Incorporating Social Media into your Support Tool Box: Points to Consider from Genetics-Based Communities

Patients with newly-described or rare genetic findings are turning to social media to find and connect with others. Blogs, Facebook groups, and Twitter have all been reported as tools for patients to connect with one another. However, the preferences for social media use and privacy among patients, their families, and these communities have not been well characterized. To explore preferences about privacy and membership guidelines, an online survey was administered to two web-based patient registries, Simons Variation in Individuals Project (www.simonsvipconnect.org) and GenomeConnect (www.genomeconnect.org). Over a three-month period, invitations were sent to 2524 individuals and 103 responses (4%) were received and analyzed. Responses indicate that Facebook is the most popular resource accessed within this sample population (99%). Participants used social media to look for information about their diagnosis or test results (83%), read posts from rare disease groups or organizations (73%), participate in conversations about their diagnosis (67%), and connect with others to find support (58%). Focusing on privacy issues in social media, respondents indicate that membership and access impact the level of comfort in sharing personal or medical information. Nearly 60% of respondents felt uncomfortable sharing photos or medical information within a public Facebook group, whereas only 12% of respondents felt uncomfortable sharing in private group targeted to families alone. Using this preliminary data concerning social media use and privacy, we developed points for genetic counselors to incorporate when discussing available support resources for patients with a new, or rare, genetic diagnosis or genetic test result. Genetic counselors are trained to provide anticipatory guidance to families adapting to new genetic information, and are well-equipped to help patients consider their preferences about using social media as a source of information and support.     

Common Factors Come Alive: Practical Strategies for Implementing Common Factors in MFT Training

Presently, MFT training programs teach MFT models in a way that emphasizes differences over similarities (Karam et al. in J Marital Fam Ther, 2015. doi: 10.1111/jmft.12096; Sprenkle and Blow in J Marital Fam Ther 30:113–129, 2004a. doi: 10.1111/j.1752-0606.2004.tb01228.x, in J Marital Fam Ther 30:151–157, b. doi: 10.1111/j.1752-0606.2004.tb01230.x; Sprenkle et al. in Common factors in couple and family therapy: the overlooked foundation for effective practice. Guilford Press, New York, 2009). Although teaching a variety of models and their distinctiveness is vital, doing so may create a competitive rather than integrative relationship between models (Karam et al. 2015). While Karam et al. 2015 encourage the inclusion of common factors in MFT training, we expand their justification for the importance of doing so We also explain conceptual and practical ways to include common factors in MFT training. Common factors instruction can fulfill multiple purposes: (a) create a sense of cohesiveness for programs which need to teach breadth of topics that can seem unrelated, (b) help prepare practitioners who need to learn many models well but will likely adopt an integrative approach, (c) align with basic skills training, (d) align with process research, and (e) enhance the richness of individual models. For each of these purposes, we provide an example of a classroom activity. We conclude with a unifying example of how one student may learn the common-factors perspective and weave it into her reflective practices as an MFT student.     

A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)

In recent decades, the amount of text available for organizational science research has grown tremendously. Despite the availability of text and advances in text analysis methods, many of these techniques remain largely segmented by discipline. Moreover, there is an increasing number of open-source tools (R, Python) for text analysis, yet these tools are not easily taken advantage of by social science researchers who likely have limited programming knowledge and exposure to computational methods. In this article, we compare quantitative and qualitative text analysis methods used across social sciences. We describe basic terminology and the overlooked, but critically important, steps in pre-processing raw text (e.g., selection of stop words; stemming). Next, we provide an exploratory analysis of open-ended responses from a prototypical survey dataset using topic modeling with R. We provide a list of best practice recommendations for text analysis focused on (1) hypothesis and question formation, (2) design and data collection, (3) data pre-processing, and (4) topic modeling. We also discuss the creation of scale scores for more traditional correlation and regression analyses. All the data are available in an online repository for the interested reader to practice with, along with a reference list for additional reading, an R markdown file, and an open source interactive topic model tool (topicApp; see https://github.com/wesslen/topicApp, https://github.com/wesslen/text-analysis-org-science, https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/R4W7ZS).     

No more than Conjectures: Popper and the Ethics of Scientific Enterprise

Karl Popper dealt with both problems Yurevich (Integrative Psychological and Behavioral Science, 43(2), 2009, doi: 10.1007/s12124-008-9082-7) deals: the crisis in Psychology and in the discourse about the nature of science. Although he failed to provide a complete response for both problems, his proposals can yet be fruitful to the reflection on these matters in the context of the present discussion. He offers some tentative answers to what could be considered a healthy epistemic activity, something Yurevich does not provide. More interestingly, some of the Popper proposals seem to fit, and in some extent correct, the quest for “collaborative work” proposed by Zittoun et al. (Integrative Psychological and Behavioral Science, 43(2), 2009, doi: 10.1007/s12124-008-9082-7) as a way of transforming crisis in development.     

Against Hamri’s argument for the ultimate ground of being

In this paper, I reply to Hamri's (Int J Philos Relig.  https://doi.org/10.1007/s11153-017-9625-2, 2017) new kind of cosmological argument for the ultimate ground of being by blocking the argument in more than one place.     

Further evidence in favor of prior entry from endogenous attention to a location in space

Titchener’s (1908) law of prior entry states that “the object of attention comes to consciousness more quickly than the objects which we are not attending to,” or otherwise, that attended stimuli are perceived earlier than unattended stimuli. Shore, Spence, and Klein (Psychological Science, 12, 205–212. doi: 10.1111/1467-9280.00337, 2001) showed that endogenous visuospatial orienting does in fact elicit prior-entry effects, albeit to a smaller degree than does exogenous visuospatial orienting. In disagreement with this finding, Schneider and Bavelier (Cognitive Psychology, 47, 333–366. doi: 10.1016/S0010-0285(03)00035-5, 2003) found no effect of their instruction to attend. They concluded that nonattentional effects could masquerade as prior entry, which could account for findings such as those in Shore et al.’s endogenous condition. We investigated this empirical and theoretical discord by replicating the temporal-order judgment task used by Shore, Spence, and Klein, while manipulating and measuring endogenous orienting by way of an orthogonal color probe task. We showed evidence of prior entry as a consequence of endogenous orienting, supporting the conclusions of Shore, Spence, and Klein.     

Introduction to Bayesian Inference for Psychology

We introduce the fundamental tenets of Bayesian inference, which derive from two basic laws of probability theory. We cover the interpretation of probabilities, discrete and continuous versions of Bayes’ rule, parameter estimation, and model comparison. Using seven worked examples, we illustrate these principles and set up some of the technical background for the rest of this special issue of Psychonomic Bulletin & Review. Supplemental material is available via https://osf.io/wskex/.     

Fake Journals: Not Always Valid Ways to Distinguish Them

In their recent paper, Esfe et al. (Sci Eng Ethics, doi: 10.1007/s11948-014-9595-z 2014) present some criteria for fake journals and propose some ‘features’ to recognize them. While I share most of the authors’ concerns about this issue in general, some of the reported criteria are not fit to differentiate fake journals from genuine ones. Here are some examples derived from their list, which illustrate that such criteria are not necessarily specific to fake journals only, but they could also apply to well-established journals and, therefore, should not be considered as is.     

CFS MATLAB toolbox: An experiment builder for continuous flash suppression (CFS) task

CFS toolbox is an open-source collection of MATLAB functions that utilizes PsychToolbox-3 (PTB-3). It is designed to allow a researcher to create and run continuous flash suppression experiments using a variety of experimental parameters (i.e., stimulus types and locations, noise characteristics, and experiment window settings). In a CFS experiment, one of the eyes at a time is presented with a dynamically changing noise pattern, while the other eye is concurrently presented with a static target stimulus, such as a Gabor patch. Due to the strong interocular suppression created by the dominant noise pattern mask, the target stimulus is rendered invisible for an extended duration. Very little knowledge of MATLAB is required for using the toolbox; experiments are generated by modifying csv files with the required parameters, and result data are output to text files for further analysis. The open-source code is available on the project page under a Creative Commons License (http://www.mikkonuutinen.arkku.net/CFS_toolbox/ and https://bitbucket.org/mikkonuutinen/cfs_toolbox).     

Introducing the Open Affective Standardized Image Set (OASIS)

We introduce the Open Affective Standardized Image Set (OASIS), an open-access online stimulus set containing 900 color images depicting a broad spectrum of themes, including humans, animals, objects, and scenes, along with normative ratings on two affective dimensions—valence (i.e., the degree of positive or negative affective response that the image evokes) and arousal (i.e., the intensity of the affective response that the image evokes). The OASIS images were collected from online sources, and valence and arousal ratings were obtained in an online study (total N = 822). The valence and arousal ratings covered much of the circumplex space and were highly reliable and consistent across gender groups. OASIS has four advantages: (a) the stimulus set contains a large number of images in four categories; (b) the data were collected in 2015, and thus OASIS features more current images and reflects more current ratings of valence and arousal than do existing stimulus sets; (c) the OASIS database affords users the ability to interactively explore images by category and ratings; and, most critically, (d) OASIS allows for free use of the images in online and offline research studies, as they are not subject to the copyright restrictions that apply to the International Affective Picture System. The OASIS images, along with normative valence and arousal ratings, are available for download from www.benedekkurdi.com/#oasis or https://db.tt/yYTZYCga.     

Default “Gunel and Dickey” Bayes factors for contingency tables

The analysis of R×C contingency tables usually features a test for independence between row and column counts. Throughout the social sciences, the adequacy of the independence hypothesis is generally evaluated by the outcome of a classical p-value null-hypothesis significance test. Unfortunately, however, the classical p-value comes with a number of well-documented drawbacks. Here we outline an alternative, Bayes factor method to quantify the evidence for and against the hypothesis of independence in R×C contingency tables. First we describe different sampling models for contingency tables and provide the corresponding default Bayes factors as originally developed by Gunel and Dickey (Biometrika, 61(3):545–557 (1974)). We then illustrate the properties and advantages of a Bayes factor analysis of contingency tables through simulations and practical examples. Computer code is available online and has been incorporated in the “BayesFactor” R package and the JASP program (jasp-stats.org).     

nodeGame: Real-time,synchronous, online experiments in the browser

nodeGame is a free, open-source JavaScript/ HTML5 framework for conducting synchronous experiments online and in the lab directly in the browser window. It is specifically designed to support behavioral research along three dimensions: (i) larger group sizes, (ii) real-time (but also discrete time) experiments, and (iii) batches of simultaneous experiments. nodeGame has a modular source code, and defines an API (application programming interface) through which experimenters can create new strategic environments and configure the platform. With zero-install, nodeGame can run on a great variety of devices, from desktop computers to laptops, smartphones, and tablets. The current version of the software is 3.0, and extensive documentation is available on the wiki pages at http://nodegame.org.     

Bayesian inference for psychology,part III: Parameter estimation in nonstandard models

We demonstrate the use of three popular Bayesian software packages that enable researchers to estimate parameters in a broad class of models that are commonly used in psychological research. We focus on WinBUGS, JAGS, and Stan, and show how they can be interfaced from R and MATLAB. We illustrate the use of the packages through two fully worked examples; the examples involve a simple univariate linear regression and fitting a multinomial processing tree model to data from a classic false-memory experiment. We conclude with a comparison of the strengths and weaknesses of the packages. Our example code, data, and this text are available via https://osf.io/ucmaz/.     

Acoustic behavior associated with cooperative task success in bottlenose dolphins (<Emphasis Type="Italic">Tursiops truncatus</Emphasis>)

Although many species have proven capable of cooperating to achieve common goals, the role of communication in cooperation has received relatively little attention. Analysis of communication between partners is vital in determining whether actions are truly cooperative rather than serendipitous or learned via trial and error (Chalmeau and Gallo in Behav Process 35:101–111, 1996a. doi: 10.1016/0376-6357(95)00049-6, Primates 37:39–47, 1996b. doi: 10.1007/BF02382918). Wild cetaceans often produce sounds during cooperative foraging, playing, and mating, but the role of these sounds in cooperative events is largely unknown. Here, we investigated acoustic communication between two male bottlenose dolphins while they cooperatively opened a container (Kuczaj et al. in Anim Cogn 18:543–550, 2015b. doi: 10.1007/s10071-014-0822-4). Analyses of whistles, burst pulses, and bi-phonations that occurred during four contexts (i.e., no container, no animals interacting with container, one animal interacting with container, and two animals interacting with container) revealed that overall sound production rate significantly increased during container interactions. Sound production rates were also significantly higher during cooperative successes than solo successes, suggesting that the coordination of efforts rather than the apparatus itself was responsible for the phonation increase. The most common sound type during cooperative successes was burst pulse signals, similar to past recordings of cooperative events in bottlenose dolphins (Bastian in Animal sonar systems. Laboratoire de Physiologie Acoustique, Jouy-en Josas, pp 803–873, 1967; Connor and Smolker 1996).     

Lotus Blossom or Dragon Lady: A Content Analysis of “Asian Women” Online Pornography

A content analysis was undertaken to consider the depiction of sexual behaviors in a random sample of videos from the “Asian Women” category of content on Xvideos.com, which is the largest and most popularly visited free online pornography tube site in US. The study has shown that women in the Asian women category were depicted very differently from women in other categories of pornography. Women in Asian women category of pornography were treated less aggressively. In addition, women in Asian women category were less objectified but also had lower agency in sexual activities. Thus, the Asian women stereotype in current pornography is closer to “Lotus Blossom” and far away from “Dragon Lady”. The results are considered in terms of their potential to influence the perceptions of content consumers.     

Delaying Disposing: Examining the Relationship between Procrastination and Clutter across Generations

We explored how two types of procrastination (indecision and behavioral), contribute to problems with clutter across three adult U.S. samples differing as generational cohorts. An online survey was administered to college students (mean age = 21) and younger adults recruited using Amazon’s Mechanical Turk (MTurk; mean age = 31), plus older adults recruited with help from the Institute for Challenging Disorganization (mean age = 54) (http://challengingdisorganization.org). Hierarchical linear regression revealed that behavioral procrastination contributed significantly to an increasingly larger percentage of explained variance in clutter problems across the generational cohorts in a series of separate analyses. The addition of indecision as a variable led to a significant incremental increase in explained variance for the younger and older adult samples, but not for the student sample. Clutter problems led to a significant decrease in satisfaction with life among older adults. Findings suggest that general procrastination tendencies may enable a lifelong pattern of responses to one’s environment that become increasingly maladaptive throughout the life cycle - simultaneously delaying disposal decisions.     

Dealing with the Conflicting Results of Psycholinguistic Experiments: How to Resolve Them with the Help of Statistical Meta-analysis

This paper proposes the use of the tools of statistical meta-analysis as a method of conflict resolution with respect to experiments in cognitive linguistics. With the help of statistical meta-analysis, the effect size of similar experiments can be compared, a well-founded and robust synthesis of the experimental data can be achieved, and possible causes of any divergence(s) in the outcomes can be revealed. This application of statistical meta-analysis offers a novel method of how diverging evidence can be dealt with. The workability of this idea is exemplified by a case study dealing with a series of experiments conducted as non-exact replications of Thibodeau and Boroditsky (PLoS ONE 6(2):e16782, 2011. https://doi.org/10.1371/journal.pone.0016782).     

The Measurement of Subjective Wellbeing: Item-Order Effects in the Personal Wellbeing Index—Adult

When multi-item questionnaires are included in psychological research, many factors can influence the response given. One such factor that has traditionally been overlooked is the potential impact of item-order effects. This paper extends upon the work of Kaplan et al. (J Happiness Stud 14:1443–1458, 2013. doi:  10.1007/s10902-012-9388-5) who explored item-order effects in measures of job satisfaction, and applies similar principles to the measurement of life satisfaction, or subjective wellbeing, by exploring item-order effects within the Personal Wellbeing Index (PWI; IWBG in Personal Wellbeing Index, 5th edn. Australian Centre on Quality of Life, Deakin University, Melbourne, 2013. http://www.deakin.edu.au/research/acqol/intruments/wellbeing-index/index.php). In a preliminary study, participants completed the PWI in its standard format (general-specific) and psychometric properties were compared to those who completed the PWI in an alternate format (specific-general). Analyses revealed that the PWI performed adequately for both groups, though there were subtle indications of item-order effects. In a second study, the order of the PWI domains was randomised (random-order) and compared to the standard format (fixed-order). Results revealed lower mean scores and more variation in scores when items were randomised. Overall, the PWI performed as expected for most interrogative analyses. It achieved a single factor solution, no matter the order of items, and the same domains emerged as significant unique predictors of general life satisfaction. The study highlights the importance of exploring item-order effects as part of the psychometric validation procedure, and it is recommended that all new scales be subject to this investigation to reduce measurement error and improve accuracy in psychological assessment.     

HelexKids: A word frequency database for Greek and Cypriot primary school children

In this article, we introduce HelexKids, an online written-word database for Greek-speaking children in primary education (Grades 1 to 6). The database is organized on a grade-by-grade basis, and on a cumulative basis by combining Grade 1 with Grades 2 to 6. It provides values for Zipf, frequency per million, dispersion, estimated word frequency per million, standard word frequency, contextual diversity, orthographic Levenshtein distance, and lemma frequency. These values are derived from 116 textbooks used in primary education in Greece and Cyprus, producing a total of 68,692 different word types. HelexKids was developed to assist researchers in studying language development, educators in selecting age-appropriate items for teaching, as well as writers and authors of educational books for Greek/Cypriot children. The database is open access and can be searched online at www.helexkids.org.     

TISK 1.0: An easy-to-use Python implementation of the time-invariant string kernel model of spoken word recognition

This article describes a new Python distribution of TISK, the time-invariant string kernel model of spoken word recognition (Hannagan et al. in Frontiers in Psychology, 4, 563, 2013). TISK is an interactive-activation model similar to the TRACE model (McClelland & Elman in Cognitive Psychology, 18, 1–86, 1986), but TISK replaces most of TRACE’s reduplicated, time-specific nodes with theoretically motivated time-invariant, open-diphone nodes. We discuss the utility of computational models as theory development tools, the relative merits of TISK as compared to other models, and the ways in which researchers might use this implementation to guide their own research and theory development. We describe a TISK model that includes features that facilitate in-line graphing of simulation results, integration with standard Python data formats, and graph and data export. The distribution can be downloaded from https://github.com/maglab-uconn/TISK1.0.