Associazione per la Ricerca in Psicopatologia dell'Attaccamento e dello Sviluppo-ARPAS, Rome, Italy.
Clin Psychol Psychother. 2012 May-Jun;19(3):224-34. doi: 10.1002/cpp.742. Epub 2011 Jan 19.
Assessing Interpersonal Motivations in Transcripts (AIMIT) is a coding system aiming to systematically detect the activity of interpersonal motivational systems (IMS) in the therapeutic dialogue. An inter- and intra-rater reliability study has been conducted. Sixteen video-recorded psychotherapy sessions were selected and transcribed according to the AIMIT criteria. Sessions relate to 16 patients with an Axis II diagnosis, with a mean Global Assessment of Functioning of 51. For the intra-rater reliability evaluation, five sessions have been selected and assigned to five independent coders who where asked to make a first evaluation, and then a second independent one 14 days later. For the inter-rater reliability study, the sessions coded by the therapist-coder were jointly revised with another coder and finally classified as gold standard. The 16 standard sessions were sent to other evaluators for the independent coding. The agreement (κ) was estimated according to the following parameters for each coding unit: evaluation units supported by the 'codable' activation of one or more IMS; motivational interaction with reference to the ongoing relation between patient and therapist; an interaction between the patient and another person reported/narrated by the patient; detection of specific IMS: attachment (At), caregiving (CG), rank (Ra), sexuality (Se), peer cooperation (PC); and transitions from one IMS to another were also scored. The intra-rater agreement was evaluated through the parameters 'cod', 'At', 'CG', 'Ra', 'Se' and 'PC' described above. A total of 2443 coding units were analysed. For the nine parameters on which the agreement was calculated, eight ['coded (Cod)', 'ongoing relation (Rel)', 'narrated relation (Nar)', 'At', 'CG', 'Ra', 'Se' and 'PC'] have κ values comprised between 0.62 (CG) and 0.81 (Cod) and were therefore satisfactory. The scoring of 'transitions' showed agreement values slightly below desired cut-off (0.56). Intra-rater reliability was very good (κ values for Cod = 0.90; κ for all IMS = 0.78). Data seem to support the validity of the AIMIT method in terms of reliability, and encourage to further implementation of the AIMIT approach.
评估转录中的人际动机 (AIMIT) 是一种旨在系统地检测治疗对话中人际动机系统 (IMS) 活动的编码系统。已经进行了一项内部和外部可靠性研究。选择了 16 个视频记录的心理治疗会话并根据 AIMIT 标准进行了转录。这些会话涉及 16 名具有轴 II 诊断的患者，平均总体功能评估为 51。对于内部评估者的可靠性评估，选择了五个会话并分配给五个独立的评估者，要求他们进行第一次评估，然后在 14 天后进行第二次独立评估。对于外部评估者的可靠性研究，治疗师评估者对会话进行编码，并与另一位评估者共同修订，最终被分类为黄金标准。将这 16 个标准会话发送给其他评估者进行独立编码。根据以下参数，为每个编码单元估计了协议（κ）：评估单元由一个或多个 IMS 的“可编码”激活支持；参考患者与治疗师之间正在进行的关系的动机交互；患者与患者报告/叙述的另一个人之间的交互；检测特定的 IMS：依恋 (At)、关怀 (CG)、等级 (Ra)、性 (Se)、同伴合作 (PC)；以及从一个 IMS 到另一个 IMS 的转换也被评分。内部评估者的协议通过上述“编码（Cod）”、“正在进行的关系（Rel）”、“叙述的关系（Nar）”、“At”、“CG”、“Ra”、“Se”和“PC”等参数进行评估。共分析了 2443 个编码单元。对于计算协议的九个参数，八个参数 ['编码 (Cod)'] 具有介于 0.62（CG）和 0.81（Cod）之间的 κ 值，因此令人满意。“转换”的评分显示出稍低于所需截止值的协议值（0.56）。内部评估者的可靠性非常好（Cod 的 κ 值=0.90；所有 IMS 的 κ 值=0.78）。数据似乎支持 AIMIT 方法在可靠性方面的有效性，并鼓励进一步实施 AIMIT 方法。
