To measure the depression among adolescents and adults, we developed and validated the RUDS through considering the Nigerian socio-cultural setting and using the approach described by Lynn (
28). Lynn (
28) recommended a two-staged approach: Development and generation of instrument items and evaluating the instrument’s item performance (validation). In generating the initial pool of items for the RUDS, the researchers reviewed clinical features of depression recorded in both the DSM-5 and ICD-10 (2, 14, 15, 16, 17).
The six main themes identified included ‘biased perception’ (selective attendance to adverse events and features in one’s environments), ‘cognitive distortions’ (a description of self, the future, and the world in negative terms), and ‘affective disturbances’ (manifestation of low mood, diurnal variation, and anhedonia). Other subthemes included ‘somatizations’ (characterized by changes in somatic state, including loss of energy, disturbance of sleep and appetite, pain symptoms, weight loss or gain, and other vegetative features), ‘relationship deterioration’ (characterized by poor interpersonal relationships, asociality, and perceiving the self as lonely and unworthy of love), and ‘suicidality’ (suicidal ideation, intention, and attempts) (
2,
14-
17). The generation of items relating to the agreed themes resulted in 32 items used for scale purification purposes. Also, a 6-point Likert scale was used to measure opinions, beliefs, and attitudes (
29). Based on the decision to use a Likert response format, each item of the RUDS is a declarative statement (
29).
As recommended by Flynn and Pearcy (
30) and Derbaix and Pecheux (
31), the combination of reliability analysis and EFA was used for the purification of RUDS.
The initial items generated by authors were subjected to content validity by a panel of experts. According to Streiner et al. (
32), content validity presents currently available knowledge in the construct of interest. It is also the minimum quality requirement for an instrument (
33,
34), an essential indicator of an instrument’s validity, and a display of how feasible and practicable an instrument is (
33,
35). The development process of RUDS supported its validity and formed a basis for further examination of its validity and reliability.
The Cronbach’s α for RUDS was 0.91, and item-total correlation ranged from 0.52 to 0.81. The implication of this finding showed a good item inter-relatedness, unidimensionality, and homogeneity of the construct (
36,
37) among the Nigerian population. In other words, the scores of Cronbach’s α, Spearman-Brown coefficient, and Guttman Split-Half coefficient were not too high to render some items as redundant (
38,
39). In summary, the high alpha score showed that RUDS has a strong reliability.
As a new scale, the RUDS was validated using the concurrent validity method as recommended by Cronbach and Meehl (
40). RUDS positively correlated with two standardized scales for measuring depression and psychological distress among the general population. Based on the EFA results and the acceptable psychometric properties. The RUDS is an adequate measure of depression for both adolescents and adults in Nigeria and other areas with similar socio-cultural settings.
5.1. Conclusions
In this study, through stages involving initial items generation, experts’ assessment (content validity) of the initial pool of items, and the use of EFA for items purification, a single factor scale with 18 items was extracted to make up the RUDS. The items of the RUDS showed an acceptable internal consistency (reliability coefficient). Also, RUDS had significant positive correlations with the CES-D and the GHQ-12, indicating an acceptable validity coefficient. Finally, the RUDS is gender-sensitive, as 95% CI revealed a lower cutoff point for male participants than females. We recommend the RUDS as a diagnostic tool for depression among adolescents and adults in Nigeria and other climes with similar socio-cultural settings.
5.2. Limitations of the Study
This research was carried out based on the unique psycho-sociocultural setting of the Nigerian population. The generalization of the findings and the use of this scale on other populations with different social-cultural characteristics without scale re-validation should be approached with caution.