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Research Articles

Lo(u)st in Therapy: Development and Psychometric Evaluation of the Therapists’ Attitude toward Sexual and Erotic Feelings Scale (TASEF)

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Figures & data

Figure 1. EGA results of the initial and final 19-item version of the TASEF.

Note: Red – gratification; blue – fear; green – threat; orange – aversion.

Enhanced Gaussian Graphical Model (EGA) results of the initial and final 19-item version of the TASEF. The figure shows lines connecting various items, with different line thicknesses representing the strength of the associations. Green lines indicate positive associations, while red lines indicate negative associations. Items are grouped by different colors, representing distinct factors.
Figure 1. EGA results of the initial and final 19-item version of the TASEF.Note: Red – gratification; blue – fear; green – threat; orange – aversion.

Figure 2. Item stability of the 19-item TASEF. Stability below 75% is poor.

Note: Red – gratification; blue – fear; green – threat; orange – aversion.

Item stability analysis of the 19-item TASEF. The figure illustrates the stability of each item, with stability below 75% considered poor. Items are color-coded to represent different factors. Notably, all items demonstrated satisfactory stability.
Figure 2. Item stability of the 19-item TASEF. Stability below 75% is poor.Note: Red – gratification; blue – fear; green – threat; orange – aversion.

Figure 3. The final CFA of the 19-item TASEF.

Note: Ft1 – gratification; Ft2 – aversion; Ft3 – fear; Ft4 – threat.

Confirmatory Factor Analysis (CFA) results for the final 19-item TASEF. The figure depicts the strength of associations between latent factors and items, represented by lines of varying thickness. Green lines indicate positive associations, while red lines indicate negative associations.
Figure 3. The final CFA of the 19-item TASEF.Note: Ft1 – gratification; Ft2 – aversion; Ft3 – fear; Ft4 – threat.

Table 1. Network loadings of the 19-item TASEF (Study 1)

Figure 4. Factor-level Multi-trait Multimethod approach for convergence and discriminant validity.

Factor-level Multi-trait Multimethod (MTMM) approach for assessing convergence and discriminant validity of the TASEF. Each panel represents correlations with one of the TASEF clusters. The y-axis indicates the strength of the correlation.
Figure 4. Factor-level Multi-trait Multimethod approach for convergence and discriminant validity.

Figure 5. Item-level Multi-trait Multimethod approach for convergence and discriminant validity.

Item-level Multi-trait Multimethod (MTMM) approach for evaluating convergence and discriminant validity of the TASEF. Each panel represents correlations between scales' items and a specific TASEF cluster. The y-axis indicates the strength of the correlation between the items and the corresponding TASEF factor.
Figure 5. Item-level Multi-trait Multimethod approach for convergence and discriminant validity.

Table 2. Within-factor correlation, convergence, and discriminant scores of erotic transference clusters.

Table 3. Means, standard deviations, statistics, and effect sizes for the differences in erotic transference by gender, family status, sexual orientation, sex therapist, and religiosity.

Table 4. Correlations between TASEF clusters and background measures.

Data sharing statement

The data and materials used in the research can be available upon request.