Quelle: Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 13 (2019) 1, S 59-90
Inhalt: Questions on earnings are counted among sensitive topics that often produce high rates of item nonresponse or measurement error. Both types of bias are well documented in the literature and are found to concentrate in the tails of the earnings distribution. In this paper, we explore whether measurement error on earnings could be explained by socially desirable
reporting and whether the error is impacted by interviewer characteristics. Using the linked dataset NEPS-SC6-ADIAB, which contains survey data from the German National Educational Panel Study, Starting Cohort "Adults", linked to administrative earnings records from the German Federal Employment Agency, we analyze the extents of over- and underreporting and the influence of respondent and interviewer characteristics on these behaviors for different quartiles of the earnings distribution. Our results show that the average level of misreporting is relatively low (approximately 6% of median earnings). Our main logistic model reveals that female and more highly educated respondents report significantly more accurately while those with higher earnings misreport to a significantly greater extent. Regarding the impact of personality traits on reporting accuracy, we find significant positive effects for more agreeable respondents and significant negative effects for extraverted respondents. When differentiating by the direction of misreporting, we find, for instance, that women are less likely to overreport across all earnings quartiles. However, the influence of interviewer characteristics is negligible.
Non-Randomized Response Models: An Experimental Application of the Triangular Model as an Indirect Questioning Method for Sensitive Topics
Autor/in:
Erdmann, Anke
Quelle: Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 13 (2019) 1, S 139-167
Inhalt: When it comes to sensitive questions, data is often affected by bias due to non-response or effects of social desirability. Several methods have been introduced to eliminate answer bias by using randomization processes and probabilistic theory to obscure the respondent’s answer and create anonymity, thus facilitating honest answers. The probably most traditional method is the Randomized Response Technique by Warner (1965). However, this method is loaded with certain disadvantages. Therefore, in the last decade, newer methods were introduced that aim at balancing the disadvantages and weaknesses of previous methods, for instance, the non-randomized models Crosswise Model and Triangular Model (Yu et al. 2008) as well as the Parallel Model (Tian 2014). Although especially the Triangular Model is easy to implement in a study, there is only little empirical evidence on its application in different survey modes and populations. Further, it is to assume that certain questions are not equally sensitive for everybody due to specific personal characteristics. Thus, indirect questioning might not be effective in general but only for certain populations. The present study extends prior work on the Triangular Model by evaluating it for different subgroups. The conducted experiment asks for sensitive characteristics in the context of mental stress among students. The Triangular Model achieves significantly higher percentages than conventional direct questioning for illegal drug use among persons that answer socially desirable according to the characteristic of Self-Deception. For the other analyzed subgroups (Impression Management, gender, and depressiveness), the Triangular Model could not achieve higher prevalence rates compared to direct questioning on a sufficient probability level. But still, hard evidence on the effectiveness of indirect questioning models is thin and further critical discussion is needed.
Schlagwörter:Umfrageforschung; survey research; Datengewinnung; data capture; Datenqualität; data quality; Antwortverhalten; response behavior; soziale Erwünschtheit; social desirability; Anonymität; anonymity; psychische Gesundheit; mental health; Drogenkonsum; drug use; Triangular Model; Indirect Questioning; Survey Methodology; Non-Randomized Response
SSOAR Kategorie:Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Using cultural and structural indicators to explain measurement noninvariance in gender role attitudes with multilevel structural equation modeling
Autor/in:
Seddig, Daniel; Lomazzi, Vera
Quelle: Social Science Research, (2019) 84
Inhalt: The current study explores the reasons for noninvariance of the measurements of gender role attitudes across countries. While previous studies have shown that noninvariance is a problem for comparative research and pointed out methods to alleviate the risks of drawing invalid conclusions, none has so far tried to explain why measurements of gender role attitudes are nonequivalent. Therefore, we use multilevel structural equation modeling to exploring measurement invariance and explain its absence. We use data assessing peoples' views on the specialization of roles by gender and the consequences of female employment on family's well-being from the International Social Survey Programme. We can replicate the findings from prior research indicating that scalar measurement invariance across countries is absent. Furthermore, we use two country-level variables to explain the noninvariance of particular items. The cultural value embeddedness explains noninvariance to a considerable degree while the Gender Inequality Index from the United Nations Development Programme does not. Therefore, we conclude that issues of comparability of gender role attitudes are related mainly to cultural rather than structural differences between countries.
Schlagwörter:Geschlechtsrolle; gender role; Einstellung; attitude; Messung; measurement; vergleichende Forschung; comparative research; Umfrageforschung; survey research; Datengewinnung; data capture; Datenqualität; data quality; Wertorientierung; value-orientation; kulturelle Faktoren; cultural factors; soziale Ungleichheit; social inequality; gender-specific factors; measurement noninvariance; multilevel structural equation modeling; cultural values; gender inequality; ISSP
SSOAR Kategorie:Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Frauen- und Geschlechterforschung
Using Alignment Optimization to Test the Measurement Invariance of Gender Role Attitudes in 59 Countries
Autor/in:
Lomazzi, Vera
Quelle: Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 12 (2018) 1, S 77-103
Inhalt: Several repeated cross-national surveys include measurements of attitudes toward gender roles to investigate individuals’ beliefs regarding the appropriateness of men and women’s roles in a particular context. When used to compare attitudes across countries, these measurements reveal critical factors that could cause a lack of equivalence between different cultural contexts, and that could therefore produce misleading results. Nevertheless, the use of such measures to compare country means without assessing measurement equivalence is common. It should also be considered that the assessment of equivalence within a large-scale sample from cross-sectional surveys through multigroup confirmatory factor analysis (MGCFA) often fails because of the strict requirements necessary. The current article is used to assess the measurement equivalence of the gender role attitudes scale included in the last wave of the World Values Survey in 59 countries, with the main goal of identifying the most invariant model for the largest number of groups. The study involved comparing two methods belonging to the frequentist approach: MGCFA and the frequentist alignment procedure, a highly novel and promising method that is still rarely used. Using the first technique, partial scalar invariance was achieved for 27 countries. By employing the frequentist alignment optimization, an acceptable degree of noninvariance was achieved for 35 countries. Thus, the study confirmed the frequentist alignment procedure as a viable alternative to the MGCFA.
Dealing with Space and Place in Standard Survey Data
Autor/in:
Hillmert, Steffen; Hartung, Andreas; Weßling, Katarina
Quelle: Survey Research Methods, 11 (2017) 3, S 267-287
Inhalt: Heterogeneity of local conditions and spatial dependencies are typical aspects of sociological phenomena. However, large-scale empirical data is often rather limited with regard to the spatial references that are (publicly) available to researchers. We describe several aspects of the problem and assess possibilities and potential errors associated with limited information. Our examples are returns to education and gender-based and migration-related wage gaps as popular research topics. We base our analyses upon widely used survey data from Germany, the GSOEP, which contains geographical information on various levels of aggregation. Our particular interest is in the decisions that have to be made with regard to problems of space and place in standard surveys, available options and consequences. We conclude with a number of practical suggestions for data users.
Testing the Goodness of the EVS Gender Role Attitudes Scale
Titelübersetzung:Test de la qualité de l'échelle EVS d'attitude du rôle de genre
Autor/in:
Lomazzi, Vera
Quelle: Bulletin de Méthodologie Sociologique, (2017) 135, S 90-100
Inhalt: This study provides a critical evaluation of the gender role attitude scale included in the fourth wave of the European Values Study. The goodness of this scale is tested considering first of all its reliability and the stability of the factorial structure. The results suggest caution in the use of this instrument: the scale presents a deep variation in reliability across countries and its configuration is not stable, displaying several different factor structures from one country to another. In considering the source of this instability, this study addresses a priming effect due to questions introduced in 2008 immediately prior to the use of the gender role attitudes scale that modified the context of response.
Testing the Goodness of the EVS Gender Role Attitudes Scale
Titelübersetzung:Test de la qualité de l'échelle EVS d'attitude du rôle de genre
Autor/in:
Lomazzi, Vera
Quelle: Bulletin de Méthodologie Sociologique, (2017) 135, S 90-100
Inhalt: This study provides a critical evaluation of the gender role attitude scale included in the fourth wave of the European Values Study. The goodness of this scale is tested considering first of all its reliability and the stability of the factorial structure. The results suggest caution in the use of this instrument: the scale presents a deep variation in reliability across countries and its configuration is not stable, displaying several different factor structures from one country to another. In considering the source of this instability, this study addresses a priming effect due to questions introduced in 2008 immediately prior to the use of the gender role attitudes scale that modified the context of response.
Sozialwissenschaftliche Daten zur Erforschung von Kinderlosigkeit und Kinderreichtum
Autor/in:
Dreschmitt, Kai; Naderi, Robert
Quelle: Bundesinstitut für Bevölkerungsforschung (BIB); Wiesbaden (BiB Working Paper, 4-2015), 2015. 20 S
Inhalt: Thema dieses Papers ist, wie sich die aktuelle sozialwissenschaftliche Datenlage für die Erforschung von Kinderlosigkeit und Kinderreichtum darstellt und welche Einschränkungen in dieser Hinsicht existieren. Es wird eine Auswahl von sozialwissenschaftlichen Datenquellen vorgestellt, die als vergleichsweise relevant eingestuft werden, darunter die Panel Analysis of Intimate Relationships and Family Dynamics (PAIRFAM), die Studie Job Mobilities and Family Lives in Europe (JobMob), das Sozio-oekonomische Panel (SOEP) und das Eurobarometer. Diese und andere Studien werden mithilfe von Kriterien wie der erfassten Altersgruppen, der Fallzahlen und der verfügbaren Variablen analysiert. Im Mittelpunkt steht die Frage, inwieweit sie für die Forschungsfragen des K&K-Projekts und allgemein zur genaueren Betrachtung von kinderlosen bzw. kinderreichen Paaren nutzbar sein können. Die Analyse ergibt, dass die untersuchten Erhebungen zwar für einzelne Aspekte und Fragestellungen des Projekts geeignet sind, allerdings gibt es keinen Datensatz, der alle gewünschten Kriterien erfüllen kann.
Inhalt: Above all the project "childlessness and large families" aims to investigate significant factors to explain the (not occurring) transition to the first and the third child. This question is supposed to be answered predominantly by analyzing quantitative data, especially using surveys and panels. Therefore this paper presents a range of social sciences data-sources and investigates whether these sources are relevant for the project. We focus on nine data-sources that are in our opinion principally usable for the research questions of our project. The following datasets are described briefly: Panel Analysis of Intimate Relationships and Family Dynamics (PAIRFAM), Job Mobilities and Family lives in Europe (JobMob), Working and Learning in a Changing World (ALWA), National Educational Panel Study (NEPS), German Socio-Economic Panel (SOEP), Familien in Deutschland (Familys in Germany) (FiD), Generations and Gender Survey (GGS), Eurobarometer (2006 und 2011), Aufwachsen in Deutschland: Alltagswelten (Growing up in Germany: Everydays Life World) (AID:A). For each data-source the percentages of childless respondents with large families are described. These are reflected also in the context of the number of available cases. The main result of the investigation is that all described datasets can be used for the one or the other aspect of analysing childlessness or large families. But there is no secondary source which meets all criteria that are principally desirable.
Schlagwörter:Fruchtbarkeit; fertility; generatives Verhalten; reproductive behavior; Geburt; birth; Kinderlosigkeit; childlessness; Kinderzahl; number of children; Lebenslauf; life career; Umfrageforschung; survey research; Panel; panel; Stichprobe; sample; Daten; data; Altersgruppe; age group
SSOAR Kategorie:Bevölkerung, Erhebungstechniken und Analysetechniken der Sozialwissenschaften