scholarly journals Assessing the inter-coder reliability of the Body Type Dictionary (BTD)

ICAME Journal ◽  
2014 ◽  
Vol 38 (1) ◽  
pp. 5-33 ◽  
Author(s):  
Laura A. Cariola

Abstract Computer-assisted content analysis has many advantages compared to a manual scoring system, provided that computerised dictionaries represent valid and reliable measures. This study aimed to assess the inter-coder reliability, alternate- form reliability and scoring consistency of the Body Type Dictionary (BTD) (Wilson 2006) based on Fisher and Cleveland’s (1956, 1958) manual body boundary scoring scheme. The results indicated an acceptable inter-coder agreement with barrier and penetration imagery in the sub-sample (N = 53) of manually coded Rorschach responses. Additionally manually coded scores showed an acceptable correlation with the computerised frequency counts, and thus indicating an alternate-form reliability. In the full data set (N = 526), barrier imagery in the Rorschach responses only correlated with the picture response test, showing low scoring consistency, which might disconfirm the notion of body boundary awareness representing a stable personality trait but instead it might be dependent on the level of cognitive dedifferentiation.

Author(s):  
Laura A. Cariola

This study assesses the alternate-form reliability of the Body Type Dictionary (BTD) for measuring body boundary imagery and primordial thought language in interview-based and web-based Rorschach responses. The intraclass correlation coefficient demonstrated fair to good agreement for barrier imagery, .72, and penetration imagery, .55, which indicates that the web-based administration of the Rorschach inkblot test represents an acceptable alternative to the traditional Rorschach interview assessment for measuring body boundary imagery. Primordial thought language had a fair level of agreement, .43, whereas conceptual thought language had poor agreement, .36. The results are discussed by relating empirical research outlining the mode-specific implications of psychometric test administration to the Rorschach inkblot test and its implications for body boundary awareness and regressive cognitive functioning, as well as by outlining the methodological and clinical limitations of web-based Rorschach application that could be addressed in future research.


2018 ◽  
Vol 9 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Molly E Waring ◽  
Katie Baker ◽  
Anthony Peluso ◽  
Christine N May ◽  
Sherry L Pagoto

Abstract Twitter may be useful for learning about indoor tanning behavior and attitudes. The objective of this study was to analyze the content of tweets about indoor tanning to determine the extent to which tweets are posted by people who tan, and to characterize the topics of tweets. We extracted 4,691 unique tweets from Twitter using the terms “tanning bed” or “tanning salon” over 7 days in March 2016. We content analyzed a random selection of 1,000 tweets, double-coding 20% of tweets (κ = 0.74, 81% agreement). Most tweets (71%) were by tanners (n = 699 individuals) and included tweets expressing positive sentiment about tanning (57%), and reports of a negative tanning experience (17%), burning (15%), or sleeping in a tanning bed (9%). Four percent of tweets were by tanning salon employees. Tweets posted by people unlikely to be tanners (15%) included tweets mocking tanners (71%) and health warnings (29%). The term “tanning bed” had higher precision for identifying individuals who engage in indoor tanning than “tanning salon”; 77% versus 45% of tweets captured by these search terms were by individuals who engaged in indoor tanning, respectively. Extrapolating to the full data set of 4,691 tweets, findings suggest that an average of 468 individuals who engage in indoor tanning can be identified by their tweets per day. The majority of tweets were from tanners and included reports of especially risky habits (e.g., burning, falling asleep). Twitter provides opportunity to identify indoor tanners and examine conversations about indoor tanning.


2006 ◽  
Vol 83 (1) ◽  
pp. 186-200 ◽  
Author(s):  
Mike Conway

With the increased sophistication and speed of computers, fewer text content analysis projects utilize traditional human coding. This methodological case study was designed to compare results of human versus computer-assisted coding using the same data set. The two processes yielded significantly different results in a content analysis of newspaper coverage of a political campaign. In computer-assisted coding, several subjective steps must be taken to adapt the content to the program. Those decisions can be arbitrary and fall outside the concept of traditional intercoder reliability.


2014 ◽  
Vol 45 (6) ◽  
pp. 495-497 ◽  
Author(s):  
Nicolas Guéguen

Nelson and Morrison (2005 , study 3) reported that men who feel hungry preferred heavier women. The present study replicates these results by using real photographs of women and examines the mediation effect of hunger scores. Men were solicited while entering or leaving a restaurant and asked to report their hunger on a 10-point scale. Afterwards, they were presented with three photographs of a woman in a bikini: One with a slim body type, one with a slender body type, and one with a slightly chubby body. The participants were asked to indicate their preference. Results showed that the participants entering the restaurant preferred the chubby body type more while satiated men preferred the thinner or slender body types. It was also found that the relation between experimental conditions and the choices of the body type was mediated by men’s hunger scores.


Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 489
Author(s):  
Emilie Croisier ◽  
Jaimee Hughes ◽  
Stephanie Duncombe ◽  
Sara Grafenauer

Breakfast cereal improves overall diet quality yet is under constant scrutiny with assertions that the category has not improved over time. This study aimed to comprehensively analyse the category of breakfast cereals, the nutritional values, and health claims across eight distinct sub-categories at four time points (2013, 2015, 2018, and 2020). An audit of products from four major supermarkets in metropolitan Sydney (Aldi, Coles, IGA, and Woolworths) collected ingredient lists, nutrition information, claims and Health Star Rating (HSR) for biscuits and bites; brans; bubbles, puffs, and flakes; granola and clusters; hot cereal flavoured; hot cereal plain; muesli; breakfast biscuits. The median (IQR) were calculated for energy, protein, fat, saturated fat, carbohydrate, sugars, dietary fibre, and sodium for comparisons over time points by nutrient. Data from 2013 was compared with 2020 (by sub-category and then for a sub-section of common products available at each time point). Product numbers between 2013 (n = 283) and 2020 (n = 543) almost doubled, led by granola and clusters. Whole grain cereals ≥ 8 g/serve made up 67% of products (↑114%). While there were positive changes in nutrient composition over time within the full data set, the most notable changes were in the nutrition composition of cereals marketed as the same product in both years (n = 134); with decreases in mean carbohydrate (2%), sugar (10%) and sodium (16%) (p < 0.000), while protein and total fat increased significantly (p = 0.036; p = 0.021). Claims regarding Dietary Fibre and Whole Grain doubled since 2013. Analysis of sub-categories of breakfast cereal assisted in identifying some changes over time, but products common to both timeframes provided a clearer analysis of change within the breakfast category, following introduction of HSR. Whole grain products were lower in the two target nutrients, sodium and sugars, and well-chosen products represent a better choice within this category.


2015 ◽  
Vol 116 (7/8) ◽  
pp. 358-368 ◽  
Author(s):  
Heather Michele Moorefield-Lang

Abstract – The purpose of this paper is to analyze the user agreements of makerspaces in public and academic libraries. User agreements, also known as maker agreements, user forms and liability forms, can be very important documents between library patrons, staff and faculty. User agreements are similar to the earlier creation of acceptable use policies for technology use in libraries. The author of this study will delve into the user agreements created for public and academic libraries across the USA. Design/methodology/approach – The researcher used content analysis to investigate 24 different user agreements written for public and academic library makerspaces. NVivo qualitative data analysis software was integrated into this research to aid in the breakdown of commonalities across terms, themes and purpose within the user agreements. Findings – Although makerspaces are a very exciting topic in the field of library science at this time, the implementation of a maker learning space is still new to many libraries. Creating a user agreement for a makerspace is newer still. Most user agreements in this study were six months to a year old. Some consistencies found across makerspace user agreements include liability waivers, permissions for minors, safety, copyright and technology replacement costs. Originality/value – At this time, most publications on makerspaces are held in the realm of popular publications (blogs, magazines, zines, etc.). The body of peer-reviewed and scholarly research on makerspaces is growing. Makerspace user agreements are new to this growing field of interest, and a content analysis of these documents will pave the way for the writing of future forms.


2004 ◽  
Vol 91 (4) ◽  
pp. 1524-1535 ◽  
Author(s):  
Grégoire Courtine ◽  
Marco Schieppati

We tested the hypothesis that common principles govern the production of the locomotor patterns for both straight-ahead and curved walking. Whole body movement recordings showed that continuous curved walking implies substantial, limb-specific changes in numerous gait descriptors. Principal component analysis (PCA) was used to uncover the spatiotemporal structure of coordination among lower limb segments. PCA revealed that the same kinematic law accounted for the coordination among lower limb segments during both straight-ahead and curved walking, in both the frontal and sagittal planes: turn-related changes in the complex behavior of the inner and outer limbs were captured in limb-specific adaptive tuning of coordination patterns. PCA was also performed on a data set including all elevation angles of limb segments and trunk, thus encompassing 13 degrees of freedom. The results showed that both straight-ahead and curved walking were low dimensional, given that 3 principal components accounted for more than 90% of data variance. Furthermore, the time course of the principal components was unchanged by curved walking, thereby indicating invariant coordination patterns among all body segments during straight-ahead and curved walking. Nevertheless, limb- and turn-dependent tuning of the coordination patterns encoded the adaptations of the limb kinematics to the actual direction of the walking body. Absence of vision had no significant effect on the intersegmental coordination during either straight-ahead or curved walking. Our findings indicate that kinematic laws, probably emerging from the interaction of spinal neural networks and mechanical oscillators, subserve the production of both straight-ahead and curved walking. During locomotion, the descending command tunes basic spinal networks so as to produce the changes in amplitude and phase relationships of the spinal output, sufficient to achieve the body turn.


2015 ◽  
Vol 30 (4/5) ◽  
pp. 373-412 ◽  
Author(s):  
Michail Nerantzidis

Purpose – This paper provides evidence regarding the efficacy of the “comply or explain” approach in Greece and has three objectives: to improve our knowledge of the concept of this accountability mechanism, to elevate auditors’ potential role in the control of corporate governance (CG) statements and to contribute to the discussion about the reform of this principle; a prolonged dialogue that has been started by European Commission in the light of the recent financial crisis. Design/methodology/approach – The approach taken is a content analysis of CG statements and Web sites of a non-probability sample of 144 Greek listed companies on the Athens Stock Exchange for the year 2011. Particularly, 52 variables were evaluated from an audit compliance perspective using a coding scheme. From this procedure, the level of compliance with Hellenic Federation of Enterprises (SEV) code, as well as the content of the explanations provided for non-compliance, were rated. Findings – The results show that although the degree of compliance is low (the average governance rating is 35.27 per cent), the evaluation of explanations of non-compliance is even lower (from the 64.73 per cent of the non-compliance, the 40.95 per cent provides no explanation at all). Research limitations/implications – The research limitations are associated with the content analysis methodology, as well as the reliability of CG statements. Practical implications – This study indicates that companies on the one hand tend to avoid the compliance with these recommendation practices, raising questions regarding the effectiveness of the SEV code; while on the other, they are not in line with the spirit of the CG code, as they do not provide adequate explanations. These results assist practitioners and/or policy-makers in perceiving the efficacy of the “comply or explain” approach. Originality/value – While there is a great body of research that has looked into the compliance with best practices, this study is different because it is the first one that rates not only the degree of the compliance with the code’s practices but also the content of the explanations provided for non-compliance. This is particularly interesting because it adds to the body of research by providing a new approach in measuring the quality of the “comply or explain” principle in-depth.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.


Sign in / Sign up

Export Citation Format

Share Document