Reanalysis of an Allocentric Navigation Strategy Scale based on Item Response Theory

Abstract

<jats:title>Abstract</jats:title><jats:p>Focusing on 12 allocentric/survey-based strategy items of the <jats:italic>Navigation Strategy Questionnaire</jats:italic> (Zhong &amp; Kozhevnikov, 2016), the current study applied item response theory-based analysis to determine whether a bidimensional model could better describe the latent structure of the survey-based strategy. Results from item and model fit diagnostics, categorical response and item information curves showed that an item with the lowest rotated component loading (.27) [SURVEY12], could be considered for exclusion in future studies; and that a bidimensional model with three preference-related items constituting a content factor offered a better representation of the latent structure than a unidimensional model per se. Mean scores from these three items also correlated significantly with a pointing-to-landmarks task to the same relative magnitude as the mean scores from all items, and all items excluding SURVEY12. These findings gave early evidence suggesting that the three preference-related items could constitute a subscale for deriving quick estimates of large-scale allocentric spatial processing in healthy adults in both experimental and clinical settings. Potential cognitive and brain mechanisms were discussed, followed by calls for future studies to gather greater evidence confirming the predictive validity of the full and sub scales, along with the design of new items focusing on environmental familiarity.</jats:p>

Architectural experience: clarifying its central components and their relation to core affect with a set of first-person-view videos

“…All participants of Survey 1 answered 12 survey-based strategy questions. Following Zhong (2020), 11 of the 12 questions were averaged to produce a mean Navigational Strategy Questionnaire (NSQ) score indicating ‘competence in cognitive mapping of routes and large-scale environments, and the formation of survey knowledge based on allocentric or environment-centred frames of reference’ (Zhong & Kozhevnikov, 2016). As a metric derived from self-assessment, NSQ scores do not indicate if participants are objectively good or bad navigators, but rather can be used to describe participants’ confidence in mapping and navigating spaces.…”

“…they might prefer scenes that resemble those in first-person video games. Participants also completed the survey-based strategy questions from the Navigational Strategy Questionnaire, to benchmark their spatial skills (Zhong, 2013; Zhong & Kozhevnikov, 2016; Zhong, 2020). NSQ data shows mean scores were similar across groups.…”

“…One participant identified as an architectural expert or student, and so their ratings were removed from the set. Participants also completed the survey-based strategy questions from the Navigational Strategy Questionnaire (NSQ), to create a mean NSQ score per participant which is used to benchmark their spatial skills (Zhong, 2013; Zhong & Kozhevnikov, 2016; Zhong, 2020). NSQ data shows mean scores were similar across groups.…”

Evaluation method of college students' psychological quality of innovation and entrepreneurship based on big data analysis

“…Step 5: Clear the indicator with the largest overall redundant contribution in the evaluation indicator of the psychological quality of innovation and entrepreneurship of all college students [23]. If there is a relationship of formula (7), j X in the evaluation indicator 12 , , , n X X X of n college students' psychological quality of innovation and entrepreneurship has the largest contribution to the overall redundancy of the evaluation indicator set, and j X needs to be cleared.…”

Neuroscience research on human visual path integration: Topical review of the path completion paradigm and underlying role of the hippocampal formation from a strategic perspective.

“…The empirical literature discussed thus far provided pieces of evidence that both supported and contradicted the relevance of the hippocampus for human path integration-and this raises the question of whether or not activation in the hippocampus and entorhinal cortex could be induced using different path integration strategies. In the context of the wider spatial navigation literature, I associate the term "strategy" with the cognitive style or mental imagery technique a moving agent utilizes when deciding on and traveling to a destination in mind (Wiener et al, 2011;Zhong, 2011Zhong, , 2013Zhong, , 2020Zhong & Kozhevnikov, 2016;Zhong & Moffat, 2018). In view of past findings showing that different types of navigation strategies were at work in acquiring different kinds of cognitive maps from the first-person (egocentric) and third-person (allocentric) perspectives in both familiar (Zhong, 2011) and novel environments (Zhong, 2013;Zhong & Kozhevnikov, 2016)-and that a plethora of perceptual and cognitive subprocesses (or "substrategies") composed the statistical dimension representing a unique type of strategy (Zhong, 2011(Zhong, , 2013(Zhong, , 2020Zhong & Kozhevnikov, 2016), I propose that the study of different navigation strategies can offer spatial navigation researchers better clues for understanding individual differences in hippocampal or MTL engagement during path integration.…”