The Troyer Level of Consciousness Inventory (TLOCI)

Using the Troyer Level of Consciousness Inventory (TLOCI), we are able to gather data indicating one’s level of consciousness. The TLOCI is an introspective, subjective self-report instrument that falls within the High-Order Thought theory (HOT). The TLOCI was constructed by compiling the ten most common dimensions discussed in literature surrounding consciousness—Meta Self-Awareness, Problem Solving, Positive Reflection, Rumination, Private Self-Awareness, Public Self-Awareness, Attention to Stimuli, Procedural Knowledge, Weak Response, and Unresponsive. Through strategic research and analysis, four reliable and interpretable factors emerged in the quantitative data set related to consciousness. Meta Self-Awareness, Reflection, Openness, and Helping Others compile the structured factor model selected, with statistical results indicating a high internal consistency indices (>.70), with an overall internal consistency index of .91.

The Troyer Level of Consciousness Inventory has been scrutinized according to scientific guidelines for designing a questionnaire, as well as for providing for confidentiality and good item form. This instrument was pilot-tested Fall 2007 at Northern Arizona University for clarity, comprehensibility and brevity, validated in 2008 in a large scale U.S. national study, and a confirmatory factor analysis was conducted at Delta State University in 2009.

Furthermore, the Troyer Level of Consciousness Inventory has been validated through vigorous statistical analysis through three external methods. The first two involved substantiating significant correlations with the existing related measures of the Situational Self-Awareness Scale (SSAS) and Mindful Attention Awareness Survey (MAAS). The third external method was an investigation of whether participants who engaged in consciousness raising activities (martial arts, meditation, yoga, spiritual/religious activity) had higher scores on the scales of the TLOCI than individuals who did not engage in these activities. Using these three external methods, validation data provided significant results for construct validity.