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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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Longitudinal Research02:20

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Sample Proportion and Population Proportion01:20

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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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Statistical Significance01:50

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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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A complete procedure for testing a claim about a population proportion is provided here.
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Friedman Two-way Analysis of Variance by Ranks01:21

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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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From Percentages to Precision: Using Response Rates to Advance Analyses of Procedural Fidelity.

Claire C St Peter1, Olivia B Harvey1, Marisela Aguilar1

  • 1West Virginia University, 53 Campus Drive, Morgantown, WV 26506 USA.

Perspectives on Behavior Science
|March 13, 2025
PubMed
Summary
This summary is machine-generated.

Relying solely on percentages for procedural fidelity data can hide important details. Using response rate alongside percentages offers a more accurate measurement of how well procedures are followed.

Keywords:
FidelityMeasurementPercentageResponse rateTreatment integrity

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Area of Science:

  • Behavior Analysis
  • Measurement in Psychology

Background:

  • Percentage is widely used for reporting procedural fidelity in behavior analysis.
  • Recent studies in the Journal of Applied Behavior Analysis predominantly use percentages for fidelity data.

Purpose of the Study:

  • Critically evaluate the exclusive use of percentage for analyzing procedural fidelity data.
  • Advocate for incorporating response rate as a complementary metric for enhanced precision.

Main Methods:

  • Analysis of existing literature on procedural fidelity reporting.
  • Reanalysis of procedural fidelity data from a public school study.
  • Comparison of data interpretation using percentage versus response rate.

Main Results:

  • Exclusive reliance on percentage can obscure critical nuances in procedural fidelity.
  • Response rate provides a more precise and dimensional understanding of fidelity.

Conclusions:

  • Recommendations for adopting response rate as a standard metric in procedural fidelity analysis.
  • Emphasizing continuous, dimensional measurement approaches in behavior analysis.