May 24, 2015 · Question 26 0 out of 5 points When forming the components of experimentation the independent variable is: Answer Selected Answer: Correct Answer: a factor that experimenters manipulate to see if it affects the dependent variable
Aug 25, 2016 · View Test Prep - PSY110WK4Exam1 from PSY 110 at Strayer University, Washington. Question 1 5 out of 5 points When forming the components of experimentation the independent variable is: Selected
multiple manipulations of the independent variable to determine the differential effects of a range of values of the independent variable. The purpose of collecting data in a systematic way and graphing them using single subject research design is to: ... of all of the experimental conditions over the course of the study matches the description ...
The independent variable is caffeine and the dependent variable is the exam scores. In one famous study, participants were asked to issue electric shocks to another person. They didn't know that the person being shocked was an actor, and the "shocks" were fake.
For example, in an experiment about the effect of nutrients on crop growth: The independent variable is the amount of nutrients added to the crop field.
A confounding variable, also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship. A confounding variable is related to both the supposed cause and the supposed effect of the study.
Experimental design means planning a set of procedures to investigate a relationship between variables. To design a controlled experiment, you need: A testable hypothesis. At least one independent variable that can be precisely manipulated. At least one dependent variable that can be precisely measured.
Soil moisture also affects respiration, and moisture can decrease with increasing temperature. Control experimentally: monitor soil moisture and add water to make sure that soil moisture is consistent across all treatment plots. Finally, put these variables together into a diagram.
Reliability and validity are both about how well a method measures something: Reliability refers to the consistency of a measure ( whether the results can be reproduced under the same conditions). Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).
Phone use before sleep does not correlate with the amount of sleep a person gets. Increasing phone use before sleep leads to a decrease in sleep. Temperature and soil respiration. Air temperature does not correlate with soil respiration. Increased air temperature leads to increased soil respiration.