Membership Probabilities Research Articles

Characterization of the Blue Straggler Star Populations, through Statistical, Photometric, and Spectral Energy Distribution Analysis, in the Old Open Cluster: NGC 2243

We present a statistical, photometric, and spectral energy distribution (SED) analysis of the poorly studied old open cluster: NGC 2243, to characterize its blue straggler star (BSS) population. We applied ensemble-based unsupervised machine learning methods to estimate the membership probabilities using Gaia Data Release 3 (DR3) astrometric data. NGC 2243 is an open cluster that is 3.67 Gyr old with a metallicity of −0.375 dex, situated at a distance of 3.65 kpc. By analyzing the position of cluster members on the color–magnitude diagram using MIST isochrones, we have identified 12 potential BSSs in NGC 2243. We fitted the radial surface density profile and investigated the dynamical state and mass segregation effect of the cluster. It is found that the BSSs are significantly concentrated within the central region. We used data from Swift/UVOT, Gaia DR3, Pan-STARRS1 DR2, 2MASS, and WISE to fit the SEDs of the 12 identified BSSs using VOSA. We estimated the masses of the BSSs from the Hertzsprung–Russell diagram and found that they ranged from 1.25 to 2.22 M ☉. Consequently, we concluded that the BSSs likely gained 0.11–1.08 M ☉ through the mass transfer or merger channels. We discovered a hot companion associated with one BSS candidate, which has a temperature of 19,000 K, a luminosity of 0.55 L ☉, and a radius of 0.065 R ☉. The hot companion is probably a white dwarf, with its mass estimated to be approximately 0.18–0.20 M ☉ and an age of 186 Myr, suggesting it is a post-mass-transfer (Case A or Case B) system.

Parenting Risk and Protective Factors in the Development of Conduct Problems in Seven Countries.

This study advances the understanding of risk and protective factors in trajectories of conduct problems in adolescence in seven countries that differ widely on a number of sociodemographic factors as well as norms related to adolescent behavior. Youth- and parent-report data from 988 adolescents in seven countries (Colombia, Italy, Kenya, Philippines, Sweden, Thailand, and the USA) who were followed longitudinally from ages 10 to 18 (yielding 6872 total data points) were subject to latent class growth analysis. A 4-class model provided the best fit to the data: Late Starters, Alcohol Experimenters, Mid-Adolescent Starters, and Pervasive Risk Takers. The probability of membership in each class differed by country in ways that were generally consistent with country-specific norms and expectations regarding adolescent behavior. Positive parenting was associated with a lower likelihood of adolescents' membership in the Pervasive Risk Takers class, whereas psychological control, monitoring/behavioral control, and autonomy granting were associated with a higher likelihood of membership in the Pervasive Risk Takers class. Associations between parenting and membership in the other classes suggest that some risk taking during adolescence is normative even when parenting is positive.

Photometric, astrometric, and kinematical characteristics of two Xuyi’s open clusters utilizing Gaia DR3 data

This study reports and examines two poorly studied open star clusters surveyed from XSTPS-GAC, namely Xuyi 15 and Xuyi 23, using the Gaia DR3 catalog data. We identified 570 (Xuyi 15) and 824 (Xuyi 23) stars as highly probable astrometric members with membership probability higher than 60%. By fitting King’s profile on radial density profiles (RDPs), we estimated both core and limiting radii and found rc about 1.95 ± 0.07 (Xuyi 15) and 4.55 ± 0.47 (Xuyi 23) while rlim are about 8.55 ± 2.92 (Xuyi 15) and 16.56 ± 4.07 (Xuyi 23) in pc units. We constructed CMDs for both clusters and calculated the fundamental parameters using the best-fitted isochrones of metallicity Z=0.03 and log age (yr) = 9.0 ± 0.05. The heliocentric distances are determined to be 7.413±0.90 kpc and 6.223±0.80 kpc for the clusters Xuyi 15 and Xuyi 23, respectively, using the isochrone fitting method. We have also obtained distances as 7.05-0.25+0.65 and 6.90-0.30+0.72 kpc for both clusters using the Bailer-Jones method. Moreover, total mass (MC;M⊙) was deduced with mass-luminosity relation (MLR) as 684 ± 26 and 1158 ± 34 and luminosity function (LF) concluded the absolute (MG; mag) of 4.05 ± 0.05 and 3.42 ± 0.04 for Xuyi 15 and Xuyi 23 clusters respectively. The overall mass function reflects the slopes (α) for Salpeter’s value (2.35) within the uncertainty (i.e., αXuyi15 = 2.52 ± 0.06 and αXuyi23 = 2.34 ± 0.05). The present study and the dynamical analysis for different evolving times demonstrate that the clusters are dynamically relaxed, where the dynamical evolution parameter (τ) is much greater than one. Finally, we computed their coherent convergent points with AD-diagram method, thus (Ao,Do) are (99o.27 ± 0o.11, 20o.91 ± 0o.22; Xuyi 15) and (123o.34 ± 0o.09, -58o.27 ± 0o.13; Xuyi 23).

Tidal tails of open clusters

Context. Open clusters that emerged from the star-forming regions as gravitationally bound structures are subjected to star evaporation, ejection, and tidal forces throughout the rest of their lives. Consequently, they form tidal tails that can stretch kiloparsecs along the cluster’s orbit. Aims. Cluster members are typically found by searching for overdensities in some parameter space (positions and velocities or sometimes actions and orbital parameters of stars). However, this method is not effective at identifying stars located in the tidal tails far from the open cluster cores. We present a probabilistic method for finding distant cluster members without relying on a search for overdensities and apply it to 476 open clusters. Methods. First, we simulated the dissolution of a cluster and obtained a probability distribution (likelihood) describing where cluster members are to be found. The distribution of stars from the Gaia DR3 catalogue in high likelihood regions was then compared to the simulated stellar population of the Galaxy to define the membership probability of each star. Results. The survey of cluster members included all stars with a magnitude of G < 17.5 and larger clusters with an age of > 100 Myr within 3 kpc from the Sun. We successfully found stars with high membership probabilities in the tidal tails of most clusters. The recovered tidal tails stretch more than a kiloparsec from the cluster cores in some cases. We analysed the morphological properties of the tidal tails and demonstrated how properly normalised membership probabilities aid systematic studies of open clusters. Finally, we have published a catalogue of stars found in the tidal tails.

Health outcome convergence and the roles of public health financing and governance in Africa.

Progress in health outcomes across Africa has been uneven, marked by significant disparities among countries, which not only challenges the global health security but impede progress towards achieving the United Nations' Sustainable Development Goals 3 and 10 (SDG 3 and SDG 10) and Universal Health Coverage (UHC). This paper examines the progress of African countries in reducing intra-country health outcome disparities between 2000 and 2019. In other words, the paper investigates the convergence hypothesis in health outcome using a panel data from 40 African countries. Data were sourced from the World Development Indicators, the World Governance Indicators, and the World Health Organization database. Employing a non-linear dynamic factor model, the study focused on three health outcomes: infant mortality rate, under-5 mortality rate, and life expectancy at birth. The findings indicate that while the hypothesis of convergence is not supported for the selected countries, evidence of convergence clubs is observed for the three health outcome variables. The paper further examine the factors contributing to club formation by using the marginal effects of the ordered logit regression model. The findings indicate that the overall impact of the control variables aligns with existing research. Moreover, governance quality and domestic government health expenditure emerge as significant determinants influencing the probability of membership in specific clubs for the child mortality rate models. In the life expectancy model, governance quality significantly drives club formation. The results suggest that there is a need for common health policies for the different convergence clubs, while country-specific policies should be implemented for the divergent countries. For instance, policies and strategies promoting health prioritization in national budget allocation and reallocation should be encouraged within each final club. Efforts to promote good governance policies by emphasizing anti-corruption measures and government effectiveness should also be encouraged. Moreover, there is a need to implement regional monitoring mechanisms to ensure progress in meeting health commitments, while prioritizing urbanization plans in countries with poorer health outcomes to enhance sanitation access.

Investigating aquaculture farmers' preferences for multiobjective green production schemes: A discrete choice experiment in China

In recent years, the objectives of green agricultural development have increasingly diversified, incorporating food safety, pollution control, and resource conservation. This diversification has further heightened the potential for conflicts between policy objectives and the individual interests of farmers. Understanding farmer trade-offs with respect to multiobjective green production (MOGP) policies is crucial for the comprehensive implementation of agricultural green development policies. The green and healthy aquaculture action (GHAA) encompassing multiple green technology objectives promoted by the Chinese government provides a favorable policy context. On the basis of the policy background of the GHAA, this study utilized the choice experiment method (CEM) to explore the preferences of aquaculture farmers for various green technology objectives and supporting measures. The results indicate that aquaculture farmers are willing to make trade-offs among various green technology objectives with the support of specific measures to transform traditional production methods. Farmers have varying preferences for different green technology objectives. Overall, they tend to prefer implementing compound feed utilization but are averse to implementing aquaculture effluent treatment. In terms of support measures, providing technical guidance is more effective than providing aquaculture insurance in incentivizing farmers to participate in MOGP schemes. Further analysis indicates that there are three latent preference classes, which differ in their preferences for green technology objectives and support measures. Age, gender, aquaculture area, risk preferences, and participation in cooperatives explain the probability of preference class membership.

A Statistical, Photometric, and SED Analysis to Characterize the BSS Populations in Old Open Cluster: Berkeley 39

ABSTRACT We present a statistical, photometric, and spectral energy distribution (SED) analysis to characterize the blue straggler stars (BSSs) populations in the Galactic old open cluster Berkeley 39. Berkeley 39 is a 6.16 Gyr old open cluster located at a distance of 3.99 Kpc.Gaia DR3 astrometry data have been used to estimate the membership probabilities using ensemble-based unsupervised machine learning techniques. We identified 21 BSS candidates on the colour–magnitude diagram, with 19 of them being detected in the Swift/UVOT UVW2 filter. We analysed the radial surface density profile and examined the cluster dynamical states and mass segregation effect. The SEDs of 19 BSSs are constructed using multiwavelength data covering UV to IR wavelengths. A single-component SED is fitted successfully for 14 BSS candidates. We discovered hot companions in five BSS candidates. These hot companions have temperatures of approximately 14 000 to 23 000 K, radii ranging from 0.04 to 0.13 R$_{\odot }$, and luminosities ranging from 0.16 to 2.91 L$_{\odot }$. Among these, three are most likely extremely low-mass white dwarfs (WDs) with masses around 0.17 to 0.18 M$_{\odot }$, and two are low-mass WDs with masses around 0.18 to 0.39 M$_{\odot }$. This confirms that they are post-mass transfer (Case A or Case B) systems. We also investigated the variable characteristics of BSSs by analysing their light curves using data from TESS. Our analysis confirms that two BSSs identified as eclipsing binaries in Gaia DR3 are indeed eclipsing binaries. Additionally, one of the two eclipsing binary BSSs shows evidence of having hot companions, as indicated by the multiwavelength SEDs.

Photometric and Kinematic Studies of Open Clusters Ruprecht 1 and Ruprecht 171

ABSTRACTThis study outlines a detailed investigation using CCD UBV and Gaia DR3 data sets of the two open clusters Ruprecht 1 (Rup‐1) and Ruprecht 171 (Rup‐171). Fundamental astrophysical parameters such as color excesses, photometric metallicities, ages, and isochrone distances were based on UBV‐data analyses, whereas membership probability calculations, structural and astrophysical parameters, as well as the kinematic analyses were based on Gaia DR3‐data. We identified 74 and 596 stars as the most probable cluster members with membership probabilities over 50% for Rup‐1 and Rup‐171, respectively. The color excesses were obtained as and mag for Rup‐1 and Rup‐171, respectively. Photometric metallicity analyses were performed by considering F‐G type main‐sequence member stars and found to be and dex for Rup‐1 and Rup‐171, respectively. Ages and distances were based on both UBV and Gaia‐data analyses; according to isochrone‐fitting these values were estimated to be Myr, pc for Rup‐1 and Myr, pc for Rup‐171. The present‐day mass function slope of Rup‐1 was estimated as and Rup‐171 as . Galactic orbit integration analyses showed that both of the clusters might be formed outside the solar circle.

Filling in the blanks

Context. In the solar neighbourhood, only ∼2% of stars in the Gaia survey have a line-of-sight velocity (vlos) contained within the RVS catalogue. These limitations restrict conventional dynamical analysis, such as finding and studying substructures in the stellar halo. Aims. We aim to present and test a method to infer a probability density function (PDF) for the missing vlos of a star with 5D information within 2.5 kpc. This technique also allows us to infer the probability that a 5D star is associated with the Milky Way’s stellar Disc or the stellar Halo, which can be further decomposed into known stellar substructures. Methods. We use stars from the Gaia DR3 RVS catalogue to describe the local orbital structure in action space. The method is tested on a 6D Gaia DR3 RVS sample and a 6D Gaia sample crossmatched to ground-based spectroscopic surveys, stripped of their true vlos. The stars predicted vlos, membership probabilities, and inferred structure properties are then compared to the true 6D equivalents, allowing the method’s accuracy and limitations to be studied in detail. Results. Our predicted vlos PDFs are statistically consistent with the true vlos, with accurate uncertainties. We find that the vlos of Disc stars can be well-constrained, with a median uncertainty of 26 km s−1. Halo stars are typically less well-constrained with a median uncertainty of 72 km s−1, but those found likely to belong to Halo substructures can be better constrained. The dynamical properties of the total sample and subgroups, such as distributions of integrals of motion and velocities, are also accurately recovered. The group membership probabilities are statistically consistent with our initial labelling, allowing high-quality sets to be selected from 5D samples by choosing a trade-off between higher expected purity and decreasing expected completeness. Conclusions. We have developed a method to estimate 5D stars’ vlos and substructure membership. We have demonstrated that it is possible to find likely substructure members and statistically infer the group’s dynamical properties.

대학의 지원에 대한 성인학습자의 인식: 잠재집단 분류 및 영향요인

The purpose of this study is to identify types of perceived institutional support among adult learners at four-year universities in Korea and to investigate how predictors and outcomes of institutional support vary across different groups. A latent profile analysis was employed to analyze data of 465 adult learners, sourced from the Korea-National Survey of Student Engagement surveyed in 2023. The main findings are as follows. First, four distinct types of perceived institutional support were identified: (a) unsatisfactory and avoidance, (b) ordinary and casual, (c) satisfactory and engagement, and (d) relationship-oriented. Second, significant factors differentiating the latent profile membership probabilities included grade, university admission type, type of high school, collaborative behavior, academic self-efficacy, and career maturity. Lastly, institutional commitment, as an outcome of university experience, was found to be higher in the ‘satisfactory and engagement’ group compared to others. Based on the findings, we discussed academic and practical implications for building adult-friendly university support systems that enrich adult learners’ student engagement and institutional commitment.

Bayesian approaches to assigning the source of an odour detected by an electronic nose

After a brief review of electronic nose technology, the use of an Australian electronic nose to identify an unknown odour out of a set of known odours is described. Multivariate supervised learning is accomplished by applying Bayes’ theorem to data from metal oxide semiconductor sensors responding to each of a number of target odours. An odour from an unknown source is then assigned a probability of membership of each of the training sets by applying either a Naïve Bayes algorithm to the deemed independent data from each sensor, or to a multinormal distribution of the data. A flat prior (equal probabilities of each outcome) is usually adopted, but for particular situations where one odour is known to predominate, then suitably weighted priors can be used. A source ‘none of the above’, which has a small likelihood covering the space of the possible sensor responses, is included for completeness. This also avoids the assignment to a source that has an extremely small probability but which is greater than that of any other source. Examples are given of a single source (detecting diabetes from a patient’s breath), and three sources of unpleasant odours in a meat processing plant.

Discovery of 226 [formula omitted] Scuti and [formula omitted] Doradus Stars near NGC 6871 with TESS

We present the discovery of 269 pulsating variable stars of δ Scuti, γ Doradus, and Maia types in the vicinity of the open cluster NGC 6871, using data from the Transiting Exoplanet Survey Satellite (TESS). Our small-scale regional survey centered on the δ Scuti star V1821 Cyg in the open cluster NGC 6871, covering a radius of one degree. The results include a remarkable total of 1512 newly classified variable stars, comprising the following categories: 105 δ Scuti stars, 121 γ Doradus stars, 50 Maia variables, 198 eclipsing binary systems, with 12 exhibiting pulsating or rotating components, 500+ rotating variable stars, and dozens of other types. Out of 1512 newly discovered variable stars, 108 are confirmed members of NGC 6871 with a membership probability exceeding 50%. Notably, dedicated Fourier analyses were applied to eight representative stars from the newly discovered variables. Among these, one star exhibits a rich and complex pulsation spectrum characterized by amplitude variations in dominant pulsations. To contextualize the new pulsators, we plotted them in the Hertzsprung–Russell diagrams alongside the largest known group of class member stars. Surprisingly, both δ Scuti and γ Doradus stars occupy nearly the same region in the diagrams, hinting at a potential unified pulsation mechanism. This study contributes valuable insights into the variability census of NGC 6871 and sheds light on the pulsation behavior of different stellar types. Further investigations into the physical properties and evolutionary status of these stars are warranted.

Unraveling the complexity and instability of negative emotional eating: A latent transition analysis

The manifestations of emotional eating are complicated, encompassing both over- and under-eating. However, little is understood about how emotional over- and under-eating constitute individuals' eating patterns and how these patterns change over time. Employing latent transition analysis, a longitudinal and person-centered approach, this study examined the patterns and stability of emotional eating. Over six months, 755 participants completed two waves of self-reported questionnaires. Results revealed four distinct latent profiles: Low Emotional Eaters (11.5–15.8%), Emotional Eating-Undereaters (31.1–40.5%), Emotional Eating-Overeaters (15.9–18.3%), and Combined-Emotional Eaters (29.7–37.2%). Approximately 50% of participants in each profile maintained their behavioral patterns over time, with transitions often shifting towards Combined-Emotional Eaters. Individuals in the profile of Emotional Eating-Overeaters exhibited the highest level of anxiety, depression, stress, and disordered eating. Gender, self-esteem level, and self-esteem instability were associated with profile membership and transition probabilities. These findings highlight the presence of distinct and relatively unstable patterns of negative emotional eating, indicating the potential distinction between trait and state emotional eating. Recognizing these inherent characteristics is crucial for future studies and intervention programs addressing negative emotional eating.

Smooth Ordered Weighted Averaging operators

The study demonstrates the application of OWA operators to binary and multiclass classification problems and seeks a way to improve classification accuracy using smoothing methods. OWA operators are used to aggregate class membership probabilities obtained from individual classifiers. Smoothing methods inspired by Newton-Cotes quadratures are applied before the aggregation step to improve the quality of the final results. Moreover, several sets of weights are used for OWA operators, including sets of weights based on the accuracy of individual classifiers. The experiments are conducted on 20 datasets, from which 7 are designed for binary classification and the rest are for multiclass classification. A comparison of the average accuracy for different sets of weights is shown. On the basis of experimental results, smoothing methods that significantly improve classification accuracy are identified.

Study on ring-road incident duration based on latent class accelerated hazard model.

Accurately estimating the duration of freeway incidents can enhance emergency management practices and reduce the likelihood of secondary incidents. To investigate the mechanisms through which key factors influence incident duration, this study sorted out the characteristics and variables of the incident duration on a special freeway in Zhejiang Province, that is, the ring road, and developed a latent class accelerated hazard model. Heterogeneity was incorporated into the model. Three distributions (Weibull, Log-normal, and Log-logistic) were compared, and the Log-logistic distribution exhibited superior performance. The analysis revealed two distinct latent classes: Latent Class 1 and Class 2, had class membership probability of 0.53 and 0.47, respectively, with a total of 11 variables being statistically significant at the 0.05 significance level. It is worth noting that, some neglected explanatory variables are discussed in depth in this study. For example, the mechanism of which specific lane is closed has an impact on the incident duration, rather than a general discussion of the number of lane closures. Furthermore, the way in which the driver involved in the incident reports to the police has a significant impact on the duration of incidents. Notably, potential heterogeneity and its influencing mechanism are captured in the model. Additionally, by predicting class membership using posterior probabilities, it was determined that most data points were more likely to belong to Class 1, and the incident duration primarily ranged between 0 and 60 minutes. These findings are helpful to reduce the duration of incidents on ring-roads and freeways in China, and provide theoretical support for the formulation of freeway incident management and treatment policies.

Group-based trajectory analysis of longitudinal employment patterns and predictors for adults with visual impairments

BACKGROUND: A substantial gap in employment rates has been documented between people with and without visual impairments, but most employment-related research for people with visual impairments has focused on employment at one time point. OBJECTIVE: The purpose of this study was to examine longitudinal employment trajectories by visual impairment and investigate factors associated with trajectories for people with visual impairments. METHODS: The data source was the 2014 Panel of the Survey of Income and Program Participation. Participants were 816 adults with visual impairments and a matched comparison group of 816 adults without visual impairments. We used group-based trajectory modeling to estimate employment trajectories, identify predictors of trajectory group membership, and explore the impact of health on employment trajectories. RESULTS: Visual impairment was associated with a lower probability of membership in the Rising, Declining, and High employment trajectory groups compared to the Low group. Predictors of trajectory group membership included disability benefit receipt, non-visual disabilities, gender, race, age, and education. Fair or poor health was associated with decreases in all four trajectories over time. CONCLUSION: Visual impairment is a risk factor for not working across multiple years. Disability benefit receipt was the strongest predictor of trajectory group membership for this population.

Discovered a new open cluster near the poorly studied Majaess 190

We present the results of a comprehensive astrophysical study of a newly discovered open cluster, dubbed Ash-1. Using the third data release of the Gaia space mission, Gaia DR3, Ash-1 was accidentally discovered within the constellation Sagittarius in the field of the poorly studied cluster Majaess 190. Here we present the first estimates of these two clusters’ primary astrophysical properties. The membership probabilities > 0.50 were assigned to both clusters using the pyUPMASK technique. The distances were determined using the parallaxes of the clusters’ members, which were consistent with the isochrone fitting of the color-magnitude diagrams. The ages and distances of Majaess 190 and Ash-1 are found to be 4 ± 0.05 Gyr and 630 ± 20 Myr; 2130 and 1360 (±80) pc, respectively. The extinctions, heliocentric distances, mass function, luminosity function, and overall masses of the studied clusters were also computed. Based on the relaxation times, it appears that both clusters are in a state of dynamic relaxation.

Population affinities in pre-colonial West Africa: The case of the burial cave Iroungou (Gabon, 14th-15th century CE).

Our knowledge of the populations of sub-Saharan Africa in the periods before European colonization is limited. Few archeological sites containing human remains have been identified, and written sources for these periods are rare. The discovery in 2018 of the Iroungou sepulchral cave (Gabon), whose use predates the arrival of the Portuguese (14th-15th centuries CE), is an exceptional source of information: at least 28 individuals associated with numerous metal artifacts were found there. The anthropobiological remains were left in situ, but the eight best preserved crania were digitized. This study focuses on the population affinities of these crania, whose morphology was described using 237 landmarks. Geometric morphometric analyses were used to compare the eight Iroungou specimens with 154 individuals representing 12 well-defined African populations. After alignment (Generalized Procrustes Analysis), morphological affinity was assessed using Euclidean and Mahalanobis distances, and posterior probabilities of population membership (discriminant analysis). Results indicate that the eight Iroungou crania have, on average, more affinity with Bayaka Pygmy, followed by Central African Bantu. Nevertheless, individually, the Iroungou specimens show an important morphological variation and the eight crania can be separated into different affinity groups: Bayaka and Central African Bantu, KhoeSan, and East-African Bantu. Finally, one individual presents strong affinity with Somalis. This phenetic mapping of the Iroungou sample raises questions about the profile of the individuals deposited in the cave in a geographical area known for the Loango pre-colonial kingdom, which ruling class seemed to have had privileged relationships with the Pygmy populations.

Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases

Researchers are often interested in using latent class or latent profile parameter estimates to obtain posterior class membership probabilities for observations other than those of the original sample. In this paper, we demonstrate that these probabilities typically take on the form of linear logistic equations with coefficients which are functions of the original model parameters. In other words, the posterior class membership probabilities can be computed with a prediction formula similar to that of a multinomial logistic regression model. We derive the scoring equations for nominal, ordinal, count, and continuous indicators, as well as investigate models with missing values on class indicators, local dependencies, covariates, or multiple latent variables. In addition to the mathematical derivations of the scoring equations, we describe how either exact or approximate scoring equations can be obtained by estimating a multinomial regression model using a weighted data set.

A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States

ABSTRACT A maternal vaccine and long-acting monoclonal antibody (mAb) were recently approved to protect infants against respiratory syncytial virus (RSV). We identified subgroups of pregnant people with different preferences for RSV preventives and respondent characteristics associated with subgroup membership. An online survey, including a discrete choice experiment (DCE), was conducted among US pregnant people. RSV preventive attributes included effectiveness, duration of protection during RSV season, injection recipient/timing, preventive type (vaccine or mAb), and type of visit required to receive injection. In DCE choice tasks, pregnant people selected between two hypothetical preventive profiles with varying attribute-levels and a no-preventive option. Logistic regression, including latent class analysis (LCA), was used to analyze the data. Of 992 pregnant people (mean age: 30.0 years), 60.3% were expecting their second/later birth. LCA identified three preference subgroups: ‘Effectiveness’ (preventive choice mostly driven by increases in effectiveness; 51.4% class membership probability), ‘Season’ (preventive choice mostly driven by improvement in duration of protection during the RSV season; 39.2% class membership probability), and ‘No Preventive’ (frequently chose no-preventive option; 9.4% class membership probability). ‘Effectiveness’ and ‘Season’ preferred maternal vaccine over mAb; mAb was preferred by ‘No Preventive.’ Perceiving RSV as serious for infants, higher health literacy, and lower household income were associated with ‘Effectiveness.’ Perceiving RSV as serious for pregnant people was associated with ‘Season.’ Perceiving RSV to not be serious for pregnant people and not being employed were associated with ‘No Preventive.’ Subgroups of pregnant people vary in preferences for RSV preventives. Most pregnant people preferred a maternal vaccine, although some may be more willing to accept alternative preventive options.