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Related Concept Videos

Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Two-Way ANOVA01:17

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The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
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Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
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Variability: Analysis01:11

Variability: Analysis

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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One-Way ANOVA01:18

One-Way ANOVA

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One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
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Cross-Sectional Research01:50

Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Participant diversity in ACER: 2010-2022.

Heather A Kissel1, Ga Hee Lee1, Sara McFarland1

  • 1Department of Psychological Sciences, Northern Kentucky University, Highland Heights, Kentucky, USA.

Alcohol, Clinical & Experimental Research
|April 23, 2024
PubMed
Summary
This summary is machine-generated.

Alcohol research is improving demographic reporting, including race, sexual orientation, and gender identity. However, international study representation has decreased. Recommendations aim to enhance future alcohol research inclusivity.

Keywords:
content analysisdemographicssocial determinants of health

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Area of Science:

  • Alcohol research
  • Human subjects research
  • Health equity

Background:

  • Addressing historical underrepresentation of minoritized groups in human subjects research.
  • The Research Society on Alcohol (RSA) and Alcohol: Clinical and Experimental Research (ACER) prioritize diversity and inclusion.
  • Enhancing the representativeness and generalizability of alcohol use science.

Purpose of the Study:

  • To assess changes in demographic reporting in alcohol research over time.
  • To evaluate the impact of the RSA's Diversity Committee on participant diversity.
  • To identify trends in the inclusion of diverse samples in alcohol studies.

Main Methods:

  • Content analysis of articles published in ACER from 2010-2022.
  • Screened 3292 abstracts; included 1043 primary human subject studies.
  • Assessed reporting and analysis of demographic variables (race/ethnicity, sexual orientation, gender identity, SES, income, education).

Main Results:

  • Significant increases in reporting for most demographic variables, including race/ethnicity, sexual orientation, and gender identity.
  • Demographic data were increasingly utilized in study analyses.
  • A significant decrease in the representation of research conducted outside the United States.

Conclusions:

  • Recommended reporting standards for ACER to sustain progress in demographic reporting.
  • Facilitating meta-analyses on demographic influences and social determinants of health in alcohol research.
  • Promoting more inclusive and generalizable alcohol research practices.