Kumari Parul, Sayeed Neha, Das Basudeb, Bose Swarnali, Umesh S, Khanande Roshan V, Raj Justin
Department of Clinical Psychology, Kanke, Ranchi, Jharkhand, India.
Department of Psychiatry, Kanke, Ranchi, Jharkhand, India.
Indian J Psychiatry. 2024 Jan;66(1):67-70. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_228_23. Epub 2024 Jan 25.
Social cognition deficit is one of the marked characteristics of schizophrenia. Accumulated evidence suggests that social cognition and interaction training (SCIT) is associated with improved performance in social cognition and social skills in patients diagnosed with psychotic disorders. The cultural influence on social cognition is quite considerable. So, studies in the area of social cognition domains need to adapt and use culturally appropriate tools and measures to see the effectiveness. This study aimed to validate the materials used in SCIT training in Indian setting.
The original script of video clips was translated into Hindi and was reshot, and the images were remade. A panel of experts rated the videos and images on a 5-point Likert scale. Furthermore, the content validity and internal consistency of the materials were calculated.
The content validity ratio (CVR) critical value was 0.357, and all the videos and images received more than the CVR critical value. The intraclass correlation coefficient for videos was 0.974, for SCIT photographs was 0.971, for "spotting character" was 0.975, and for "emotion shaping" was 0.965, indicating good internal consistency.
The majority of the experts in the panel found the videos and images adequate and appropriate for the Indian setting. In addition, the videos and photographs both yielded good internal consistency.
社会认知缺陷是精神分裂症的显著特征之一。越来越多的证据表明，社会认知与互动训练（SCIT）与被诊断为精神障碍的患者在社会认知和社交技能方面的表现改善有关。文化对社会认知的影响相当大。因此，社会认知领域的研究需要采用并使用适合文化背景的工具和措施来观察其有效性。本研究旨在验证印度背景下SCIT训练中使用的材料。
视频片段的原始脚本被翻译成印地语并重新拍摄，图像也重新制作。一个专家小组用5点李克特量表对视频和图像进行评分。此外，还计算了材料的内容效度和内部一致性。
内容效度比（CVR）临界值为0.357，所有视频和图像的得分均超过CVR临界值。视频的组内相关系数为0.974，SCIT照片为0.971，“识别角色”为0.975，“情绪塑造”为0.965，表明内部一致性良好。
专家小组中的大多数人认为这些视频和图像适用于印度背景。此外，视频和照片的内部一致性都很好。
