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A factorial design indicates that the experiment incorporates exactly two independent variables, each with three levels.
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Research Methods in Psychology - 4th American Edition @ KPU
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In an experiment investigating a psychological treatment, a researcher includes three independent variables: type of psychotherapy (cognitive vs. behavioral), duration of psychotherapy (two weeks vs. two months), and sex of the psychotherapist (female vs. male). How many unique experimental conditions are generated in this 2 x 2 x 2 factorial design?
A researcher is conducting a study on psychotherapy using a 2 x 2 x 2 factorial design. The experiment explores three factors: the type of therapy (Cognitive vs. Behavioral), the duration of the treatment (2 weeks vs. 2 months), and the sex of the therapist (Female vs. Male). Match each component of this specific study to its correct role in the experimental design.
In a $2 imes 2 imes 2$$ factorial design investigating therapy type (Cognitive vs. Behavioral), treatment duration (2 weeks vs. 2 months), and therapist sex (Female vs. Male), a researcher can isolate the specific influence of therapy type by comparing the results of the 'Cognitive, 2 weeks, Female' condition directly against the 'Behavioral, 2 months, Male' condition.
A research team is evaluating different experimental designs to investigate psychological treatments. Rank the following design configurations based on their analytical capacity to detect higher-order interactions, from the design that can detect a three-way interaction to the design that cannot detect any interaction between independent variables.
A research team is designing an experiment to study workplace productivity based on three binary factors: Office Layout (Open vs. Closed), Noise Level (Low vs. High), and Reward System (Individual vs. Team). Arrange the steps in the correct logical sequence to create the full $2 imes 2 imes 2$$ factorial design structure for this study.
A factorial design indicates that the experiment incorporates exactly two independent variables, each with three levels.
A researcher is designing a psychological study using a factorial design. Which of the following best describes the structure of this experiment?
A researcher is conducting a study to examine how three independent variables—feedback type (positive vs. negative), feedback delivery (verbal vs. written), and task difficulty (easy vs. hard)—interact to affect student motivation. If every possible combination of these levels is tested in a factorial design, there will be a total of _____ unique experimental conditions.
A researcher begins with the psychotherapy study structured as a factorial design (therapy type: cognitive vs. behavioral; duration: two weeks vs. two months; therapist sex: female vs. male), yielding eight experimental conditions. For each structural modification listed below, match it to the resulting factorial notation and the correct total number of conditions.
A graduate student proposes replacing a planned factorial experiment on psychotherapy with three separate one-factor experiments — one for therapy type, one for duration, and one for therapist sex — arguing the approach is simpler. A methodological advisor correctly judges this substitution inadequate because running three isolated experiments cannot reveal _____, information that only the factorial design provides.
Based on the provided example of a psychological treatment study, recall and state the three independent variables investigated, the specific levels of each variable, and the total number of unique experimental conditions created by this factorial design.
Explain why this design is represented as a factorial design and explain how the interaction between these multiple independent variables could provide deeper insights into psychotherapy outcomes than studying each variable individually.
Suppose a researcher replicates the psychotherapy study but decides to expand it by adding a third level to the type of psychotherapy variable (adding psychodynamic therapy to cognitive and behavioral). Apply the principles of factorial design notation to state the new design's notation and calculate the new total number of unique experimental conditions.