Social Problems 

About: Social Problems is an academic journal published by Oxford University Press. The journal publishes majorly in the area(s): Social movement & Population. It has an ISSN identifier of 0037-7791. Over the lifetime, 2713 publications have been published receiving 166639 citations.

Respondent-driven sampling : A new approach to the study of hidden populations

Abstract: A population is “hidden” when no sampling frame exists and public acknowledgment of membership in the population is potentially threatening. Accessing such populations is difficult because standard probability sampling methods produce low response rates and responses that lack candor. Existing procedures for sampling these populations, including snowball and other chain-referral samples, the key-informant approach, and targeted sampling, introduce well-documented biases into their samples. This paper introduces a new variant of chain-referral sampling, respondent-driven sampling, that employs a dual system of structured incentives to overcome some of the deficiencies of such samples. A theoretic analysis, drawing on both Markov-chain theory and the theory of biased networks, shows that this procedure can reduce the biases generally associated with chain-referral methods. The analysis includes a proof showing that even though sampling begins with an arbitrarily chosen set of initial subjects, as do most chain-referral samples, the composition of the ultimate sample is wholly independent of those initial subjects. The analysis also includes a theoretic specification of the conditions under which the procedure yields unbiased samples. Empirical results, based on surveys of 277 active drug injectors in Connecticut, support these conclusions. Finally, the conclusion discusses how respondent- driven sampling can improve both network sampling and ethnographic 44 investigation.

Learning from the Outsider Within: The Sociological Significance of Black Feminist Thought

Abstract: Black women have long occupied marginal positions in academic settings. I argue that many Black female intellectuals have made creative use of their marginality—their “outsider within” status–to produce Black feminist thought that reflects a special standpoint on self, family, and society. I describe and explore the sociological significance of three characteristic themes in such thought: (1) Black women's self-definition and self-valuation; (2) the interlocking nature of oppression; and (3) the importance of Afro-American women's culture. After considering how Black women might draw upon these key themes as outsiders within to generate a distinctive standpoint on existing sociological paradigms, I conclude by suggesting that other sociologists would also benefit by placing greater trust in the creative potential of their own personal and cultural biographies.

Respondent-Driven Sampling II: Deriving Valid Population Estimates from Chain-Referral Samples of Hidden Populations

Abstract: Researchers studying hidden populations–including injection drug users, men who have sex with men, and the homeless–find that standard probability sampling methods are either inapplicable or prohibitively costly because their subjects lack a sampling frame, have privacy concerns, and constitute a small part of the general population. Therefore, researchers generally employ non-probability methods, including location sampling methods such as targeted sampling, and chain-referral methods such as snowball and respondent-driven sampling. Though nonprobability methods succeed in accessing the hidden populations, they have been insufficient for statistical inference. This paper extends the respondent-driven sampling method to show that when biases associated with chain-referral methods are analyzed in sufficient detail, a statistical theory of the sampling process can be constructed, based on which the sampling process can be redesigned to permit the derivation of indicators that are not biased and have known levels of precision. The results are based on a study of 190 injection drug users in a small Connecticut city.