Year 8 Test - Variables Experimental Design

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  • 1/10 Questions

    What is the group that receives experimental condition called... 

    • Control group
    • Independent group
    • Experimental group
    • Participant group
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About This Quiz

Are you in your year eight (as in England, Australia, Wales, New Zealand, and Northern Ireland) or Seventh grade (as in the United States and Canada)? Take this assessment test to assess your knowledge of variables experimental design.

Year 8 Test - Variables Experimental Design - Quiz

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  • 2. 
    Which of these terms is not related to counterbalancing? - ProProfs

    Which of these terms is not related to counterbalancing?

    • Sequencing effects

    • Order effect

    • Carryover effect

    • Matching

    Correct Answer
    A. Matching
    Explanation
    Matching is not related to counterbalancing because it refers to the process of selecting participants or groups in a way that ensures they are similar on certain characteristics. Counterbalancing, on the other hand, is a technique used in experimental design to control for the potential effects of order or sequencing of treatments. It involves systematically varying the order in which different conditions or treatments are presented to participants. Therefore, matching is not directly related to counterbalancing.

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  • 3. 
    The goal in an experimental research study is to isolate and identify the effect produced by... - ProProfs

    The goal in an experimental research study is to isolate and identify the effect produced by...

    • Extraneous variable

    • Independent variable

    • Confounding variable

    • Dependent variable

    Correct Answer
    A. Independent variable
    Explanation
    In an experimental research study, the goal is to isolate and identify the effect produced by the independent variable. The independent variable is the variable that is manipulated or changed by the researcher in order to observe its effect on the dependent variable. By controlling and manipulating the independent variable, researchers can determine its impact on the outcome or behavior being studied.

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  • 4. 
    Which of the following approaches should be used if you can't fix the variables? - ProProfs

    Which of the following approaches should be used if you can't fix the variables?

    • Randomize it

    • Non stratify it

    • Generalize it

    • None of the mentioned

    Correct Answer
    A. Randomize it
    Explanation
    If you can't fix the variables, the best approach would be to randomize them. This means assigning values to the variables in a random manner, allowing for variability and reducing bias in the data. Randomization helps to ensure that the variables are not systematically biased or influenced by external factors, leading to more accurate and unbiased results. Non-stratifying or generalizing the variables may not be appropriate in this case as it does not address the issue of fixing the variables. Therefore, the correct approach is to randomize the variables.

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  • 5. 
    Which of these is not a way to manipulate independent variables? - ProProfs

    Which of these is not a way to manipulate independent variables?

    • Presence technique

    • Amount technique

    • Type technique

    • Random technique

    Correct Answer
    A. Random technique
    Explanation
    The random technique is not a way to manipulate independent variables. The presence technique involves manipulating the presence or absence of an independent variable. The amount technique involves manipulating the quantity or intensity of the independent variable. The type technique involves manipulating different types or categories of the independent variable. However, the random technique does not involve manipulating the independent variable, but rather refers to the random assignment of participants to different conditions or groups in order to control for confounding variables.

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  • 6. 
    Which of these is the combination of two or more independent variables in a factorial design? - ProProfs

    Which of these is the combination of two or more independent variables in a factorial design?

    • Cells

    • Columns

    • Rows

    • Cols

    Correct Answer
    A. Columns
    Explanation
    In a factorial design, independent variables are manipulated to examine their effects on the dependent variable. The combination of two or more independent variables is represented by columns in the design. Each column represents a unique combination of the independent variables, allowing researchers to study the main effects and interactions between variables. Therefore, the correct answer is "Columns."

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  • 7. 
    Which of the following is chosen to control such things as order and carryover effects? - ProProfs

    Which of the following is chosen to control such things as order and carryover effects?

    • Counterbalancing

    • Dataram

    • Proactive effects,

    • Experimental data

    Correct Answer
    A. Counterbalancing
    Explanation
    Counterbalancing is chosen to control order and carryover effects in experiments. Order effects refer to the potential influence of the order in which conditions are presented on participants' responses. Carryover effects occur when the effects of one condition persist and influence subsequent conditions. Counterbalancing involves systematically varying the order of conditions across participants to minimize these effects. By counterbalancing, researchers can ensure that any observed effects are not due to the order in which conditions were presented, but rather to the independent variables being manipulated.

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  • 8. 
    Which of these is usually described as data fishing? - ProProfs

    Which of these is usually described as data fishing?

    • Data booting

    • Data bagging

    • Data merging

    • None of the above

    Correct Answer
    A. None of the above
    Explanation
    Data fishing refers to the practice of searching for or collecting data in an unstructured or random manner, often with the intention of finding useful or valuable information. In this context, none of the options provided (data booting, data bagging, data merging) accurately describe this practice. Therefore, the correct answer is "None of the above."

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  • 9. 
    Which data mining technique is used to uncover patterns in data? - ProProfs

    Which data mining technique is used to uncover patterns in data?

    • Data dredging

    • Data booting

    • Data bagging

    • Data merging

    Correct Answer
    A. Data dredging
    Explanation
    Data dredging is a data mining technique used to uncover patterns in data. It involves analyzing large volumes of data to identify relationships, correlations, and trends that may not have been initially hypothesized. This technique is often used in exploratory data analysis and can help researchers discover new insights and generate hypotheses for further investigation. Data dredging is particularly useful when dealing with large and complex datasets, as it allows for a comprehensive examination of the data to uncover hidden patterns and relationships.

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  • 10. 
    Which of these is the influence of a single independent variable? - ProProfs

    Which of these is the influence of a single independent variable?

    • Proactive effect

    • Interaction effect

    • Main effect

    • Reactive effect

    Correct Answer
    A. Reactive effect
    Explanation
    A reactive effect refers to the influence of a single independent variable on the dependent variable. It occurs when the independent variable causes a change in the dependent variable, indicating a direct relationship between the two variables. This effect is specific to the independent variable being studied and does not involve any interactions or proactive effects from other variables.

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  • Current Version
  • Mar 21, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Feb 24, 2018
    Quiz Created by
    Cripstwick
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