Straw Poll - Other Types of Polls

Other Types of Polls

Straw polls are contrasted with opinion polls, usually conducted by telephone and based on samples of the voting public. Straw polls can also be contrasted with honor-system polls (such as online polls), in which ordinary voting controls are absent. In an ordinary event-based straw poll, controls common to elections are enforced: voting twice is prohibited; polls are not open for inordinately long periods of time; interim results are not publicized before polls close; etc. Honor-system polls may be conducted wholly online, conducted at one location over a period of months, conducted with interim results publicized, or even conducted with explicit permission to vote multiple times.

The meaning of results from the varying poll types is disputed. Opinion polls are generally conducted with statistical selection controls in place and are thus called "scientific", while straw polls and honor-system polls are conducted among self-selected populations and are called "unscientific". However, as predictors of poll results among larger populations (i.e., elections), each method has known flaws.

A margin of error is intrinsic in any subset polling method, and is a mathematical function of the difference in size between the subset and the larger population; sampling error is constant across different poll methods with the same sample sizes. Selection bias, nonresponse bias, or coverage bias occurs when the conditions for subset polling significantly differ from the conditions for the larger poll or election; event-based straw polls, where registration often closely mirrors voter registration, suffer less from nonresponse bias than opinion polls, where inclusion generally means owning a landline phone, being the party that answers the phone, being willing to answer the poll questions, and being a "likely voter" based on pollster criteria. Response bias occurs when respondents do not indicate their true beliefs, such as in bias due to intentional manipulation by respondents, haste, social pressure, or confusion; such biases may be present in any polling situation. Wording of questions may also inject bias, although this is more likely in a telephone setting than in an event-based ballot setting.

By relying on identity information, such as that publicly traceable to telephone numbers or voter registration addresses and that voluntarily provided by respondents such as age and gender, polls can be made more scientific. Straw polls may be improved by asking identity questions, tracing group-based trends, and publishing statistical studies of the data. Opinion polls may be improved by more closely mirroring the larger poll or election anticipated, such as in wording of questions and inclusion procedure. Honor-system polls may be improved by adding ordinary voting controls; for example, online polls may rely on established social-networking and identity providers for verification to minimize multiple voting.