Analysis of the response structure to a set of questions with large number of scale points: a new combined metric and categorical approach

In the field of social sciences, certain tasks, such as the identification of typologies and the characterization of groups of individuals according to a set of questions, tend to pose a challenge for researchers. Further complications arise if the chosen rating scale is from 0 to 10, since the responses can be treated either as metric or categorical variables. This paper shows that neither treatment is able on its own to capture all the inherent properties of this type of data, and goes on to propose a bicriteria clustering approach, which captures both perspectives and enables the simultaneous analysis of mixed data using multiple tables.     

Evaluation of social network measurement instruments

This paper evaluates the reliability and validity of network measurement instruments for measuring social support. The authors present and discuss the results from eight experiments which were designed to analyze the quality of four measurement scales: (1) binary, (2) categorical, (3) categorical with labels, and (4) line production, as well as two measurement techniques for listing alters (free recall and recognition). Reliability and validity were estimated by the true score multitrait–multimethod (MTMM) approach. Meta-analysis of factors affecting the reliability and the validity of network measurement was done by multiple classification analysis (MCA). The results show that the binary scale and the first presentation of measurement instruments are the least reliable. Surprisingly, the two data collection techniques (free recall and recognition) yield equally reliable data.     

Some correlates of women's childhood sexual experiences: A retrospective study

Relatively few empirical studies have addressed long‐range effects of childhood sexual experiences. This study examined the relationships of various childhood sexual experiences to adult functioning in five areas: (a) family relations, (b) depression, (c) marital satisfaction, (d) sexual satisfaction, and (e) self‐esteem. A retrospective survey was conducted with a sample of 501 predominantly middle‐class women. No clinical or offender populations were used. Five standardized scales were used as dependent variables. On none of the five variables were the scores of women with childhood sexual experiences significantly different from those of women with no childhood sexual experiences. However, the interactions of negative experiences, such as the use of force and abusive behavior, with the type of partner, such as a parent or other relative, were significantly associated with adult functioning. Some of the findings challenge commonly held beliefs and have far‐reaching implications for the helping professions and others who study human sexuality.     

The role of client satisfaction in evaluating university counseling services

Though ubiquitously used for evaluating university counseling services, client satisfaction assessment has been hampered by inadequate instrumentation. Systematic use of a short form of the Client Satisfaction Questionnaire (CSQ) in one such center over the past 5 years is described, together with strategies to ensure maximal accuracy and utilization of results. Several method factors were investigated. Optional respondent identification was not found to reduce response rate or increase reported satisfaction compared to anonymity, while a substudy obtaining very high response suggested bias from nonresponse to the routine survey (response rate = 40%) was not great. The CSQ was found to have excellent psychometric properties and many advantages for use in student service settings. Relationships between satisfaction and a number of other variables such as demographics, precounseling expectancies, problem type and severity, counselor differences, and duration of counseling are reported. Ways such findings were incorporated in service planning are briefly discussed.     

Psychometric properties of the “parent-child relationship inventory” (PCRI) in a portuguese forensic sample

In Portugal, there is a gap regarding psychological tests validated for forensic contexts, particularly those related to child custody issues. The Parent–Child Relationship Inventory (PCRI) is one of the most used instruments in child custody contexts. This study aimed to analyze the psychometric properties of PCRI in a Portuguese forensic sample. PCRI factorial structure and psychometric properties were analyzed in a sample of 144 parents involved in child custody assessments. The questionnaire showed good internal consistency, except for the parental support, autonomy, and role orientation scales. It also showed good discriminant capacity. The confirmatory factor analysis did not replicate the 7-factor model proposed by Gerard. The results were discussed based on the use of PCRI in the context of child custody assessment.     

MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS

We propose using latent class analysis as an alternative to log-linear analysis for the multiple imputation of incomplete categorical data. Similar to log-linear models, latent class models can be used to describe complex association structures between the variables used in the imputation model. However, unlike log-linear models, latent class models can be used to build large imputation models containing more than a few categorical variables. To obtain imputations reflecting uncertainty about the unknown model parameters, we use a nonparametric bootstrap procedure as an alternative to the more common full Bayesian approach. The proposed multiple imputation method, which is implemented in Latent GOLD software for latent class analysis, is illustrated with two examples. In a simulated data example, we compare the new method to well-established methods such as maximum likelihood estimation with incomplete data and multiple imputation using a saturated log-linear model. This example shows that the proposed method yields unbiased parameter estimates and standard errors. The second example concerns an application using a typical social sciences data set. It contains 79 variables that are all included in the imputation model. The proposed method is especially useful for such large data sets because standard methods for dealing with missing data in categorical variables break down when the number of variables is so large.     

Dimensions of Internet use: amount,variety, and types

We examine the dimensions of Internet use based on a representative sample of the population of the UK, making three important contributions. First, we clarify theoretical dimensions of Internet use that have been conflated in prior work. We argue that the property space of Internet use has three main dimensions: amount of use, variety of different uses, and types of use. Second, the Oxford Internet Survey 2011 data set contains a comprehensive set of 48 activities ranging from email to online banking to gambling. Using the principal components analysis, we identify 10 distinctive types of Internet activities. This is the first typology of Internet uses to be based on such a comprehensive set of activities. We use regression analyses to validate the three dimensions and to identify the characteristics of the users of each type. Each type has a distinctive and different kind of user. The Internet is an extremely diverse medium. We cannot discuss ‘Internet use’ as a general phenomenon; instead, researchers must specify what kind of use they examine.     

Risk of gambling disorder based on participation level for the Japanese gambling games of pachinko and pachislot: a preliminary study

It has been reported that Japan may have many disordered pachinko/pachislot players, and taking some countermeasures is required. This study proposes high-risk limits, an index developed by employing a calculating method of low-risk limits to identify disordered players and to contribute to the development of countermeasures. High-risk limits can be established by gambling disorder scale items and participation levels measured in a population survey. The study preliminarily examined how different high-risk limits could be established by using three commonly used scales: SOGS, PGSI and DSM-5. The sample comprised 522 registered panel members for a web survey company, who lived in the Tokyo metropolitan area and played pachinko/pachislot in the last year. They answered items on three gambling disorder scales and four types of participation, such as average monthly loss. Receiver operating characteristic analysis indicated that the three scales had same optimal limits for high-risk participation: average monthly loss of 20,000–50,000 JPY and the average monthly loss/yearly household income of 0.003-0.005. Logistic regression analysis confirmed that high-risk participation predicted the disorder irrespective of demographics. The results of this study suggested that high-risk limits can be established using the disorder scales commonly used in prevalence surveys.     

The satisfaction of Finnish adoptive parents with statutory pre-adoption counselling in inter-country adoptions

We examined how satisfied Finnish adoptive parents were with statutory pre-adoption counselling in inter-country adoptions. The data were collected through the Finnish Adoption Study using a retrospective survey measuring satisfaction with received pre-adoption counselling. All adoptive parents with a child under the age of 18, adopted from abroad between the years 1990 and 2007, were included. The sample of the study comprised parents of 1451 children and a total response rate of 55.7% was achieved. The data consisted of self-scored reports of satisfaction as well as open answer questions. Parent satisfaction and associated variables were analysed using chi-square and multiple logistic regression. Of the respondents, 81.7% reported satisfaction with the pre-adoption counselling they had received. The level of satisfaction was stable over time and did not differ according to service provider, whereas family type and sending country were associated with satisfaction. However the explanations for satisfaction were different for those services provided in units specialized in adoption and for those provided by municipal child protection services. The components found to explain satisfaction and dissatisfaction were experience, adoption knowledge, and attitude of the social worker, service accessibility and availability issues, as well as the content of the pre-adoption counselling offered.     

Parents’ Union Dissolution and Adolescents’ School Performance: Comparing Methodological Approaches

We use data from the National Longitudinal Study of Adolescent Health and the Adolescent Health and Academic Achievement Study to estimate how parents’ union dissolution influences changes in adolescents’ mathematics course work gains, overall grade point average, and course failure rates during a window of approximately 1 year (N =2,629). A primary purpose of this study is demonstrating the utility of propensity score matching techniques for studying topics such as ours that pose methodological challenges such as dealing with endogeneity and selection bias. We compare propensity score matching techniques to ordinary least squares (OLS) regression methods to show and discuss comparability of results obtained using these different procedures. Findings suggest that associations between parents’ union dissolution and achievement may be causal, regardless of method used.     

School: One world or two worlds? Children's perspectives

The interlinguistic and intercultural comparability of school satisfaction as a component of subjective well-being (SWB) is analysed using a sample of 11 to 14-year-olds extracted from the Children's Worlds international database, which includes 15 countries (N = 17,246). To this end, two multi-item scales and one single-item scale on overall life satisfaction were adopted as indicators of SWB. Six items on satisfaction with different facets of school life were included as subjective indicators of school satisfaction.Previous analyses conducted by different authors in several countries were replicated by means of multiple regression analysis in order to explore which items could be better used to test models which alternatively use one or two latent variables. Different options were considered and analysed using Structural Equations Modelling (SEM) to estimate the most appropriate model for a cross-country comparison of school satisfaction as a component of SWB. Multi-group SEM was used on six items regarding school-related satisfaction, related alternatively to one and two latent variables. We propose a multi-group model with two latent variables for school-related satisfaction related to the SLSS and OLS for the purposes of cross-cultural comparison; the model displays excellent fit indexes.     

A cross-national study of a method for researching non-profit organisational effectiveness

Are there criteria that define non-profit organisation effectiveness? If the criteria can be identified, is it possible to use them in a comparative study to assess whether and in what way the use of the criteria may vary between nations? This study addresses both questions. The study uses the factorial survey method and is based on the social constructionist conception that effectiveness is created as an ongoing and sometimes contested outcome of a social judgement process. We illustrate the method with samples from the US and UK and compare the results. The results establish the value of the factorial survey method. Analyses show that both US and UK respondents use percentage expenditures on fund-raising, advocacy emphasis, change in financial surplus and unit cost of services as effectiveness criteria. There is evidence that voluntarism is a more important criterion in the US and that advocacy is more important in the UK.     

The meaning of patient satisfaction with prepaid primary health care in Israel

This paper reports the development of a self-administered Hebrew-language questionnaire for assessing patient satisfaction with primary care in Israel. Four scale measures of patient satisfaction were empirically constructed. These scales pertained to doctor conduct, doctor-patient communication, teamwork, and ease of access. In addition, a single direct question was used to measure overall satisfaction with the care. Ratings of all aspects of care were negatively skewed, with doctor-conduct and doctor-patient communication usually being the most satisfactory aspects and access the least satisfactory. It was shown that different practices, or the same practice at different points in time, can easily and meaningfully be compared, using mean satisfaction scores, measures of standard deviation, or percentages in each practice with ratings above (or below) the overall mean of all practices. The use of specific measures of patient satisfaction for comparison and intervention is discussed.     

The performativity of surveys: Teenagers’ meaning-making of the 'Health Behavior in School-aged Children Survey' in Sweden

The Health Behaviour in School-Aged Children survey contains scales intended to measure life satisfaction, mental health problems and socioeconomic status. This article takes inspiration from science and technology studies and analyse the survey as performative. It also examines subjective meaning-making through an analysis of interviews with 15-year-old teenagers. It shows how the survey enacts the subject position of an accountable teenager and how teenagers experience the survey as sending a message about how one should live. While some teenagers experience this as positive, others narrate feelings of shame. This could be interpreted as a way for them to be accountable for themselves.     

Reflections on the application of the Delphi method: lessons from a case in public transport research

The paper outlines the author’s experience employing the Delphi method, using as an example a particular application of the Delphi in the field of public transport research. Attention is given to aspects such as the choice of method, selection of experts, design of questionnaires, interaction between survey coordinator and participants, and also the analysis of experts’ responses. Some of the challenges encountered during the survey, the way they were dealt with, and risk mitigation strategies used by the Delphi coordinator are highlighted too. The primary objective of this paper is to offer insights that can support other researchers or practitioners preparing to apply the Delphi methodology. Furthermore, the article contributes to the methodological debate by reflecting on the introduction of novel practices that can help overcome some typical pitfalls of the Delphi: a dedicated blog supporting the survey, safety-net questions, and a constant-sum type question.     

Modelling financial satisfaction across life stages: A latent class approach

We explore the determinants of financial satisfaction using a modelling framework which allows the drivers of financial satisfaction to vary across life stages. Given that financial satisfaction is measured as an ordered variable, our modelling approach is based on a latent class ordered probit model with an ordered probit class assignment function. Our analysis of household survey data indicates that four life stages are supported by the data. Our results suggest that such flexibility is important in understanding the drivers of financial satisfaction over the life cycle since there is a substantial amount of parameter heterogeneity across the four classes.     

Comparison of indirect and direct approaches to measuring patient satisfaction

One indirect (PSQ) and two direct (CSQ-18B and ERS) measures of patient satisfaction were compared across a series of psychometric, acceptability, and concurrent validity criteria. None of the three measures was significantly related to health status or demographic characteristics. Each measure performed as expected from prior research on their psychometric properties. The scales contrasted, however, in regard to acceptability, with the PSQ being much less acceptable to patients than the other two. The PSQ also produced more missing data. The results on the PSQ reflected patient inconsistency on cross-check items and patients tended to be uncertain in their responses to many items. In multivariate analyses the three measures were used as predictors of patient-rated indices of global service satisfaction. The CSQ-18B and the ERS were significant predictors of patient-rated indices of global service satisfaction, whereas the PSQ was unrelated to these indices. It was concluded that the direct and indirect approaches measure different satisfaction domains. The PSQ likely assesses more generalized attitudes about health services while the CSQ-18B and the ERS efficiently reflect opinions about the specific setting in which they are administered.     

Equity and Relationship Maintenance in First Marriages and Remarriages

ABSTRACT

Research indicates that individuals in remarriages experience less marital satisfaction than individuals in a first marriage. This study sought to determine whether variations in equity and maintenance might explain this phenomenon. A sample of 547 married individuals from the United States completed an online survey. Results suggested virtually no differences in the use of positive or negative maintenance by marriage type. Although maintenance use predicted a larger amount of the variance in satisfaction among those who were remarried, more maintenance behaviors entered the regression equation predicting satisfaction for individuals in first marriages. Finally, equity predicted the use of maintenance for both marriage types.     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.