In each subscale, there is a series of phrases whose sense is inverted, aimed at assessing the well-being or lack of anxiety, whereas the others' statements are focused on the presence of anxiety (García-Batista et al., 2018). In the present study, only the anxiety state subscale was used. Psychometric validation studies in Dominican population (García-Batista et al., 2018) indicate optimal levels of internal consistency (α = 0.88).

This is a self-report questionnaire designed to assess the sense of presence in virtual environments. This scale is formed by 14 items whose responses correspond to a Likert-kind scale with seven response possibilities (Schubert et al., 2001; Igroup, 2019). The IPQ has three subscales that evaluate different dimensions of the sense of presence. Involvement subscale aims at measuring the attention devoted to the virtual environment, the Spatial Presence subscale is related to the sense of being physically part of the simulated environment, and the Realism subscale measures the realism degree granted to the virtual environment. The IPQ also has a general item that assesses the sense of being there. The Cronbach α coefficients found in the sample of this study for each dimension were as follows: α = 0.76 (IPQ-Spatial), α = 0.75 (IPQ-Involvement), α = 0.73 (IPQ-Realness), and α = 0.76 (IPQ-General).

The virtual environments were developed and executed using an Intel® Core™, i5-6500 CPU @ 3.20 GHz, 3.19-GHz computer, with a RAM memory of 32.0 GB DDR4, and a graphic card of NVIDIA GeForce GTX 1080 (8 GB GDDR5). For this study, low-cost VR headsets were used, such as Google Cardboard 2.0, and a HUAWEI Mate 10 lite smartphone, model: RNE-L03, Android version: 8.0.0, RAM 4.0 GB.

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