Unobtrusive measures of prejudice: Estimating percentages of public beliefs and behaviours

This study was concerned with how accurate people are in their knowledge of population norms and statistics concerning such things as the economic, health and religious status of a nation and how those estimates are related to their own demography (e.g age, sex), ideology (political and religious beliefs) and intelligence. Just over 600 adults were asked to make 25 population estimates for Great Britain, including religious (church/mosque attendance) and economic (income, state benefits, car/house ownership) factors as well as estimates like the number of gay people, immigrants, smokers etc. They were reasonably accurate for things like car ownership, criminal record, vegetarianism and voting but seriously overestimated numbers related to minorities such as the prevalence of gay people, muslims and people not born in the UK. Conversely there was a significant underestimation of people receiving state benefits, having a criminal record or a private health insurance. Correlations between select variables and magnitude and absolute accuracy showed religiousness and IQ most significant correlates. Religious people were less, and intelligent people more, accurate in their estimates. A factor analysis of the estimates revealed five interpretable factors. Regressions were calculated onto these factors and showed how these individual differences accounted for as much as 14% of the variance. Implications and limitations are acknowledged.

Signs of Narcissism? Reconsidering a Widely Used Measure

Recent research on CEOs’ narcissism has mostly used unobtrusive measures, even though such measures have not been validated sufficiently. In two settings (Study 1 with 601 participants from various occupations and Study 2 with 97 managing directors), we analyze the construct validity of the commonly used narcissism index (NI). We find that the NI is only moderately correlated with the established and validated Narcissistic Personality Inventory (NPI), which calls into question the convergent validity of the NI. We further alter the company’s financial performance in our simulation to test whether performance affects the NI. Results show that individuals have different levels of NI after a period with a high compared with a low financial performance. This casts doubt on previous findings in organizational research using the NI and other unobtrusive measures because it reverses the common assumption of cause and effect.

Word Use as an Unobtrusive Predictor of Early Departure From Organizations

Past studies have emphasized members’ personality as an important predictor of departure from organizations, but the measurement of this factor has mostly relied on self-judged personality. As alternatives to self-judged personality, our study examines how two unobtrusive measures—others-judged personality and computerized text analytic results through Linguistic Inquiry and Word Count 2015 (Pennebaker et al., 2015)—are related to members’ departure from organizations ( N = 49). Drawing from internal personnel evaluations (i.e., others-judged personality), text (i.e., self-introduction documents that applicants submitted when applying to the organization), and behavioral data (i.e., actual stay in the organization), this study indicates that unobtrusive measures significantly predict members’ length of stay and that simultaneous use of both measures better predicts members’ length of stay in the organization than either one separately. However, text analytic results through Linguistic Inquiry and Word Count 2015 predict members’ departure more robustly. This study expands the theoretical meaning of personality and provides practical ways to predict people’s organizational behaviors.

Comparing the measurement of different social networks: Peer nominations, online communication, and proximity data

Background:Technological progress has enabled researchers to use new unobtrusive measures of relationships between actors in social network analysis. However, research on how these unobtrusive measures of peer connections relate to traditional sociometric nominations in adolescents is scarce. Therefore, the current study compared traditional peer nominated networks with more unobtrusive measures of peer connections: Communication networks that consist of instant messages in an online social platform and proximity networks based on smartphones’ Bluetooth signals that measure peer proximity. The three social network types were compared in their coverage, stability, overlap, and the extent to which the networks exhibit the often observed sex segregation in adolescent social networks.Method:Two samples were derived from the MyMovez project: a longitudinal sample of 444 adolescents who participated in the first three waves of the first year of the project (Y1; 51% male; Mage = 11.29, SDage = 1.26) and a cross-sectional sample of 774 adolescents that participated in fifth wave in the third year (Y3; 48% male; Mage = 10.76, SDage = 1.23). In the project, all participants received a research smartphone and a wrist-worn accelerometer. On the research smartphone, participants received daily questionnaires such as peer nomination questions (i.e., nominated network). In addition, the smartphone automatically scanned for other smartphones via Bluetooth signal every 15 minutes of the day (i.e., proximity network). In the Y3 sample, the research smartphone also had a social platform in which participants could send messages to each other (i.e., communication network).Results:The results show that nominated networks provided data for the most participants compared to the other two networks, but in these networks, participants had the lowest number of connections with peers. Nominated networks showed to be more stable over time compared to proximity or communication networks. That is, more connections remained the same in nominated networks than in proximity networks over the three waves of Y1. The overlap between the three networks was rather small, indicating that the networks measured different types of connections. Nominated and communication networks were segregated by sex, whereas this was less the case in proximity networks.Conclusion:The communication and proximity networks seem to be promising unobtrusive measures of peer connections and are less of a burden to the participant compared to a nominated network. However, given the structural differences between the networks and the number of connections per wave, the communication and proximity networks should not be used as direct substitutes for sociometric nominations, and researchers should bear in mind what type of connections they wish to assess.

Rapid Assessment Instruments

Accurate measurement is essential for effective social work practice, but doing it well can be difficult. One solution is to use rapid assessment instruments (RAIs), which are brief scales that typically require less than 15 minutes to complete. Some are administered by practitioners, but most are self-administered on paper or electronically. RAIs are available for screening, initial assessment, monitoring of service progress, and outcome evaluation. Some require author permission, others are sold commercially, and many more are free and in the public domain. Selection of an RAI should be based first on its psychometric strength, including content, concurrent, and known-groups validity, as well as on types of reliability such as internal consistency, but practical criteria such as readability are also important. And when used in practice settings, RAIs should be part of a well-rounded measurement plan that also includes behavioral observations, client logs, unobtrusive measures, and other approaches.