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Related Concept Videos

Surveys02:16

Surveys

16.1K
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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Ratio Level of Measurement00:54

Ratio Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
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Sources of Self-Esteem III: Social Comparison01:27

Sources of Self-Esteem III: Social Comparison

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Social comparison plays a fundamental role in the evaluation of personal success and self-worth. Rather than assessing our achievements in isolation, we interpret their significance relative to personal goals and critically in comparison to the performance of others. A grade of B in a mathematics exam might elicit pride if one's expectation was a C, yet result in disappointment if an A was anticipated or if peers achieved superior results. These comparative evaluations illustrate how both...
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One-Way ANOVA: Equal Sample Sizes01:15

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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...
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Related Experiment Video

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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
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Harmonizing Ratings From Different School Environment Assessment Methods: A Simplified Approach.

Xue Zhao1, Rebecca E Lee2, Tracey A Ledoux3

  • 1Department of Health and Human Performance, University of Houston, 3875 Holman Street GAR 104, 77204-6015, Houston, TX, USA.

The Journal of School Health
|November 19, 2021
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Summary
This summary is machine-generated.

This study presents a new method for harmonizing school physical activity (PA) and nutrition data. The approach allows for consistent compliance ratings across diverse data collection tools, aiding obesity prevention research.

Keywords:
environmental healthevaluationhealth policy

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Area of Science:

  • Public Health
  • Nutrition Science
  • Childhood Obesity Research

Background:

  • Data harmonization is crucial for analyzing school physical activity (PA) and nutrition environments.
  • Existing data collection tools vary across different research projects, hindering integrated analysis.
  • The Childhood Obesity Research Demonstration (CORD) project faced challenges combining data from distinct initiatives.

Purpose of the Study:

  • To develop and describe a method for harmonizing data collected using different tools.
  • To compute a standardized rating of compliance with national recommendations for school PA and nutrition environments.

Main Methods:

  • Reviewed questionnaire items from 84 elementary schools across three CORD projects.
  • Evaluated and retained items assessing national recommendations.
  • Constructed new items to indicate compliance or noncompliance with recommendations.

Main Results:

  • Developed 10 items covering 11 of 20 national recommendations.
  • Identified variability in compliance scores among communities and schools.
  • The created scores effectively captured compliance differences at multiple levels.

Conclusions:

  • The developed method successfully harmonizes diverse data for compliance assessment.
  • This approach facilitates integrated data analysis, systematic reviews, and future research.
  • The method is valuable for studies needing to reconcile data from disparate collection tools.