Over the next two decades, American society will become increasingly multiethnic and multilingual (Rodriguez, 1990). The number of children living in poverty will substantially increase, and there will be a significant increase in the number of homes where children speak a primary language other than English.
Students are at greater risk of needing special education services when they are poor or of a minority race or language (Baca & Almanza, 1991); therefore, it is critical that special education researchers address these issues if their results are to apply to the special education population. This digest reviews scientific and methodological problems related to race, ethnicity, and socioeconomic status. Three areas warranting specific attention include:
Defining terms with precision and accuracy.
Examining epistemological considerations as they relate to the study of racial and ethnic groups.
Developing unbiased research methodology and procedures.
Defining Terms with Precision and Accuracy
There are many definitions of race, ethnicity, culture, and socioeconomic status.

Within these definitions, society creates, constructs, and shapes the criteria for determining the category to which individuals belong. It is important for researchers to acknowledge any inherent assumptions or limitations associated with the particular definitions that they have chosen for their studies. Two examples follow.
Race and Ethnicity
The classification scheme developed by the U.S. Bureau of Census is the most commonly used method for identifying racial and ethnic groups in the United States. But, unfortunately, it is not without problems. Enwisle and Astone (1994) summarize the most critical problems as follows:
Race and ethnicity are confounded when respondents fall under more than one category (e.g., Hispanic, Latino, and Puerto Rican).
The amount of information gathered on the ethnicity of a particular group varies among groups (e.g., there is an abundance of information gathered on Pacific Islanders, while little is collected for Haitians).
Individuals may prefer to be acknowledged by categories different from those offered (e.g., Black rather than African-American).
Socioeconomic Status
The term “social class” has been used to group people by such criteria as income, occupation, education, values, and behaviors. However, categories usually include classifications such as lower class, working class, middle class, and upper class (Banks and Banks, 1993). In traditional research studies, socioeconomic status is usually determined by an adult member of the household whose income level has the most influence on the economic status of the family. Unfortunately, this scheme does not reflect the fact that many racial and ethnic families in the United States are diverse, with children residing in two-parent, single-parent, and step-parent families. Thus, the economic status of the family may be influenced by a variety of sources (e.g., breadwinner within the family of residence or biological parent living apart from the child) that are not acknowledged by traditional indicators.
Examining Epistemological Considerations
Presuppositions and biases affect the research process. When considering multicultural issues, two essential epistemological considerations that should be examined, regardless of methodological approach, are presumptions related to use of racial categorizations and inferences made to explain differences in group data.
Race Categorization
The construction of race categories by social scientists has always been problematic. Traditional descriptions of racial groups with distinct phenotypic attributes have been repeatedly linked to presumptions about moral character, personality, interpersonal behavior, and intelligence — most of which are often depicted in a negative way (West, 1993). These presumptions not only undermine the integrity of the research, but fuel stereotypic thinking about diverse cultural groups.
Furthermore, in quantitative research, the use of codification schemes can promote homogeneous descriptions, since such schemes often use the underlying assumption that each individual has a similar racial identity. This can cause the results to show individuals who “look” a certain way and/or who have a certain identity characteristic, are therefore “alike” (Obiakor, 1994). As an alternative, researchers concerned with multicultural issues can explore within-group variability based on quantifiable data.
Explaining Group Differences
In status-related research with racial and ethnic groups, the issues of ethics and human values are extremely important and controversial (Stanfield, 1993). Value-neutral methods of data collection and interpretation are critical to ensuring that research findings promote an accurate, not stereotyped, view of racial and ethnic groups.
In race and ethnicity research, cultural standards of data generalization are typically based upon universal statements reflecting Eurocentric normative and scientific principles. Unfortunately, such an approach often assumes that concepts or standards, such as indicators of achievement, socialization, development, or performance, transcend cultural barriers. But they may, in fact, differ across cultural groups. Furthermore, some indicators that are determined to be “problematic” in one culture may actually have a positive effect on behavior in another culture. Knowledge of such cultural differences can help researchers avoid many of the procedural pitfalls that can result in stereotyping of racial and ethnic groups (Obiakor & Utley, 1997).
Developing Unbiased Research Methodology and Procedures
To develop unbiased procedures, special education researchers must consider three areas: sampling, instrumentation, and measurement.
Sampling. A clear, concrete definition and description of the demographic characteristics of the sample under study is key to enabling researchers to replicate work (Padilla & Lindholm, 1995). At the very least, the racial and ethnic make-up of the study sample should be described, and there should be a process in place to control for the confounding of such variables as location (i.e., urban, rural, or suburban), acculturation, language, and socioeconomic level.
Instrumentation. Issues of instrumentation and measurement as they relate to racial and ethnic groups are central to understanding research conclusions. For example, the use of research instruments such as rating scales and achievement tests that may be appropriate measures for middle-class Anglo children and their families, may not be appropriate for research with other racial and ethnic groups (Hilliard, 1995; Obiakor, 1994; Padilla & Lindholm, 1995).

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