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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Blinding01:11

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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What is an Experiment?01:12

What is an Experiment?

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Statistical Significance01:37

Statistical Significance

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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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Related Experiment Video

Updated: Mar 15, 2026

Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
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Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health

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Testing the activitystat hypothesis: a randomised controlled trial.

S R Gomersall1,2, C Maher3, C English3

  • 1School of Health Sciences, Alliance for Research in Exercise, Nutrition and Activity, Sansom Institute for Health Research, University of South Australia, Adelaide, Australia. s.gomersall1@uq.edu.au.

BMC Public Health
|September 1, 2016
PubMed
Summary
This summary is machine-generated.

This study found no evidence of an "activitystat" that limits physical activity interventions. Increased exercise led to proportional increases in energy expenditure and activity, without compensatory reductions.

Keywords:
AccelerometryCompensationEnergy expenditurePhysical activity

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Area of Science:

  • Exercise Physiology
  • Human Metabolism
  • Behavioral Science

Background:

  • The 'activitystat' hypothesis suggests biological regulation of energy expenditure may limit exercise intervention effectiveness.
  • This study aimed to empirically test the 'activitystat' hypothesis.

Purpose of the Study:

  • To investigate the effect of a six-week exercise stimulus on energy expenditure and physical activity levels.
  • To determine if an 'activitystat' mechanism exists that compensates for increased physical activity.

Main Methods:

  • Randomized controlled trial with 129 previously inactive adults.
  • Intervention groups: Moderate (150 min/week) and Extensive (300 min/week) exercise.
  • Measured energy expenditure and physical activity via accelerometry and time-use recalls; resting metabolic rate via indirect calorimetry.

Main Results:

  • Significant increases in energy expenditure and physical activity in both Moderate and Extensive groups compared to Controls (p < 0.001).
  • No significant changes in resting metabolic rate were observed (p = 0.78).

Conclusions:

  • Results provide no evidence supporting the existence of an 'activitystat' effect.
  • Exercise interventions of 150-300 min/week resulted in corresponding increases in energy expenditure and physical activity without compensation.