Ripples in the water: Fluctuations of narcissistic states in daily life.

Narcissistic traits are traditionally viewed as consistent similar to the mirrorlike self-reflection of Narcissus in the water. However, evidence suggests that state levels of narcissism are more dynamic than previously believed. The current research explored fluctuations within and between grandiose and vulnerable narcissism in daily life. We investigated whether individuals' levels of grandiosity and vulnerability (a) vary, (b) are instable, and (c) display inertia and cross-lagged effects in their daily narcissistic expressions. Participants (N = 253; Mage = 22, 85% female) completed grandiose and vulnerable narcissistic trait questionnaires. Using ecological momentary assessment, they further completed up to 60 grandiose and vulnerable narcissistic state questionnaires over 6 days. The results showed that higher grandiose and vulnerable narcissistic traits led to more within-person variability within their corresponding states. Additionally, higher grandiose leadership/authority traits related to greater vulnerable within-person variability, while grandiose self-absorption/self-admiration reduced this. Similarly, all narcissistic traits, except for exploitativeness/entitlement and egocentrism, were positively related to increased instability in their corresponding state. Further, both grandiose and vulnerable narcissistic states demonstrated significant inertia, that is, lingering narcissistic endorsements within their own states. Overall, though the effect sizes were limited, the results showed that grandiosity and vulnerability include time-variant states that are intertwined and need to be acknowledged as additional moving, dimensional constructs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A mixed-method investigation into measurement reactivity to the experience sampling method: The role of sampling protocol and individual characteristics.

Since the introduction of the experience sampling method (ESM), there have been concerns that the repeated assessments typically related to this method may alter the behavior, thoughts, or feelings of participants. Previous studies have offered mixed results with some studies reporting reactive changes, while others failed to find such effects. Our aim was to investigate under which circumstances ESM induces reactive effects. Students (N = 151) were randomly assigned to receive a questionnaire containing 30 or 60 items three, six, or nine times per day for 14 days. A random sample of 50 participants took part in qualitative interviews after the end of the data collection. We investigated changes over time in the data, while taking into account the sampling protocol and characteristics of participants, and analyzed qualitative reports of measurement reactivity. Decreases in completion time, within-person variance of ratings and subjective reports of habituation point toward the existence of a habituation period. While participants reported increases in emotional awareness in interviews, ESM measures indicated a decrease in emotional awareness over time. Changes in behavior were rare in quantitative and qualitative reports. Positive affect was decreasing over time in the ESM data, and various changes in affect, emotion regulation, and thoughts were reported in interviews. Individual characteristics and sampling protocol had inconsistent effects on changes over time. The results suggest that ESM induces changes in within-person variability, completion times, affect, or emotional awareness over time. Further research is needed to explore whether observed changes affect the validity of ESM data. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Applying multiverse analysis to experience sampling data: Investigating whether preprocessing choices affect robustness of conclusions.

The experience sampling method (ESM) has revolutionized our ability to conduct psychological research in the natural environment. However, researchers have a large degree of freedom when preprocessing ESM data, which may hinder scientific progress. This study illustrates the use of multiverse analyses regarding preprocessing choices related to data exclusion (i.e., based on various levels of compliance and exclusion of the first assessment day) and the calculation of constructs (i.e., composite scores calculated as the mean, median, or mode) by reanalyzing established group differences in negative affect, stress reactivity, and emotional inertia between individuals with and without psychosis. Data came from five studies and included 233 individuals with psychosis and 223 healthy individuals (in total, 26,892 longitudinal assessments). Preprocessing choices related to data exclusion did not affect conclusions. For both stress reactivity and emotional inertia of negative affect, group differences were affected when negative affect was calculated as the mean compared to the median or mode. Further analyses revealed that this could be attributed to considerable differences in the within- and between-factor structure of negative affect. While these findings show that observed differences in affective processes between individuals with and without psychosis are robust to preprocessing choices related to data exclusion, we found disagreement in conclusions between different central tendency measures. Safeguarding the validity of future experience sampling research, scholars are advised to use multiverse analysis to evaluate the robustness of their conclusions across different preprocessing scenarios.

The Effects of Sampling Frequency and Questionnaire Length on Perceived Burden, Compliance, and Careless Responding in Experience Sampling Data in a Student Population.

Currently, little is known about the association between assessment intensity, burden, data quantity, and data quality in experience sampling method (ESM) studies. Researchers therefore have insufficient information to make informed decisions about the design of their ESM study. Our aim was to investigate the effects of different sampling frequencies and questionnaire lengths on burden, compliance, and careless responding. Students (n = 163) received either a 30- or 60-item questionnaire three, six, or nine times per day for 14 days. Preregistered multilevel regression analyses and analyses of variance were used to analyze the effect of design condition on momentary outcomes, changes in those outcomes over time, and retrospective outcomes. Our findings offer support for increased burden and compromised data quantity and quality with longer questionnaires, but not with increased sampling frequency. We therefore advise against the use of long ESM questionnaires, while high-sampling frequencies do not seem to be associated with negative consequences.

Reported Affect Changes as a Function of Response Delay: Findings From a Pooled Dataset of Nine Experience Sampling Studies.

Delayed responses are a common phenomenon in experience sampling studies. Yet no consensus exists on whether they should be excluded from the analysis or what the threshold for exclusion should be. Delayed responses could introduce bias, but previous investigations of systematic differences between delayed and timely responses have offered unclear results. To investigate differences as a function of delay, we conducted secondary analyses of nine paper and pencil based experience sampling studies including 1,528 individuals with different clinical statuses. In all participants, there were significant decreases in positive and increases in negative affect as a function of delay. In addition, delayed answers of participants without depression showed higher within-person variability and an initial strengthening in the relationships between contextual stress and affect. Participants with depression mostly showed the opposite pattern. Delayed responses seem qualitatively different from timely responses. Further research is needed to understand the mechanisms underlying these differences.