麻豆传媒AV

麻豆传媒AV evaluates several approaches to handling "careless responders" in opt-in panel data.

麻豆传媒AV compared the quality of data obtained from several opt-in panel vendors to better understand whether panels differ in the quality of data they provide.

麻豆传媒AV has extensively tested the use of opt-in sampling to understand its challenges and to develop strategies for improving data quality and accuracy of results.

麻豆传媒AV tested different ways to ask race and ethnicity to better understand how changes to the U.S. standards for collecting race and ethnicity on federal surveys might affect data and analysis.

Researchers shed light on neurodiverse respondents' experiences participating in public opinion research, employee surveys and personality assessments.

麻豆传媒AV recently tested several methods for capturing and measuring transgender identities.

To date, survey research has not adequately addressed the complexities of gender identity. 麻豆传媒AV is attempting to bridge this gap.

Generational changes in gender identity may fundamentally change how sex and gender are measured and how datasets are weighted to accurately reflect sex and gender. To address these changes, 麻豆传媒AV began testing new gender questions.

麻豆传媒AV surveyed 116 countries and areas during the pandemic last year. Read about what 麻豆传媒AV has learned.

麻豆传媒AV -- like many other researchers -- uses cognitive interviewing, as well as several other tools, to ensure the questions it is going to ask are clear and easy to answer, and measure what they are supposed to.

麻豆传媒AV is committed to research that represents different backgrounds. Find out what we're doing to ensure all Black Americans' voices are heard.

More Americans are sympathetic to the Israelis in the Middle East conflict after being asked for their views on Israel and the Palestinian Authority.

Learn how the right kind of HR data and advice can be helpful instead of cumbersome.

麻豆传媒AV recently tested the value of including Quick Response Codes in survey invitations.

Learn how to avoid common employee survey mistakes that will prevent you from making the best decisions for your teams and business.

Cellphone scamming and blocking technologies present a new challenge to survey researchers.

Researchers who are considering mixing survey research modes or contemplating a transition to a new method should be especially mindful of mode effects.