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Related Concept Videos

Surveys02:16

Surveys

16.5K
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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Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

6.5K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
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Group Design02:01

Group Design

10.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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Related Experiment Video

Updated: Dec 21, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

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Multimediation Method With Balanced Repeated Replications For Analysis Of Complex Surveys.

Yujiao Mai1, Trung Ha1, Julia N Soulakova1

  • 1Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32827.

Structural Equation Modeling : a Multidisciplinary Journal
|May 21, 2020
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Summary

This study introduces a new statistical method for analyzing mediation effects in complex survey data. The approach enhances the reliability of findings regarding smoking restrictions and nicotine dependence.

Keywords:
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Area of Science:

  • Biostatistics
  • Epidemiology
  • Psychometrics

Background:

  • Cross-sectional studies with complex sampling designs present analytical challenges.
  • Accurate mediation analysis is crucial for understanding complex relationships between variables.

Purpose of the Study:

  • To propose and illustrate a robust statistical method for mediation analysis in complex cross-sectional studies.
  • To assess the mediating role of attitudes toward smoking bans in the relationship between workplace smoking restrictions and nicotine dependence.

Main Methods:

  • A novel R+4 step method is presented, utilizing structural equation modeling and balanced repeated replications.
  • Replicate weights are employed for robust estimation of mediation effects.
  • Generalized Sobel's tests and multiplicity-adjusted p-values are used for statistical inference.

Main Results:

  • The proposed method was successfully applied to examine mediation effects in a sample of male daily smokers.
  • Attitudes toward smoking bans were investigated as mediators between workplace smoking restrictions and nicotine dependence.

Conclusions:

  • The developed method provides a reliable framework for mediation analysis in complex survey data.
  • The findings contribute to understanding the psychological pathways linking smoking policies to nicotine dependence.