scholarly journals A systematic review of psychotherapy research topics (2000-2016): a computer-assisted approach

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Alessandro Gennaro ◽  
Omar C. G. Gelo ◽  
Gloria Lagetto ◽  
Sergio Salvatore
Keyword(s):  
Content Analysis ◽  
Mental Disorders ◽  
Clinical Efficacy ◽  
Psychotherapy Research ◽  
Computer Assisted ◽  
Research Topics ◽  
Chi Square ◽  
Automated Content Analysis ◽  
Clinical Relationship ◽  
Over Time

The present work aims to empirically map what has been investigated and which issues (i.e. topics) characterize the debates of psychotherapy research, using a computer-assisted, bottom-up method of content analysis. The abstract of papers (N=13,499), published between 2000-2016 and retrieved from a sample of 10 journals selected as representing the field of psychotherapy research, were subjected to a method of automated content analysis. Five different research topics were identified (clinical relationship, clinical efficacy, clinical practice and research, psychopathology, and neuroscientific approaches to mental disorders) and each abstract was labeled according to the retrieved research topic. Two different Chi-square analyses investigated the distributions of research topics over time and among the selected journals. Results concerning the distribution over time highlighted an increase in the clinical relationship and clinical efficacy topics and a decrease in the others. An examination of the distribution among journals showed that psychopathology and neuroscientific approaches to mental disorders were associated with psychiatric journals, while the others were associated with non-psychiatric journals. The findings are discussed in light of the theoretical, methodological, and practical implications offering pointers for a critical understanding of the current psychotherapy research domain.

Two Decades of Contributions to Marketing and Public Policy: An Analysis of Research Published in Journal of Public Policy & Marketing

2002 ◽  
Vol 21 (1) ◽  
pp. 105-125 ◽  
Author(s):  
David E. Sprott ◽  
Anthony D. Miyazaki
Keyword(s):  
Public Policy ◽  
Content Analysis ◽  
Citation Analysis ◽  
Policy Research ◽  
Research Topics ◽  
Public Policy Research ◽  
History Of ◽  
The Impact ◽  
Over Time

The authors examine the first 20 years of Journal of Public Policy & Marketing (JPP&M) to understand the nature, influences, and impact of marketing and public policy research published in the journal. After discussing the history of JPP&M, the authors report three related sets of analyses based on all articles published since the journal's inception. Specifically, a content analysis examines the scope and depth of research topics over time. Next, publication analyses assess how various authors and institutions have influenced the field through publishing in the journal. Finally, a citation analysis shows the impact of JPP&M articles on research published in journals of related fields.

Where the wind blows: Five Star Movement’s populism, direct democracy and ideological flexibility

2017 ◽  
Vol 48 (1) ◽  
pp. 109-132 ◽  
Author(s):  
Luca Manucci ◽  
Michi Amsler
Keyword(s):  
Content Analysis ◽  
Social Context ◽  
Direct Democracy ◽  
The Other ◽  
The Political ◽  
Large Space ◽  
The Core ◽  
Automated Content Analysis ◽  
Five Star Movement ◽  
Over Time

The paper focusses on the online political discourse of the Five Star Movement (5SM) and its strategic adaptability. The main goal of the analysis is to establish how salient several topics are over time in order to test the party’s ideological flexibility. Indeed, 5SM’s post-ideological approach and its emphasis on direct-democratic tools might constitute a winning formula for other populist parties willing to exploit the crisis of the mainstream parties and representation. The paper, through an automated content analysis, tracks the longitudinal evolution of the salience of the topics addressed by 5SM on the party’s blog. This allows us to establish which topics are at the core of the party’s message and which, on the other hand, have been raised strategically over time. Results show that 5SM’s discourse is very flexible and adaptable: it devotes a large space to the importance of direct democracy while flexibly addressing different topics depending on the political and social context.

Theories and methods in CSRC research: a systematic literature review

2019 ◽  
Vol 24 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Annamaria Tuan ◽  
Daniele Dalli ◽  
Alessandro Gandolfo ◽  
Anastasia Gravina
Keyword(s):  
Corporate Social Responsibility ◽  
Content Analysis ◽  
Social Responsibility ◽  
Future Research ◽  
Instrumental Approach ◽  
Content Type ◽  
Normative Approach ◽  
Automated Content Analysis ◽  
Corporate Social ◽  
Over Time

Purpose The authors have systematically reviewed 534 corporate social responsibility communication (CSRC) papers, updating the current debate about the ontological and epistemological paradigms that characterize the field, and providing evidence of the interactions between these paradigms and the related methodological choices. The purpose of this paper is to provide theoretical and methodological implications for future research in the CSRC research domain. Design/methodology/approach The authors used the Scopus database to search for titles, abstracts and related keywords with two queries sets relating to corporate social responsibility (e.g. corporate ethical, corporate environmental, social responsibility, corporate accountability) and CSRC (e.g. reporting, disclosure, dialogue, sensemaking). The authors identified 534 empirical papers (2000–2016), which the authors coded manually to identify the research methods and research designs (Creswell, 2013). The authors then developed an ad hoc dictionary whose keywords relate to the three primary CSRC approaches (instrumental, normative and constitutive). Using the software Linguistic Inquiry and Word Count, the authors undertook an automated content analysis in order to measure these approaches’ relative popularity and compare the methods employed in empirical research. Findings The authors found that the instrumental approach, which belongs to the functionalist paradigm, dominates the CSRC literature with its relative weight being constant over time. The normative approach also belongs to the functionalist paradigm, but plays a minor yet enduring role. The constitutive approach belongs to the interpretive paradigm and grew slightly over time, but still remains largely beyond the instrumental approach. In the instrumental approach, many papers report on descriptive empirical analyses. In the constitutive approach, theory-method relationships are in line with the various paradigmatic traits, while the normative approach presents critical issues. Regarding methodology, according to the findings, the literature review underlines three major limitations that characterize the existing empirical evidence and provides avenues for future research. While multi-paradigmatic research is promoted in the CRSC literature (Crane and Glozer, 2016; Morsing, 2017; Schoeneborn and Trittin, 2013), the authors found no empirical evidence. Originality/value This is the first paper to systematically review empirical research in the CSRC field and is also the first to address the relationship between research paradigms, theoretical approaches, and methods. Further, the authors suggest a novel way to develop systematic reviews (i.e. via quantitative, automated content analysis), which can now also be applied in other literature streams and in other contexts.

scholarly journals 1136. Trends in Speaker Representation at the Infectious Diseases Society of America (IDSA) IDWeek Conference, 2013-2019

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S597-S597
Author(s):  
Jasmine R Marcelin ◽  
Rohan Khazanchi ◽  
Elizabeth Lyden ◽  
Kelly Cawcutt ◽  
Ravina Kullar ◽  
...  
Keyword(s):  
Gender Equity ◽  
Linear Increase ◽  
Program Committee ◽  
Chi Square ◽  
Poster Sessions ◽  
Professional Degree ◽  
Race Ethnicity ◽  
Chi Square Analysis ◽  
Changes Over Time ◽  
Over Time

Abstract Background Over the last decade, there have been sustained efforts to diversify the healthcare workforce. In 2016, the IDWeek Program Committee was charged to ensure gender equity in speaker sessions. Whether this intervention also resulted in more opportunities for underrepresented speakers has not been determined. Methods This project was supported by IDSA, who provided demographic information on IDWeek speakers (excluding poster sessions) from 2013-2019. Data were summarized using descriptive statistics, and chi-square analysis evaluated changes over time. Each speaker slot was considered an independent event. Data was combined for 2013-2016 (≤2016) and 2017-2019 (>2016). IDSA membership demographics were available from 2014 for gender, race/ethnicity, from 2016 for age, and from 2018 for professional degree. Results A total of 3640 speaker slots were filled by 2504 individuals from 2013-2019. A larger proportion of speaker slots were filled by women >2016 (51%) vs ≤ 2016 (43%), with a linear increase from 38.6% in 2013 to 52.1% in 2019 (p< 0.001). Averaged across 2013-2019, IDSA membership was 67.5% White, 20.6% Asian, 7.7% Latinx, 3.9% Black, and 0.4% Other. IDWeek Speakers during that timeframe were 77.7% White, 13.9% Asian, 4.7% Latinx, 2.7% Black, and 1.0% Other; a larger proportion of slots were filled by Asian speakers >2016 (16.3%) vs ≤ 2016 (12.8%) (p=0.005). The proportion of pharmacist speakers increased over time; 5.1% of speakers in 2019 reflected IDSA pharmacist membership (5.4%). The proportion of individuals invited to speak more than once differed by age (19% in < 40yo, 28% 40-49yo, 32% 50-59yo, and 22% >60yo; p< 0.001), and professional degree (28% physicians, 18% pharmacists, 9% other doctorates, and 7% non-doctorate speakers; p< 0.001). Figure 1: Trends in Gender Distribution of IDWeek Speakers and IDSA Members, 2013-2019 Figure 2: Trends in Race/Ethnicity Distribution of IDWeek Speakers and IDSA Members, 2013-2019 Conclusion Intentional consideration of gender equity by the Program Committee significantly improved equitable gender representation of invited speakers at IDWeek. This effort has not resulted in increased diversity of invited speakers from groups underrepresented in IDSA membership. To ensure that invited speakers represent the membership of IDSA/IDWeek partner organizations and more importantly, the communities we serve, we call for continued application of the principles of Inclusion, Diversity, Access, and Equity at IDWeek. Disclosures All Authors: No reported disclosures

scholarly journals Significant increase in quantity and quality of knee arthroplasty related research in KSSTA over the past 15 years

2021 ◽  
Author(s):  
Stephanie Kirschbaum ◽  
Thilo Kakzhad ◽  
Fabian Granrath ◽  
Andrzej Jasina ◽  
Jakub Oronowicz ◽  
...  
Keyword(s):  
Knee Arthroplasty ◽  
Special Topic ◽  
Computer Assisted ◽  
Time Interval ◽  
Search Term ◽  
Level Of Evidence ◽  
The Past ◽  
Patient Reported ◽  
Over Time ◽  
Number Of Authors

Abstract Purpose This study aimed to evaluate both publication and authorship characteristics in Knee Surgery, Sports Traumatology, Arthroscopy journal (KSSTA) regarding knee arthroplasty over the past 15 years. Methods PubMed was searched for articles published in KSSTA between January 1, 2006, and December 31st, 2020, utilising the search term ‘knee arthroplasty’. 1288 articles met the inclusion criteria. The articles were evaluated using the following criteria: type of article, type of study, main topic and special topic, use of patient-reported outcome scores, number of references and citations, level of evidence (LOE), number of authors, gender of the first author and continent of origin. Three time intervals were compared: 2006–2010, 2011–2015 and 2016–2020. Results Between 2016 and 2020, publications peaked at 670 articles (52%) compared with 465 (36%) published between 2011 and 2016 and 153 articles (12%) between 2006 and 2010. While percentage of reviews (2006–2010: 0% vs. 2011–2015: 5% vs. 2016–2020: 5%) and meta-analyses (1% vs. 6% vs. 5%) increased, fewer case reports were published (13% vs. 3% vs. 1%) (p < 0.001). Interest in navigation and computer-assisted surgery decreased, whereas interest in perioperative management, robotic and individualized surgery increased over time (p < 0.001). There was an increasing number of references [26 (2–73) vs. 30 (2–158) vs. 31 (1–143), p < 0.001] while number of citations decreased [30 (0–188) vs. 22 (0–264) vs. 6 (0–106), p < 0.001]. LOE showed no significant changes (p = 0.439). The number of authors increased between each time interval (p < 0.001), while the percentage of female authors was comparable between first and last interval (p = 0.252). Europe published significantly fewer articles over time (56% vs. 47% vs. 52%), whereas the number of articles from Asia increased (35% vs. 45% vs. 37%, p = 0.005). Conclusion Increasing interest in the field of knee arthroplasty-related surgery arose within the last 15 years in KSSTA. The investigated topics showed a significant trend towards the latest techniques at each time interval. With rising number of authors, the part of female first authors also increased—but not significantly. Furthermore, publishing characteristics showed an increasing number of publications from Asia and a slightly decreasing number in Europe. Level of evidence IV.

scholarly journals Assessment of Poverty by Municipalities in the Context of Population Ageing—The Case of Małopolskie Voivodeship

2021 ◽  
Vol 13 (5) ◽  
pp. 2563
Author(s):  
Małgorzata Ćwiek ◽  
Katarzyna Maj-Waśniowska ◽  
Katarzyna Stabryła-Chudzio
Keyword(s):  
The Elderly ◽  
Research Problem ◽  
Point Of View ◽  
Computer Assisted ◽  
Chi Square ◽  
Social Challenge ◽  
Depth Analysis ◽  
Qualitative Variables ◽  
Chi Square Test ◽  
Research Gap

This article undertakes the research problem of the assessment of the significance of poverty as a social challenge for local self-government units, and the differences in the assessment of the incidence of this phenomenon depending on the type of municipality. The authors also analyse the relationships between the ageing of the population and the assessment of the extent of poverty by municipalities. It must be pointed out that the undertaken problem has not been a subject of in-depth analysis thus far. Hence, this article fills the identified research gap in this field. The empirical part is based on the results of our own research, conducted using the Computer-Assisted Web Interview (CAWI) method on a sample of 144 municipalities of the Małopolskie Voivodship (Poland). In order to verify whether there is a relationship between the researched qualitative variables, the chi-square test of independence was used. In order to determine the relationships occurring between the categories of variables characterising the scale of the incidence of poverty and the remaining variables, a correspondence analysis was conducted. The research enabled us to find the issue of poverty to be one of the most important social problems from the point of view of municipalities. It is also worth noting that the degree of ageing in the population has an impact on the assessment of poverty among the elderly.

scholarly journals Detecting bursty terms in computer science research

2019 ◽  
Vol 122 (1) ◽  
pp. 681-699 ◽  
Author(s):  
E. Tattershall ◽  
G. Nenadic ◽  
R. D. Stevens
Keyword(s):  
Computer Science ◽  
Historical Data ◽  
Science Research ◽  
Detection Algorithm ◽  
Trend Detection ◽  
Free Text ◽  
Research Topics ◽  
Computer Science Research ◽  
Insight Into ◽  
Over Time

AbstractResearch topics rise and fall in popularity over time, some more swiftly than others. The fastest rising topics are typically called bursts; for example “deep learning”, “internet of things” and “big data”. Being able to automatically detect and track bursty terms in the literature could give insight into how scientific thought evolves over time. In this paper, we take a trend detection algorithm from stock market analysis and apply it to over 30 years of computer science research abstracts, treating the prevalence of each term in the dataset like the price of a stock. Unlike previous work in this domain, we use the free text of abstracts and titles, resulting in a finer-grained analysis. We report a list of bursty terms, and then use historical data to build a classifier to predict whether they will rise or fall in popularity in the future, obtaining accuracy in the region of 80%. The proposed methodology can be applied to any time-ordered collection of text to yield past and present bursty terms and predict their probable fate.

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