scholarly journals Ideological measurement in social and political psychology

2020 ◽  
Author(s):  
Craig A. Harper

As social psychology undergoes marked changes in its approach to research (e.g., open science practices, and addressing the replication crisis), it is important to undertake a full review of the tools and measures that we have at our disposal. In addition, the growing sense of political and ideological polarization in contemporary western democracies necessitates a coherent and internally consistent approach to studying politically and ideologically sensitive topics. This paper explores the measurement and study of such topics, and posits that claims about (a)symmetries between ideological partisans may be rooted in different measurement approaches. That is, studies (and researchers) who report widespread differences (asymmetries) between partisan liberals and conservatives typically adopt individual difference designs that examine trait-level constructs. In contrast, those who typically report similarities (symmetries) between these groups collect situationally derived data. A more consistent and ecologically valid approach to studying partisan engagement with political topics is advocated, focusing on situational responses to ideologically salient scenarios, rather than placing our focus on results from decontextualized self-report individual difference measures. Underpinning this review are three key assertions. First, that our ideological homogeneity as a field blinds us to hidden biases in our methods. Second, that the aforementioned (a)symmetry camps talk past each other by adopting different epistemological approaches. Third, that addressing these shortcomings can allow us to better conform to the Mertonian norms of communalism, universalism, disinterestedness, and organized skepticism. In doing so, we can revive our status as an open, accurate, and reproducible scientific field.

2020 ◽  
Vol 117 (32) ◽  
pp. 19061-19071 ◽  
Author(s):  
Samantha Joel ◽  
Paul W. Eastwick ◽  
Colleen J. Allison ◽  
Ximena B. Arriaga ◽  
Zachary G. Baker ◽  
...  

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.


2018 ◽  
Author(s):  
Sarah Jane Charles ◽  
James Edward Bartlett ◽  
Kyle J. Messick ◽  
Thomas Joseph Coleman ◽  
Alex Uzdavines

There is a push in psychology toward more transparent practices, stemming partially as a response to the replication crisis. We argue that the psychology of religion should help lead the way toward these new, more transparent practices to ensure a robust and dynamic subfield. One of the major issues that proponents of Open Science practices hope to address is researcher degrees of freedom (RDF). We pre-registered and conducted a systematic review of the 2017 issues from three psychology of religion journals. We aimed to identify the extent to which the psychology of religion has embraced Open Science practices and the role of RDF within the subfield. We found that many of the methodologies that help to increase transparency, such as pre-registration, have yet to be adopted by those in the subfield. In light of these findings, we present recommendations for addressing the issue of transparency in the psychology of religion and outline how to move toward these new Open Science practices.


2006 ◽  
Vol 21 (4) ◽  
pp. 425-444 ◽  
Author(s):  
Jennifer Langhinrichsen-Rohling ◽  
Catalina Arata ◽  
Natalie O’Brien ◽  
David Bowers ◽  
Jeffrey Klibert

Distress related to answering personal survey questions about drug use, suicidal behavior, and physical and sexual abuse were examined in multiple convenience samples of adolescents. Samples varied in consent procedures utilized (active vs. passive parental consent), data collection setting (school vs. juvenile justice), developmental level (middle school vs. high school). Participation rates differed across consent procedures (e.g., 93% with passive vs. 62% with active parental consent). Results indicated that small percentages of adolescents in every sample reported frequently feeling upset while completing the survey (range 2.5% to 7.6%). Age, race, gender, and data collection strategy did not emerge as significant predictors of feeling upset. Instead, as hypothesized, adolescents reporting a history of suicidal ideation or attempt, illicit drug use, or experiences of physical or sexual victimization endorsed more frequent feelings of upset while completing the survey than peers without these experiences. Taken together, however, these sensitive event experiences explained only 6.6% of the variance in adolescents’ upset ratings. The scientific and ethical implications of these findings are discussed with regard to adolescent participation in survey research about sensitive topics.


2019 ◽  
Author(s):  
Michael Inzlicht ◽  
Malte Friese

At the center of social psychology just a few years ago, ego depletion is now widely seen as a controversial topic, one of the chief victims of the replication crisis. Despite over 600 studies of apparent support, many are now asking if ego depletion is even real. Here, we comment on the articles included in this Special Issue: Ego Depletion. Specifically, we delineate the contributions and limitations of these articles by embedding them in a brief history of ego depletion, describing the current state of uncertainty about ego depletion’s scientific status, and outlining necessary steps for the study of ego depletion to have a healthy future. To us, the most troubling aspect of this controversy is not what is suggests about ego depletion; but what it suggests about social psychology more broadly. If the mere existence of ego depletion is seriously doubted by many, what can be confidently regarded as real in social psychology? By increasing the precision of our theories, continuously validating our manipulations and measures, and practicing the full suite of open science practices we have the potential to identify legitimate and robust effects and build a cumulative and trustworthy psychological science.


2022 ◽  
Author(s):  
Bermond Scoggins ◽  
Matthew Peter Robertson

The scientific method is predicated on transparency -- yet the pace at which transparent research practices are being adopted by the scientific community is slow. The replication crisis in psychology showed that published findings employing statistical inference are threatened by undetected errors, data manipulation, and data falsification. To mitigate these problems and bolster research credibility, open data and preregistration have increasingly been adopted in the natural and social sciences. While many political science and international relations journals have committed to implementing these reforms, the extent of open science practices is unknown. We bring large-scale text analysis and machine learning classifiers to bear on the question. Using population-level data -- 93,931 articles across the top 160 political science and IR journals between 2010 and 2021 -- we find that approximately 21% of all statistical inference papers have open data, and 5% of all experiments are preregistered. Despite this shortfall, the example of leading journals in the field shows that change is feasible and can be effected quickly.


2021 ◽  
Vol 37 (4) ◽  
pp. 1-6
Author(s):  
Jason M. Lodge ◽  
Linda Corrin ◽  
Gwo-Jen Hwang ◽  
Kate Thompson

Over the last decade a spate of issues has been emerging in empirical research spanning diverse fields such as biology, medicine, economics, and psychological science. The crisis has already led to fundamental shifts in how research is being conducted in several fields, particularly psychological science. Broadly labelled the ‘replication crisis’, these issues place substantial doubt on the robustness of peer-reviewed quantitative research across many disciplines. In this editorial, we will delve into the replication crisis and what it means for educational technology research. We will address two key areas, describing the extent to which the replication crisis applies to educational technology research and suggestions for responses by our community.


2018 ◽  
Vol 39 (5) ◽  
pp. 679-690 ◽  
Author(s):  
Chao Miao ◽  
Ronald H. Humphrey ◽  
Shanshan Qian

Purpose Authentic leadership is a popular leadership construct that stimulates considerable scholarly interest and has received substantial attention from practitioners. Among different individual difference variables, there has been a growing interest in studying the connection between emotional intelligence (EI) and authentic leadership; nevertheless, most of the existing literature on this relation was atheoretical and the results for this relation were mixed. Thus, the purpose of this paper is to clarify the relation between EI and authentic leadership. Design/methodology/approach A meta-analysis was conducted to examine the relation between EI and authentic leadership and the moderators that affect this relation. Findings The results of the present study indicated that: EI is significantly and positively related to authentic leadership (overall EI: ρ ¯ ˆ = 0.49 ; ability EI: ρ ¯ ˆ = 0.08 ; self-report EI: ρ ¯ ˆ = 0.52 ; mixed EI: ρ ¯ ˆ = 0.49 ); self-report EI and mixed EI have larger associations with authentic leadership than ability EI has; and the relation between EI and authentic leadership does not differ between male-dominated and female-dominated studies. Originality/value The present study couches the relation between EI and authentic leadership in theories and identifies important moderators for this relation which explain the heterogeneity in effect sizes for this relation across studies.


2021 ◽  
Author(s):  
P. Priscilla Lui ◽  
Monica C. Skewes ◽  
Sarah Gobrial ◽  
David Rollock

To answer questions about human psychology, psychological science needs to yield credible findings. Because of their goals of understanding people’s lived experiences and advocating for the needs of the Native communities, Indigenous scholars tend to use community-based participatory research (CBPR) or approach science from a constructivist framework. The primary goal of mainstream psychological science is to uncover generalizable facts about human functioning. Approached from a postpositivist framework, mainstream psychological scholars tend to assume the possibility of identifying researcher biases and achieving objective science. Recently, many psychological findings fail to replicate in new samples. The replication crisis raised concerns about the validity of psychological science. The mainstream open science has been promoted as a solution to this replication crisis; the open science movement encourages researchers to emphasize transparency and accountability to the broad research community. The notion of transparency aligns with the principles of CBPR—research approach common in Indigenous research. Yet, open science practices are not widely adopted in Indigenous research, and mainstream open science does not emphasize researchers’ accountability to the communities that their science is intended to serve. We examined Indigenous researchers’ awareness and concerns about mainstream open science. Participants endorsed the value of transparency with the participants and their communities. They also were concerned about being disadvantaged and the possible negative impact of data sharing on the Native communities. We suggest that there is value in connecting mainstream open science and Indigenous research to advance science that empowers people and makes positive community impact.


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