Crawford John R, Smith Geoff, Maylor Elizabeth A, Della Sala Sergio, Logie Robert H
Department of Psychology, King's College, University of Aberdeen, UK.
Memory. 2003 May;11(3):261-75. doi: 10.1080/09658210244000027.
The Prospective and Retrospective Memory Questionnaire (PRMQ; Smith, Della Sala, Logie, & Maylor, 2000) was developed to provide a self-report measure of prospective and retrospective memory slips in everyday life. It consists of sixteen items, eight asking about prospective memory failures, and eight concerning retrospective failures. The PRMQ was administered to a sample of the general adult population (N = 551) ranging in age between 17 and 94. Ten competing models of the latent structure of the PRMQ were derived from theoretical and empirical sources and were tested using confirmatory factor analysis. The model with the best fit had a tripartite structure and consisted of a general memory factor (all items loaded on this factor) plus orthogonal specific factors of prospective and retrospective memory. The reliabilities (internal consistency) of the Total scale and the Prospective and Retrospective scales were acceptable: Cronbach's alpha was 0.89, 0.84, and 0.80, respectively. Age and gender did not influence PRMQ scores, thereby simplifying the presentation and interpretation of normative data. To ease interpretation of scores on the PRMQ, tables are presented for conversion of raw scores on the Total scale and Prospective and Retrospective scales to T scores (confidence limits on scores are also provided). In addition, tables are provided to allow users to assess the reliability and abnormality of differences between an individual's scores on the Prospective and Retrospective scales.
前瞻性与回溯性记忆问卷(PRMQ;史密斯、德拉·萨拉、洛吉和梅勒,2000年)旨在提供一种对日常生活中前瞻性和回溯性记忆失误的自我报告测量方法。它由16个项目组成,其中8个询问前瞻性记忆失误,8个涉及回溯性记忆失误。该问卷被施测于年龄在17岁至94岁之间的普通成年人群样本(N = 551)。从理论和实证来源推导得出了10种关于PRMQ潜在结构的竞争模型,并使用验证性因素分析进行了检验。拟合度最佳的模型具有三方结构,由一个一般记忆因素(所有项目均加载于该因素)以及前瞻性和回溯性记忆的正交特定因素组成。总量表、前瞻性量表和回溯性量表的信度(内部一致性)是可接受的:克朗巴哈α系数分别为0.89、0.84和0.80。年龄和性别并未影响PRMQ得分,从而简化了常模数据的呈现和解释。为便于对PRMQ得分进行解释,给出了将总量表、前瞻性量表和回溯性量表的原始得分转换为T分数的表格(还提供了得分的置信区间)。此外,还提供了表格以便用户评估个体在前瞻性量表和回溯性量表上得分差异的信度和异常情况。