相关实验视频

Updated: Jul 15, 2025

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
05:40

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans

Published on: April 28, 2022

3.1K

使用在线小组来跨越两个国家样本中的酒精使用的替代措施

Anna M Pederson, Scott C Zimmerman, Jacqueline M Torres

    medRxiv : the preprint server for health sciences
    |September 25, 2023
    PubMed
    概括

    在调查中不一致的酒精使用问题阻碍了对健康影响的估计. 这项研究开发了一种方法来纠正测量错误,从而从酒精消费数据中进行更准确的健康影响评估.

    更多相关视频

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community08:53

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

    Published on: May 31, 2019

    5.2K
    Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis08:45

    Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

    Published on: November 8, 2024

    621

    相关概念视频

    Cross-Sectional Research01:50

    Cross-Sectional Research

    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...
    11.4K
    Hypothesis Test for Test of Independence01:16

    Hypothesis Test for Test of Independence

    The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
    H0: The two variables (factors)...
    3.6K
    One-Way ANOVA: Equal Sample Sizes01:15

    One-Way ANOVA: Equal Sample Sizes

    One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
    Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
    3.3K
    Surveys02:16

    Surveys

    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.
    14.8K
    Crossover Experiments01:16

    Crossover Experiments

    Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
    Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
    2.9K
    Introduction to Test of Independence01:21

    Introduction to Test of Independence

    In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
    The test statistic for a test of independence is similar to that of a goodness-of-fit test:
    2.3K