Older adults often demonstrate a monitoring deficit by producing more high-confidence memory errors on recognition memory tests. To eliminate lower memory performance by older adults (OA) as a candidate explanation, we studied how distinctive encoding enhances the retrieval-monitoring accuracy in older adults and younger adults (YA) under different delays (2-day delay for OA, 7-day delay for YA). Individuals viewed items consisting of four randomly selected exemplars (e.g., SALMON, BASS, PERCH, and SHARK) from a taxonomic category (e.g., FISH), one being designated as the to-be-remembered target. Participants were randomly assigned to two encoding conditions: Shared (generate a shared feature of all exemplars, e.g., GILLS) or Distinctive (generate a distinctive feature of the designated target). We collected retrospective confidence judgments (RCJs) after a five-alternative forced-choice (5AFC) recognition test, with the lures being either previously presented (old) exemplars or new category exemplars. Recall and recognition memory were better with distinctive encoding, with shared feature generation producing more high-confidence false alarms (HCFAs). Distinctive encoding dramatically reduced HCFAs and improved RCJ resolution. Comparison of OA with 2-day delay YA revealed age differences in HCFA consistent with previous studies. As important, age differences in memory for OA and 7-day delay YA were minimized, eliminating age deficits in HCFAs. Matching OAs to a subset of 7-day delay YAs on recognition memory produced additional evidence favoring the null hypothesis of age-equivalence in HCFAs. The results therefore indicated that age differences in recognition-based retrieval monitoring in a forced-choice recognition test are an epiphenomenon of age differences in memory.

Metamemory is defined as cognitions about memory and related processes. Related terms in the literature include metacognition, self-evaluation, memory self-efficacy, executive function, self-regulation, cognitive control, and strategic behavior. Metamemory is a multidimensional construct that includes knowledge about how memory works, beliefs about memory (including beliefs about one’s own memory such as memory self-efficacy), monitoring of memory and related processes and products, and metacognitive control, in which adaptive changes in processing approaches and strategies may be contemplated if monitoring of memory processes (encoding, retention, retrieval) indicates that alternative strategies may be required. Older adults generally believe that their memory has declined and that, on average, they have less control over memory and lower memory self-efficacy than young and middle-aged adults. Many but not all aspects of online memory monitoring are well preserved in old age, such as the ability to discriminate between information that has been learned versus not learned. A major exception concerns confidence judgments concerning whether recognition memory decisions are correct; older adults are more prone to high-confidence memory errors, believing they are recognizing something they have not encountered previously. The evidence regarding metacognitive control is more mixed, with some hints that older adults do not use monitoring to adjust control behaviors (e.g., devoting more time and effort to studying items they believe have not yet been well-learned). However, any age deficits in self-regulation based on memory monitoring or adaptive strategy use can probably be addressed through instructions, practice, or training. In general, older adults seem capable of exerting metacognitive control in memory studies, although they may not necessarily do so without explicit support or prompting.

This paper describes normative data for newly collected exemplar responses to 70 semantic categories described in previous norming studies (Battig & Montague, 1969; Van Overschelde, Rawson, & Dunlosky, 2004; Yoon et al., 2004). These categories were presented to 246 Young (18-39 years), Middle (40-59 years), and Older (60 years and older) English-speaking adults living in the United States who were asked to generate as many category exemplars as possible for each of the 70 categories. In order to understand differences in normative responses, we analyzed these responses a) between age groups within the current sample and b) in comparison to three previously-published sets of norms. Experimental studies using such norms typically assume invariance of normative likelihoods across age and historical time. We replicate previous findings such that exemplar frequency correlations suggest moderate stability in generated category members between age groups and cohorts for many, but not all, categories. Further, analyses of rank order correlations highlight that the traditional measure of typicality may not capture all aspects of typicality, namely that for some categories there is high consistency in the frequency of exemplars across age groups and/or norms, but the ordering of those exemplars differs significantly. We include a cluster analysis to aid in grouping categories based on relative stability across time, cohort, and age groups. These results emphasize the importance of maintaining and updating age-differentiated category norms.

Medical educators have acknowledged the importance of simulation training in developing procedural skills. While simulation training in other disciplines has benefitted from evaluations of users’ skill acquisition, the majority of medical training simulators continue to be developed from overly simplified descriptions of procedures, such as techniques prescribed by existing instructional material. Our objective was to use a modeling framework to characterize the skill of various users in applying junctional tourniquets in order to design an effective training simulator. We recorded 46 medical first responders performing training exercises applying a junctional tourniquet and used coded video and sensor data to identify the hierarchy of actions they performed in the process. The model provides several insights into trainee performance, such as the way in which advanced users perform more tasks in parallel, or areas where advanced users employ situational awareness to identify ways they can deviate from recommended protocol to improve outcomes. The model successfully identifies variations in tourniquet application technique that correlates with improvement on clinically relevant metrics including application speed, pressure applied, and tourniquet placement stability. This methodology can improve medical training simulations by indicating changes during the course of learning a new task, such as helpful deviations from instructional protocol.