Categorical Principal Component Analysis Research Articles

Social capital, labour market status and wages: some evidence from Spain

PurposeThis article analyses the social capital's influence on the Spanish labour market. In particular, this study examines to what extent the social capital increases the likelihood of being employed, taking into account different labour market status, and diverse dimensions of the social capital. Focusing on wage earners, it is also analysed whether network structures in Spain influence on the wage earnings.Design/methodology/approachThe methodology applied to analyse the labour market status is a multinomial logit model. For the analysis of wages, it is specified a wage model with sample selection bias. In both cases, social capital indicators are included as regressors.FindingsThe results show that social participation exerts a positive influence on the probability of being self-employed, and lowers the likelihood of being unemployed. Moreover, it is verified that the interaction with family members or close friends influence positively on wages.Research limitations/implicationsFurther research should emphasise how employers assess the workers' competences associated with the social capital.Practical implicationsThe findings provide knowledge to policymakers useful to increase the role of social participation in the labour market.Social implicationsThe importance of social network as an instrument for the job search must be enhanced.Originality/valueThis article overcomes some drawbacks associated with the analysis of social capital from an aggregate perspective. Furthermore, social capital indicators are obtained using the Categorical Principal Components Analysis (CATPCA), which is unprecedented in the economic literature.

The ‘protective function’ of social enterprises: understanding the renewal of multiple sets of motivations

We study the problem of the renewal of workers’ intrinsic and pro-social motivations in democratic work settings, as found in Italian social enterprises, organizations in the social economy that deliver social and welfare services. Building upon institutional, system, and management theory we hypothesize that social enterprises value and protect pro-social motivations as crucial resources. Specifically, hypothesis-testing examines the effect of the work relational context and of job satisfaction on the renewal of self-esteem intrinsic motivations and pro-social motivations. Our sample includes 320 social enterprises matched with 4134 paid workers. The results of categorical principal components analysis, OLS regression and structural equation modelling show that worker wellbeing (substantive and formal satisfaction) mediates the relation between the relational context (collaborative teamwork and fairness, both procedural and interactional) and the renewal of self-esteem and pro-social motivations.

Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors

Introduction: Exploratory data reduction techniques, such as Factor Analysis (FA) and Principal Component Analysis (PCA), are widely used in questionnaire validation with ordinal data, such as Likert Scale data, even though both techniques are indicated to metric measures. In this context, this study presents an e-survey, conducted to obtain self-reported behaviors between Brazilian drivers (N = 1,354, 55.2% of males) and Portuguese drivers (N = 348, 46.6% of males) based on 20 items from the Driver Behavior Questionnaire (DBQ) on a five-point Likert Scale. This paper aimed to examine DBQ validation using FA and PCA compared to Categorical Principal Component Analysis (CATPCA) which is more indicative to use with Likert Scale data. Results: The results from all techniques confirmed the most replicated factor structure of DBQ, distinguishing behaviors as errors, ordinary violations, and aggressive violation. However, after Varimax rotation, CATPCA explained 11% more variance compared to FA and 2% more than PCA. We identified cross-loadings among the component of the techniques. An item changed its dimension in the CATPCA results but did not change the structural interpretability. Individual scores from dimension 1 of CATPCA were significantly different from FA and PCA. Individual scores from factor 1 of CATPCA were significantly different from FA and PCA. Practical applications: The CATPCA seems to be more advantageous in order to represent the original data and considering data constrains. In addition to finding an interpretable factorial structure, the representation of the original data is regarded as relevant since the factor scores could be used for crash prediction in future analyses.

Integrating Casein Complex SNPs Additive, Dominance and Epistatic Effects on Genetic Parameters and Breeding Values Estimation for Murciano-Granadina Goat Milk Yield and Components.

Assessing dominance and additive effects of casein complex single-nucleotide polymorphisms (SNPs) (αS1, αS2, β, and κ casein), and their epistatic relationships may maximize our knowledge on the genetic regulation of profitable traits. Contextually, new genomic selection perspectives may translate this higher efficiency into higher accuracies for milk yield and components’ genetic parameters and breeding values. A total of 2594 lactation records were collected from 159 Murciano-Granadina goats (2005–2018), genotyped for 48 casein loci-located SNPs. Bonferroni-corrected nonparametric tests, categorical principal component analysis (CATPCA), and nonlinear canonical correlations were performed to quantify additive, dominance, and interSNP epistatic effects and evaluate the outcomes of their inclusion in quantitative and qualitative milk production traits’ genetic models (yield, protein, fat, solids, and lactose contents and somatic cells count). Milk yield, lactose, and somatic cell count heritabilities increased considerably when the model including genetic effects was considered (0.46, 0.30, 0.43, respectively). Components standard prediction errors decreased, and accuracies and reliabilities increased when genetic effects were considered. Conclusively, including genetic effects and relationships among these heritable biomarkers may improve model efficiency, genetic parameters, and breeding values for milk yield and composition, optimizing selection practices profitability for components whose technological application may be especially relevant for the cheese-making dairy sector.

Influence of parental habits and drug use in adolescents' physical activity: a case study of an Italian high school.

Physical activity is considered a fundamental element for health promotion, also during adolescence, contributing to the psycho-physical well-being of the individuals. Here we evaluate the relationship between risk behavior and physical activity habits of adolescents and their parents. A total of 220 subjects (115 females, 105 males), aged between 14 and 18, were asked about their own and parents' physical activity habits and tobacco, alcohol, and light drug consumption. The chi-square test was used to detect differences between males and females. Categorical principal component analysis and Spearman's correlation were used to find associations between the variables analyzed. Our results show a prevalence of an active lifestyle of 52.3%, with no significant gender differences. The consumption of tobacco, alcohol, and light drugs was 28.2, 63.2, and 16.8%, respectively, with a higher prevalence in males and correlated with age. We found a positive correlation between physical activity practice and parents' physical activity, especially between mothers and daughters. Finally, male physical activity practice is inversely related to risk behaviors. Our findings underline the importance of family and parental involvement in promoting health behaviors, such as physical and sports activities, that can represent a powerful educational tool for the prevention of social dangers.

Developing a typology for residents and local development: a case study in Northern Greece

The understanding of residents' profile and attitude toward local development is critically important since it can guide the efforts to promote local development especially in rural areas which suffer economic disadvantage. Using categorical principal components analysis, categorical regression and cluster analysis, this paper identifies resident types in the Regional Unit of Drama in Greece based on the variables constituting local development and the factors contributing to local development. According to our analysis, the desire for development and development potential were the most important dimensions in local development and these dimensions were affected by participants' demographic characteristics. Moreover, there were three types of residents with the majority belonging to the first type which expressed a positive desire for development and perceived that the region involves a moderate development potential. Moreover, the results can be used to highlight implications for policymakers and local authorities as well as to point to opportunities for future research.

Use of actigraphy to measure real-world physical activities in manual wheelchair users.

IntroductionThe benefits of physical activity for manual wheelchair users are well-known. The purpose of this study was to validate actigraphy to objectively measure physical activity intensity among manual wheelchair users.MethodAn experimental design was used. Adult manual wheelchair users wore a GT3X actigraph on their non-dominant arm while completing eight physical activities of low (reading), moderate (propelling -- flat) and high (propelling -- steep ramp) intensity. Heart rate and rating of perceived exertion were collected at the end of each physical activity. Distribution of data were examined and used to determine the type of repeated measures (parametric vs. non-parametric). A categorical principal component analysis was performed to determine the amount of variability explained by actigraphy, heart rate and rating of perceived exertion. Activity count cut-points were estimated using bootstrapping methods.ResultsTwenty-eight manual wheelchair users completed the study. Actigraphy, heart rate and rating of perceived exertion co-varied as physical activity intensity changed. Activity counts for low-intensity and medium-intensity physical activities were estimated to be 0 to 45 and 45 to 100 activity counts per second, respectively. Activity counts' ranges for high-intensity physical activities were not clear.ConclusionCombining actigraphy and rating of perceived exertion could be an easy and reliable method to measure the intensity of real-world activities. Further research is needed confirm cut-points for physical activity intensity.

Combining Individual and Collective Employee Incentives to Enhance Organizational Performance

A large body of literature provides empirical evidence of a positive relationship between reward practices and performance. However, little has been said about different combinations of individual and group incentives as drivers of organizational competitiveness. This paper examines bundles of nine individual and group PFP practices and their joint effect on selected financial and non-financial indicators of organizational performance (OP). Our empirical research study included 61 middleand large-sized companies in Croatia in order to analyze the aforementioned relationships. The categorical principal component analysis generated two factors of PFP practices that were subsequently used as independent variables in a multiple regression analysis. The first PFP bundle consisted of individual subjectively-based bonus and two shared-ownership practices and was found to positively influence non-financial indicators of OP, i.e. quality of services or products and innovativeness. The second factor consisted of individual performance appraisal and profit-sharing and it positively influenced financial indicators of OP, i.e. productivity and, to a lesser extent, profitability. Implications for theory and practice are also discussed.

Analysis of Social Sustainability Information in a Global Context According to the New Global Reporting Initiative 400 Social Standards

Interest is increasing in what information companies disclose regarding the social aspects of their operations. This research therefore develops an index to analyze the social disclosure of companies from various countries and geographical regions including Latin America, Europe, Africa, Asia, and the United States. Using categorical principal component analysis and partial triadic analysis, we build a numerical value for a specific social individual index by firm. Then, we analyze the extent to which this disclosure follows the Global Reporting Initiative 400 social standards, which became effective on 1 July 2018. In addition to considering geographical aspects, we also analyze social disclosure based on industry, which facilitates firms’ decision-making and policy formation in social disclosure.

Understanding the Function Constitution and Influence Factors on Communication for the WeChat Official Account of Top Tertiary Hospitals in China: Cross-Sectional Study.

BackgroundWidespread adoption and continued developments in mobile health care technologies have led to the improved accessibility and quality of medical services. In China, WeChat, an instant messaging and social networking app released by the company Tencent, has developed a specific type of user account called WeChat official account (WOA), which is now widely adopted by hospitals in China. It enables health care providers to connect with local citizens, allowing them to, among other actions, send regular updates through mass circulation. However, with the diversity in function provided by WOA, little is known about its major constitution as well as the influence factors on the WeChat communication index (WCI). The WCI has been widely used in social media impact ranking with various types of WeChat content to fully reflect the dissemination and coverage of tweets as well as the maturity and impact of WOA.ObjectiveThere are two typical WOAs available to users, namely, WeChat subscription account (WSSA) and WeChat service account (WSVA). The biggest difference between them is the frequency of messages transmitted. This study aimed to explore the function constitution of WSVA adopted by top tertiary hospitals in China and the major contributors of the WCI score.MethodsA total of 681 top tertiary hospitals were selected from the Hospital Quality Monitoring System; the WOA of every top tertiary hospital was retrieved in the WeChat app. We divided core functional items of WSVAs using categorical principal component analysis. To elicit the factors that influenced the use of WSVA, quantile regression was employed to analyze the WCI score.ResultsFrom the 668 WOAs identified, adoption of WSVAs (543/668, 81.3%) was more than that of WSSAs (125/668, 18.7%). Functional items of WSVAs were categorized into four clusters: (1) hospital introduction, (2) medical services, (3) visiting assistants, and (4) others. With regard to the influence factors on the WCI, the impact of the activity index of WSVA and the total visiting number of outpatients and emergencies on WCI were statistically significant and positive in all quantiles. However, the year of certification, the type of hospital, the year of public hospital reform, and the number of beds merely affected the WCI at some quantiles.ConclusionsOur findings are considered helpful to tertiary hospitals in developing in-depth functional items that improve patient experience. The tertiary hospitals should take full advantage of times of posting and provide high-quality tweets to meet the various needs of patients.

Association Between Seasonal Allergic Rhinitis and Air Pollution, Meteorological Factors, and Grass Pollen Counts in Madrid (1996 and 2009).

The aim of this study was to assess the relationship between meteorological and pollution-related variables and the symptoms of patients with seasonal allergic rhinitis due to sensitization to grass pollen during 2 different time periods in Madrid, Spain. Between March 23 and December 31 in 1996 and 2009, we carried out a daily count of grass pollen grains (Burkard spore trap) and recorded the rhinitis symptom scores in 2 groups of patients with a history of seasonal allergic rhinitis (n=25 in 1996 and n=23 in 2009). Descriptive statistics of the same variables during the study periods were recorded. Associations between variables were assessed using the paired-samples Wilcoxon test and categorical principal component analysis (CatPCA, SPSS24 package). The mean symptom score was low in 1996 and moderate in 2009. The 1996 and 2009 CatPCA analysis explained around 66.4% and 70.5% of the variance, respectively. The strongest relationships in 1996 were between symptoms and grass pollen counts (R=0.55) and between temperature and ozone (R=0.63). In 2009, the association between temperature and pollution-related variables was even stronger than in 1996 (ozone [R=0.53] and PM10 [R=0.34], with a positive sign in both cases). The effect of temperature and pollution (mainly ozone, even at lower atmospheric concentrations than in established guidelines for effects on health) may have contributed to the higher seasonal allergic rhinitis symptom score recorded in 2009.

Reclassified cognitive leisure activity and risk of cognitive impairment in Chinese older adults aged ≥80 years: A 16-year prospective cohort study.

There is accumulating evidence that participation in cognitive leisure activities might be related to a reduced risk of cognitive impairment. However, there is no consensus regarding the classification of cognitive leisure activities, and it cannot clearly define each activity and quantitatively evaluate the effect of it. In the present study, we propose a new classification method, and examine the relationship between reclassified cognitive leisure activities and cognitive function. The analysis included 4830 participants of the Chinese Longitudinal Healthy Longevity Survey, who were aged >80 years and free of cognitive impairment at 1998. They were followed up six times. Six cognitive leisure activities were mainly grouped into intrapersonal and interpersonal cognitive leisure activity by categorical principal component analysis. Cox proportional hazards analysis was used to evaluate the relationship between reclassified cognitive leisure activities and the risk of cognitive impairment. After a median follow-up period of 16 years, 1763 participants suffered from cognitive impairment (Mini-Mental State Examination score <24). Reading newspapers or books, taking part in some social activities and sometimes playing cards or mahjong were associated with a decreased risk of cognitive impairment (P < 0.05 for all). In multivariable adjusted models, compared with those with lower intensities, the hazard ratios (95% confident intervals) of cognitive impairment were 0.86 (0.74-0.99) and 0.71 (0.60-0.83) for participants with high intensities of intrapersonal and interpersonal cognitive leisure activity, respectively. A high frequency of participation in intrapersonal and interpersonal cognitive leisure activities showed a lower risk of cognitive impairment among the oldest-old in China. Geriatr Gerontol Int 2019; 19: 1041-1047.

Patient Health Engagement Scale: Validity and reliability for Turkish patients with chronic diseases

Purpose: Engaging patients in their health care management journey has emerged as the requirement of the patient-centered care. Considering as an evidence-based measure, The Patient Health Engagement Scale was developed to evaluate patients’ emotional, behavioral, and cognitive competences during their care. This study aimed to assess the psychometric properties of PHE-s in Turkish patients with chronic diseases.Materials and Methods: In this methodological study, one hundred and fourteen inpatients with chronic diseases were recruited in June 2018 in a university hospital. Content validity and reliability analysis were conducted. The original scale was translated into Turkish and back into English. Results: The Ordinal alpha was found 0.80, which refers to a good internal consistency. The Rasch analysis demonstrated that the scale is unidimensional. The inter-item polychoric correlation coefficient was equal to 0.61 and every factor loadings in the Categorical Principal Component Analysis were higher than 0.74. Conclusion: Taking into consideration, The Turkish version of the Patient Health Engagement Scale has good psychometric properties for evaluating the patient engagement phases and can be used by the Turkish-speaking community.

Biosecurity practices in Belgian veal calf farming: Level of implementation, attitudes, strengths, weaknesses and constraints

The shift from cure toward prevention in veterinary medicine involves the implementation of biosecurity. In cattle farming, the application of biosecurity measures has been described to a limited degree, yet no data on biosecurity on veal farms is available. A high degree of commingling of veal calves from multiple farms causes frequent disease outbreaks, and thereby high antimicrobial usage and increased risk of antimicrobial resistance. Therefore, this study aimed to describe the current implementation of biosecurity on veal farms in Belgium. To this extent, a list of the most important calf diseases (n = 34) was created, and risk factors and related biosecurity measures for these diseases were determined and included in a questionnaire. Herd visits and face-to-face interviews were conducted on 20 randomly selected veal farms, comprising 8.3% of the target population. A categorical principal component and clustering analysis were performed to determine the influence of the veal companies on the farms’ biosecurity level. Awareness of biosecurity was very low among the farmers. All farms used an “all-in, all-out” production system with calves originating from multiple farms without quarantine. On average, farms were filled in 11.4 days (range 2–52). The degree of commingling for these farms was 1.24, meaning that, on average, 124 calves originated from 100 farms. Veterinarians wore farm-specific boots on eight farms (40%) and farm-specific clothes on six farms (30%), while technical advisors wore farm-specific boots on six farms (30%) and farm-specific clothes on four farms (20%). Disinfection footbaths were only used in five farms (25%) despite being present in all farms in the sample. Concerning internal biosecurity, none of the farmers isolated sick animals; only one farmer (5%) had a physically separated hospital pen, and only 11 farmers (55%) both cleaned and disinfected the stables after each production cycle. In most farms, animals were of comparable age. Healthy calves generally remained in the same compartment during the entire production cycle, limiting the risks associated with the movement of animals. No influence of the integrations on the biosecurity level could be determined. It can be concluded that a few biosecurity measures, such as “‘all-in, all-out” and compartmentation, are implemented relatively well, while other measures, such as good cleaning and disinfection and proper entrance measures for visitors and personnel can easily be improved. The improvement of measures regarding the introduction of animals of different origins will require more fundamental changes in the veal industry.

Assessing Family-Like Dynamics in the Workplace as Possible Precursors of Workplace Bullying: Psychometric Analysis of a Modified Instrument.

Family-like dynamics in workplaces may serve as antecedents to workplace bullying. This study addressed the psychometric properties of an instrument modified to assess family-like dynamics in the workplace. The investigators used categorical principal components analysis (CATPCA) to investigate the psychometric properties of an instrument modified to measure coworker perceptions of family-like dynamics in the workplace. Primarily White (95%) study participants (N = 273) completed a brief, demographic form and the modified Family Relationships Index (FRI) of the Family Assessment Scale (FES) (Moos & Moos, 1981, 1986). Demographic data were analyzed using descriptive statistics and perceptions of family-like dynamics in the workplace were analyzed using CATPCA. The modified FRI served as a reasonable model for capturing coworker perceptions of family-like dynamics in the workplace. Further research is indicated to determine the overall utility of the modified FRI and to ascertain whether family-like dynamics actually are precursors to workplace bullying victimization.

Exploring brand management strategies in Chinese manufacturing industry

The purpose of this paper was to empirically explore how Chinese private manufacturers make strategic branding decisions. We develop a conceptual framework to investigate the branding decisions undertaken by Chinese manufacturers. Interview data were subjected to qualitative thematic analysis and quantitative categorical principal component analysis. Data reveal a branding schema that illustrate four types of B2B brander: achievement competencies branders, awareness competencies branders, novice competencies branders, and no-competencies branders. The schema describes the trajectory of the progressive evolution of B2B branders. This paper contributes to the long-called-for formation of a theoretical framework of B2B branding from the amorphous literature and provides a direction for manufacturers to undertake branding practice. The exploratory nature lays foundations for further research to investigate B2B branding in other contexts.

Positive attitudes, positive outcomes: The relationship between farmer attitudes, management behaviour and sheep welfare.

This study examined the relationships between the attitudes and the management behaviour of the farmer and the on-farm welfare of their ewes. To our knowledge, this is the first study investigating these relationships in extensive sheep farming systems. Thirty-two sheep farmers and 6200 ewes were sampled across Victoria, Australia. Questionnaire interviews and on-farm animal welfare assessments were conducted. The ewes were assessed at two-time points, mid-pregnancy and weaning. To examine relationships between farmer and ewe variables, categorical principal component analyses, correlations and logistic regressions were used. The main findings of this study indicate relationships between farmer attitudes and management behaviour, consistent with findings from other more intensive livestock industries. Farmers were more likely to check the body condition of their ewes (Odds ratio = 2.37, P = 0.03), perform ultrasound pregnancy diagnosis (Odds ratio = 1.16, P = 0.02) and test for egg count before deworming sheep (Odds ratio = 2.88, P = 0.01) if they perceived these activities were important/valuable. In addition, farmers that performed these activities had a more active management style, and ewes in better welfare: fewer lame ewes at mid-pregnancy (r = -0.38 P = 0.04), and fewer ewes in need of further care at mid-pregnancy and weaning respectively (r = -0.47, P = 0.01; r = -0.50, P = 0.01). When combining the qualitative and quantitative analyses, behavioural attitudes (attitudes towards specific management behaviours) and perceived behavioural control (perceived barriers to performing the behaviour) emerged as the two main drivers underpinning farmer management behaviour. The results of this study indicate that the way farmers manage their ewes influences welfare outcomes, and management decisions are influenced by attitudes towards management practices. These findings demonstrate the opportunity to create change in farmer management behaviour and improve sheep welfare via targeted education programs.

Evaluation of methods for adjusting population stratification in genome-wide association studies: Standard versus categorical principal component analysis.

Unaccounted population stratification can lead to false-positive findings and can mask the true association signals in identification of disease-related genetic variants. The computational simplicity of principal component analysis (PCA) makes it a widely used method for population stratification adjustment. However, given that genotype data are generally represented by numerical values 0, 1, and 2, corresponding to the number of minor alleles, it is more reasonable to consider genotype data as categorical data. Because PCA is inherently only suitable for continuous variables, it is not appropriate to directly apply PCA on genotype data. Second, although common variants have been extensively studied, little is known about the stratification of rare variants and its impact on association tests. Over the last decade, there has been a shift in the genome-wide association studies toward studying low-frequency (minor allele frequency [MAF] between 0.01 and 0.05) and rare (MAF less than 0.01) variants, which are now widely reputed as complex trait determinants. The fact that rare variants are not stratified in the same way as common variants necessitates the development of statistical methods that can capture stratification patterns for low-frequency and rare variants. To address these limitations, we investigate performances of generalized PCA and similarity-matrix-based PCA methods to detect underlying structures for rare and common variants. We demonstrate, through simulated and real datasets, that a special case of generalized PCA (i.e., logistic PCA) is able to adjust for population stratification in rare variants much more effectively than standard PCA while their performances are comparable for common variants.

Farmers\u2019 choice of genotypes and trait preferences in tropically adapted chickens in five agro-ecological zones in Nigeria

This study aimed at determining chicken genotypes of choice and traits preference in chicken by smallholder farmers in Nigeria. Data were obtained from a total of 2063 farmers using structured questionnaires in five agro-ecological zones in Nigeria. Chi square (χ2) statistics was used to explore relationships between categorical variables. The mean ranks of the six genotypes and twelve traits of preference were compared using the non-parametric Kruskal–Wallis H (with Mann–Whitney U test for post hoc separation of mean ranks), Friedman, and Wilcoxon signed-rank (with Bonferroni’s adjustments) tests. Categorical principal component analysis (CATPCA) was used to assign farmers into groups. Gender distribution of farmers was found to be statistically significant (χ2 = 16.599; P ≤ 0.002) across the zones. With the exception of Shika Brown, preferences for chicken genotypes were significantly (P ≤ 0.01) influenced by agro-ecological zone. However, gender differentiated response was only significant (P ≤ 0.01) in Sasso chicken with more preference by male farmers. Overall, FUNAAB Alpha, Sasso, and Noiler chicken were ranked 1st, followed by Kuroiler (4th), Shika Brown (5th), and Fulani birds (6th), respectively. Within genotypes, within and across zones and gender, preferences for traits varied significantly (P ≤ 0.005 and P ≤ 0.01). Traits of preference for selection of chicken breeding stock tended towards body size, egg number, egg size, and meat taste. Spearman’s rank order correlation coefficients of traits of preference were significant (P ≤ 0.01) and ranged from 0.22 to 0.90. The two PCs extracted, which explained 65.3% of the variability in the dataset, were able to assign the farmers into two groups based on preference for body size of cock and hen and the other ten traits combined. The present findings may guide the choice of appropriate chicken genotypes while the traits of economic importance may be incorporated into future genetic improvement and conservation programs in Nigeria.

Optimizing Clock Drawing Scoring Criteria: Development of the West Haven-Yale Clock Drawing Test.

The Clock Drawing Test (CDT) is a widely used measure, which has been included as a recommended cognitive screen for driving evaluations. This study aimed to develop an optimized scoring method-the West Haven-Yale CDT (WHY-CDT)-based on the scoring methods of Freund and Royall's CLOX, the latter of which is significantly associated with executive control functions. Retrospective cohort study. Greater New Haven, Connecticut, area. A total of 237 adults, aged 70 years and older, who had a current driver's license and drove at least once a month. Clock drawings were independently scored using both scoring systems, as well as a qualitative-based 5-point gestalt score. Interrater reliability was calculated using Light's κ for dichotomous variables and intraclass correlations for continuous variables. A categorical principal component analysis was conducted to determine which items from the Freund and Royall scoring systems should be retained in the modified system, with the Kuder-Richardson test used to assess internal consistency (reliability). The majority of the quantitative scoring items had moderate to almost perfect interrater reliability, with excellent interrater reliability for the qualitative gestalt score. The final scoring method retained seven items from the Freund and Royall versions, of which over 85% were from the latter. Internal consistency was fair to acceptable for the WHY-CDT's two dichotomously scored subscales, but poor for both the Freund and Royall scoring methods. The WHY-CDT is a simple scoring method that combines elements of the Freund and Royall methods, as well as an overall gestalt score, and has strong interrater reliability. Future directions for use of this modified system are discussed. J Am Geriatr Soc 67:2129-2133, 2019.