Psychology still relies often on questionnaires to gather data. Despite ubiquitous computing and internet, these are often still conducted with paper and clipboard. Where the internet is used, standalone questionnaires from bulk providers like Survey Monkey are the norm. For our studies related to social networks on online disclosure, we have developed a custom site for online questionnaires, designed to engage participants and allow linking of data from one study to the next – PsyQu.com PsyQu is a modern website developed around a database and as such has a ‘schema’. This data structure encapsulates the project, researcher(s) and participant(s) in a manner that allows for participants to link multiple attempts at multiple studies under their single account. This will allow cross-linked and longitudinal studies to be performed. By moving beyond standalone questionnaires, we hope to discover new correlative and predictive patterns between online behavior and other psychological dimensions. At present, the site is in alpha testing mode with only 1 group of researchers and 3 studies: social capital, online self-disclosure and personality. In the social capital study, we used a standard scale for investigating online social capital and social trust, in an attempt to find out differences between various groups. A paper survey was also conducted in order to compare with the online survey since there has been debate on the reliability of online participation. We will present the website, initial results of the social capital study.

This qualitative study, entitled "Understanding the Why and How of Psychological science (UWHPS)", sought to better understand the fundamental practices of individual psychology researchers: their aims, methodologies, and epistemologies. We wanted to learn whether these practices were embedded within, or even driven by, a wider philosophical framework. Hence, the goal was to describe and understand their research practices, seeking idiosyncrasy and unity alike. In doing so, the aim was to construct a picture of what these psychology researchers thought about scientific method within psychology, and where these ideas came from. After conducting 13 interviews, we constructed a preliminary grounded theory about their views on scientific method.

This data set contains the primary data from a survey on attitudes towards the DGPs Data Management Recommendations (Schönbrodt, Gollwitzer & Abele-Brehm, 2017, Psychologische Rundschau) as well as attitudes towards public data sharing among members of the German Psychological Society (DGPs). The survey has been conducted in November 2017. The link has been shared via the societies' mailing list and two follow-up mails have been sent one week, and two weeks, after the initial invitation, respectively. The survey has been conducted in German and all data files are in German. The data are available as a .csv, .xls, and a .sav file (suitable for SPSS), the .pdf file contains a codebook.:

The COVID-19 Psychological Research Consortium (C19PRC) Study aims to monitor and assess the long-term psychological, social, political and economic impact of the COVID-19 pandemic on the UK general population. A longitudinal, internet panel survey was designed to assess: (1) COVID-19 related knowledge, attitudes and behaviours, (2) the occurrence of common mental health disorders, as well as the role of (3) psychological factors, and (4) social and political attitudes in influencing the public’s response to the pandemic. Quota sampling was used to recruit a nationally representative sample of adults in terms of age, sex and household income. The first C19PRC survey was launched on 23 March 2020 (Wave 1), the day that a strict lockdown was enforced across the UK, and recruited 2025 UK adults. As of February 2022, six follow-up surveys have been conducted: Wave 2, April/May 2020; Wave 3, July/August 2020; Wave 4, Nov/Dec 2020; Wave 5, March/April 2021; Wave 6, Aug/Sept 2021; and Wave 7, Nov/Dec 2021. The baseline sample was representative of the UK population in relation to economic activity, ethnicity, and household composition. Data collection for the C19PRC Study is ongoing, with subsequent follow-up surveys being conducted during 2022 (Waves 8 and 9). C19PRC Study data has strong generalisability to facilitate and stimulate interdisciplinary research on important pandemic-related public health questions. It will allow changes in mental health and psychosocial functioning to be investigated from the beginning of the pandemic, identifying vulnerable groups in need of support. Find out more about the study at https://www.sheffield.ac.uk/psychology-consortium-covid19

Abstract This paper aims to promote an understanding on how psychologists of the Department of Public Health Care of the city of Montes Claros - MG, in 2015, see these three relevant areas: psychotherapy, psychotropic drugs, and the relationship between them. It refers to a study, of quantitative kind, cross-sectional, exploratory approach and design case study. It was conducted by an analysis of 27 questionnaires Psychologists in the period between January and July 2015. Through discussion and results, it was possible to understand that most psychologists perceive psychiatric drugs as helpers in the psychotherapeutic process and agree that some patients need to use psychoactive drugs during this process. In conclusion then, this research enabled us to understand as is currently the scene of psychological care in the municipal health network of Montes Claros- MG.

This record contains the underlying research data for the publication "Estimating the reproducibility of psychological science" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5257Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.

Psychological Testing Software Market Outlook

The global psychological testing software market size was estimated at approximately $1.2 billion in 2023 and is projected to reach around $3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5%. The market growth is primarily driven by the increasing need for mental health assessments, advancements in technology, and growing awareness of mental health issues worldwide. This burgeoning market is receiving heightened attention due to the rising prevalence of psychological disorders, the increasing adoption of digital health technologies, and the growing emphasis on mental health wellness across various sectors.

One of the primary growth factors for the psychological testing software market is the rising prevalence of mental health issues globally. With mental health conditions such as depression, anxiety, and stress disorders becoming more common, there is a heightened need for accurate and efficient diagnostic tools. Psychological testing software provides clinicians with reliable data to diagnose patients effectively, thereby improving treatment outcomes. Additionally, technological advancements in artificial intelligence and machine learning have enhanced the accuracy and effectiveness of these testing tools, making them indispensable in modern psychological practice.

Another significant driver for market growth is the increasing adoption of digital health technologies. The ongoing digital transformation in healthcare has paved the way for the integration of advanced software solutions in psychological assessments. Cloud-based platforms and mobile applications have made psychological testing more accessible and convenient, allowing both practitioners and patients to benefit from real-time data and remote consultations. This shift towards digital solutions is further fueled by the global pandemic, which has accelerated the adoption of telehealth services, including psychological assessments.

The growing awareness and destigmatization of mental health issues are also contributing to the market's expansion. Governments, non-profit organizations, and healthcare providers are increasingly focusing on mental health awareness campaigns, which are encouraging more individuals to seek psychological help. Educational institutions and corporate organizations are recognizing the importance of mental health and investing in psychological testing software to support their students and employees. These initiatives are creating a favorable environment for the growth of this market.

Assessment Software plays a pivotal role in the psychological testing landscape by providing a structured and efficient way to evaluate various mental health conditions. These software solutions are designed to streamline the assessment process, offering standardized tests that can be administered digitally. This not only enhances the accuracy of the assessments but also allows for a more comprehensive analysis of the results. As the demand for mental health services continues to rise, the adoption of assessment software is becoming increasingly crucial for healthcare providers, educational institutions, and corporate organizations. By leveraging these tools, practitioners can ensure that they are delivering the highest quality of care and support to their patients and clients.

Regionally, North America holds a significant share of the psychological testing software market, driven by the presence of advanced healthcare infrastructure, high adoption rates of digital health technologies, and a proactive approach to mental health. Europe follows closely, with an increasing focus on mental health policies and rising demand for psychological assessments. The Asia Pacific region is expected to witness substantial growth, attributed to the increasing awareness of mental health issues, rising healthcare expenditure, and advancements in healthcare technologies. Latin America and the Middle East & Africa, while currently smaller markets, are also anticipated to grow due to increasing healthcare initiatives and expanding digital health infrastructure.

Product Type Analysis

The psychological testing software market is segmented by product type into cognitive assessment software, personality assessment software, neuropsychological assessment software, and others. Each of these segments plays a crucial role in diagnosing and treating various psychological conditions, and their demand is influenced by different factors.&l

In Aotearoa New Zealand’s dynamic and ever-evolving organizational landscape, success is often contingent upon more than just financial capital, tangible assets, or market positioning. The intangible aspects of human capital, particularly psychological capital, have garnered increasing attention among scholars, researchers, and practitioners in Aotearoa New Zealand. Psychological capital, often abbreviated as PsyCap, represents a multifaceted construct encompassing positive psychological resources that individuals possess, and which have been demonstrated to play a pivotal role in personal well-being and organizational performance. This introduction aims to provide a comprehensive overview of psychological capital, elucidating its conceptual foundations, measurement approaches, antecedents, consequences, and implications for individuals and organizations across our country.

This new data in Excel file were from a study regarding cyberbullying victimization, resilience and depression among university students in Saudi Arabia. The data are valuable as it shows the trend of cyberbullying behaviour among university students and it relates to psychological problems such as depression. However, having resilience can buffer this negative effect. Results showed significant positive correlations between cyberbullying victimization and depression, and a significant negative correlation between resilience and depression. This means that if students have higher resilience, they obtain lower scores in depression.

Most psychologists are likely to have at least some clients bring a dream into therapy. In the few studies looking at the use of dreams in therapy, therapists report that they do not feel confident or competent to adequately respond to their clients' introduction of dream material in therapy. The possible consequences of this include a negative impact on the therapeutic alliance and misinterpretation of the therapist's rejection of a dream narrative as a disinterest in the client's inner life. This research project seeks to identify psychologists' and psychology clients' understanding of their experiences of the use of dream material in therapy and their understanding of the role of dreams in contemporary psychological practice. While there have been some surveys about the use of dreams in therapy, relatively little is known about this topic, so a phenomenological, qualitative approach will be used. This research will be broken into two studies. The first study will use semi-structured interviews to interview psychologists and the second study will use semi-structured interviews to interview psychology clients. A hermeneutic phenomenological analysis of the interview transcripts will be completed with the aid of Dedoose software.

Dataset description

This dataset contains fMRI data from adults from one paper, with two experiments in it:

Liu, S., Lydic, K., Mei, L., & Saxe, R. (in press, Imaging Neuroscience). Violations of physical and psychological expectations in the human adult brain. Preprint: https://doi.org/10.31234/osf.io/54x6b

All subjects who contributed data to this repository consented explicitly to share their de-faced brain images publicly on OpenNeuro. Experiment 1 has 16 subjects who gave consent to share (17 total), and Experiment 2 has 29 subjects who gave consent to share (32 total). Experiment 1 subjects have subject IDs starting with "SAXNES*", and Experiment 2 subjects have subject IDs starting with "SAXNES2*".

• code/ contains contrast files used in published work
• sub-SAXNES*/ contains anatomical and functional images, and event files for each functional image. Event files contains the onset, duration, and condition labels
• CHANGES will be logged in this file

Tasks

• VOE (Experiment 1 version): Novel task using hand-crafted stimuli from developmental psychology, showing violations of object solidity and support, and violations of goal-directed and efficient action. There were only 4 sets of stimuli in this experiment, that repeated across runs. Shown in mini-blocks of familization + two test events.
• VOE (Experiment 2 version): Novel task including all stimuli from Experiment 1 except for support, showing violations of object permanence and continuity (from ADEPT dataset; Smith et al. 2019) and violations of goal-directed and efficient action (from AGENT dataset; Shu et al. 2021). Shown in pairs of familiarization + one test event (either expected or unexpected). All subjects saw one set of stimuli in runs 1-2, and a second set of stimuli in runs 3-4. If someone saw an expected outcome from a scenario in one run, they saw the unexpected outcome from the same scenario in the other run.
• DOTS (2 runs, both Exp 1-2): Task contrasting social and physical interaction (Fischer et al. 2016, PNAS). Designed to localize regions like the STS and SMG.
• Motion: Task contrasting coherent and incoherent motion (Robertson et al. 2014, Brain). Designed to localize area MT.
• spWM: Task contrasting a hard vs easy spatial working memory task (Fedorenko et al., 2013, PNAS). Designed to localize multiple demand regions.

There are (anonymized) event files associated with each run, subject and task, and contrast files.

Event files

All event files, for all tasks, have the following cols: onset_time, duration, trial_type and response_time. Below are notes about subject-specific event files.

• sub-SAXNES2s001: The original MotionLoc outputs list the first block, 10s into the experiment, as the first event. This was preceded by a 10s fixation. For s001, prior to updating the script to reflect this 10s lag, we had to do some estimation - we saw that on average, each block was 11.8s but there was usually a .05s delay, such that each block started ~11.85s after the previous one. Thus we calculated start times as 11.85 after the previous block. For the rest of the subjects, the outputs were not manipulated - we just added an event to the start of the run.
• sub-SAXNES2s013: no event files for DOTS run2; event files use approximate timings instead based on inferred information about block order
• sub-SAXNES2s018 (excluded from sample): no event files, because this subject stopped participating without having contributed a complete, low-motion run, for which it was clear they were following the instructions for the task
• sub-SAXNES2s019: no time to do run2 of DOTS or Motion, so only 1 run for those two
• sub-SAXNES2s023, the event files from spWM run 1 did not save during scanning. We use timings from the default settings of condition 1 but we do not have trial-level data from this person.

For the DOTS and VOE event files from Experiment 1, we have the additional columns:

• experimentName ('DotsSocPhys' or 'VOESocPhys')
• correct: at the end of the trial, subs made a response. In DOTS, they indicated whether the dot that disappeared reappeared at a plausible location. In VOE, they pressed a button when the fixation appeared as a cross rather than a plus sign. This col indicates whether the sub responded correctly (1/0)
• stim_path: path to the stimuli, relative to the root BIDS directory, i.e. BIDS/stimuli/DOTS/xxxx

For the DOTS event files from Experiment 2, we have the additional columns:

• participant: redundant with the file name
• experiment_name: name of the task, redundant with file name
• block_order: which order the dots trials happened in (1 or 2)
• prop_correct: the proportion of correct responses over the entire run

For the Motion event files from Experiment 2, we have the additional columns:

• experiment_name: name of the task, redundant with file name
• block_order: which order the dots trials happened in (1 or 2)
• event: the index of the current event (0-22)

For the spWM event files from Experiment 2, we have the additional columns:

• experiment_name: name of the task, redundant with file name
• participant: redundant with the file name
• block_order: which order the dots trials happened in (1 or 2)
• run_accuracy_hard: the proportion of correct responses for the hard trials in this run
• run_accuracy_easy: the proportion of correct responses for the easy trials in this run

For the VOE event files from Experiment 2, we have the additional columns:

• trial_type_specific: identifies trials at one more level of granularity, with respect to domain task and event (e.g. psychology_efficiency_unexp)
• trial_type_morespecific: similar to trial_type_specific but includes information about domain task scenario and event (e.g. psychology_efficiency_trial-15-over_unexp)
• experiment_name: name of the task, redundant with file name
• participant: redundant with the file name
• correct: whether the response for this trial was correct (1, or 0)
• time_elapsed: how much time as elapsed by the end of this trial, in ms
• trial_n: the index of the current event
• correct_answer: what the correct answer was for the attention check (yes or no)
• subject_correct: whether the subject in fact was correct in their response
• event: fam, expected, or unexpected
• identical_tests: were the test events identical, for this trial?
• stim_ID: numerical string picking out each unique stimulus
• scenario_string: string identifying each scenario within each task
• domain: physics, psychology (psychology-action), both (psychology-environment)
• task: solidity, permanence, goal, efficiency, infer-constraints, or agent-solidity
• prop_correct:the proportion of correct responses over the entire run
• stim_path: path to the stimuli, relative to the root BIDS directory, i.e. BIDS/stimuli/VOE/xxxx

Associated Links

• OSF: https://osf.io/sa7jy/

Contemporary discussions about operational definition often hark back to Stanley S. Stevens' classic papers on psychological operationism. Still, he was far from the only psychologist to call for conceptual hygiene. Some of Stevens' direct colleagues at Harvard-most notably B. F. Skinner and E. G. Boring-were also actively applying Bridgman's conceptual strictures to the study of mind and behavior. In this paper, I shed new light on the history of operationism by reconstructing the Harvard debates about operational definition in the years before Stevens published his seminal articles. Building on a large set of archival evidence from the Harvard University Archives, I argue that we can get a more complete understanding of Stevens' contributions if we better grasp the operationisms of his former teachers and direct colleagues at Harvard's Department of Philosophy and Psychology.

Questions, answers, and metadata collected from 1350 Protestant Work Ethic Scales. The data was hosted on OpenPsychometrics.org a nonprofit effort to educate the public about psychology and to collect data for psychological research. Their notes on the data collected in the codebook.txt

The Protestant Work Ethic is a concept coined by the sociologist Max Weber in 1905. He hypothesized that Northern European countries were more economically productive than Southern European ones because their Protestantism promoted the values of labor and discipline, in contrast with Catholicism which valued ceremony and confession. The PWE was originally conceived as a property of culture, but in the 1960s some psychologists tried to study it on an individual level. The Protestant Work Ethic Scale was published in 1971 by Herbert Mirels and James Garret for use in this line of research.

Questions, answers, and metadata collected from 601 Kentucky Inventory of Mindfulness Skills. The data was hosted on OpenPsychometrics.org a nonprofit effort to educate the public about psychology and to collect data for psychological research. Their notes on the data collected in the codebook.txt

From Wikipedia:

The Kentucky Inventory of Mindfulness Skills (KIMS) is a 39-item self-report measuring Mindfulness on four scales: Observing, Describing, Act With Awareness, and Accept Without Judgment. It was developed at Kentucky University by Baer, Smith, & Allen in 2004. A short, 20-item version of it (KIMS-Short) was developed in Germany in 2011 and enables researchers to replicate the basic factor structure. However KIMS-Short shows the Observing subscale as comprising two different but strongly correlated factors depending on whether the observed stimuli are internal or external. Good support has been found for the model of four correlated factors, and the scales have been found to be both highly internally consistent and sensitive to change through Mindfulness-Based Cognitive Therapy.

Questions, answers, and metadata collected from 4,270 Duckworth Grit Scales. The data was hosted on OpenPsychometrics.org a nonprofit effort to educate the public about psychology and to collect data for psychological research. Their notes on the data collected in the codebook.txt

From Wikipedia:

In psychology, grit is a positive, non-cognitive trait based on an individual's perseverance of effort combined with the passion for a particular long-term goal or end state (a powerful motivation to achieve an objective). This perseverance of effort promotes the overcoming of obstacles or challenges that lie on the path to accomplishment and serves as a driving force in achievement realization. Distinct but commonly associated concepts within the field of psychology include "perseverance", "hardiness", "resilience", "ambition", "need for achievement" and "conscientiousness". These constructs can be conceptualized as individual differences related to the accomplishment of work rather than talent or ability. This distinction was brought into focus in 1907 when William James challenged the field to further investigate how certain individuals are capable of accessing richer trait reservoirs enabling them to accomplish more than the average person, but the construct dates back at least to Francis Galton, and the ideals of persistence and tenacity have been understood as a virtue at least since Aristotle.

Grit was defined as "perseverance and passion for long-term goals" by psychologist Angela Duckworth and colleagues, who extensively studied grit as a personality trait. They observed that individuals high in grit were able to maintain their determination and motivation over long periods despite experiences with failure and adversity. They concluded that grit is a better predictor of success than intellectual talent (IQ), based on their evaluation of educational attainment by adults, GPA among Ivy League undergraduates, dropout rate of cadets at West Point US Military Academy, and ranking in the National Spelling Bee.

Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along with classical social, economic and meteorological variables as predictors of suicide over 3 years (2008 through 2010). Both social media variables were powerfully associated with suicide frequency. The suicide variable displayed high variability and was reactive to celebrity suicide events, while the dysphoria variable showed longer secular trends, with lower variability. We interpret these as reflections of social affect and social mood, respectively. In the final multivariate model, the two social media variables, especially the dysphoria variable, displaced two classical economic predictors – consumer price index and unemployment rate. The prediction model developed with the 2-year training data set (2008 through 2009) was validated in the data for 2010 and was robust in a sensitivity analysis controlling for celebrity suicide effects. These results indicate that social media data may be of value in national suicide forecasting and prevention.

This environment contains the data and the R code for the purpose of replication, reanalysis, new analysis, and reinterpretation of the study results. The data sets "DataPlayer1" and "DataPlayer2" consist of psychological and physiological time series across one football season of two individual professional youth players. More detailed information about what kind of data we collected and how can be retrieved from the article.

This project aimed to understand the public acceptability of a Low Emission Zone in the city of Bath, UK (formally known as the 'Clean Air Zone'). The dataset consists of socio-demographic, travel-related, and psychological variables, and a measure of Low Emission Zone acceptability.

This data collection was designed to examine the effectiveness of a New York City agency's attempt to decrease the negative emotions that result from victimization. The data address the following questions: (1) To what extent do specific treatments mitigate the negative psychological impact of victimization? (2) Are individuals from a particular demographic group more prone to suffer from psychological adjustment problems following victimization? (3) When victimized, do individuals blame themselves or the situation? (4) Are some crimes more difficult to cope with than others? (5) Does previous victimization affect the likelihood that an individual will have difficulty coping with current as well as future victimization? Data were collected in two waves, with Wave 1 interviews completed within one month of the victimization incident and Wave 2 interviews completed three months after treatment. The effects of three treatments were measured. They included: traditional crisis counseling (which incorporates psychological aid and material assistance such as food, shelter, cash, etc.), cognitive restructuring (challenges to "irrational" beliefs about the world and one's self used in conjunction with crisis counseling), and material assistance only (no psychological aid provided). A fourth group of victims received no treatment or services. Three standardized psychometric scales were used in the study. In addition to these standardized scales, the initial assessment battery included an index of fear of crime as well as an index that measured behavior adjustment. Another set of measures assessed how victims perceived their experience of victimization and included items on self-blame, selective evaluation, and control. Also included were questions about the crime and precautions taken to guard against future victimization. The follow-up assessment battery was virtually identical to the initial battery, except that questions about services and social support received by the victim were added. The following demographic variables are included in the data: sex, age, marital status, education, income, and race. The unit of analysis was the individual.

When confronted with coercive threats, targets often stand firm rather than back down. We identify one important yet unrecognized factor that causes actors to resist threats: psychological reactance. Reactance theory explains that when someone perceives a threat to their freedom to make choices, they attempt to restore their autonomy by refusing to capitulate. The result is unwillingness to concede to coercion that extends beyond rational incentives. We test for reactance as a cause of coercion failure with two novel experiments. Each experiment pairs a coercive threat treatment with a matched ‘natural costs’ counterpart that imposes the same choice on the target without intentional action by a coercer. Controlling for prominent alternative explanations including costs, benefits, power, credibility, and reputation, we find that the targets of threats capitulate less frequently and more often support aggression against their opponents.