Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance. Hypotheses 5. Sleep deprivation makes people take more risks while driving Independent Variable #1:Sleep deprivation Level 1:Sleep Deprived Level 2: Not sleep deprived How would the variable be operationalized? Would it be manipulated within or between subjects? The participants will be given a controlled amount of sleep. Sleep-deprived participants were more likely to be at risk while driving, and not sleep-deprived participants were less likely to be at risk while driving. It will be manipulated between subjects. Independent Variable #2: Sleep Quality+ Level 1:Good sleep Level 2:Bad sleep How would the variable be operationalized? Would it be manipulated within or between subjects? Participants were divided into two groups: those with good sleep and those with bad sleep. It will be manipulated between subjects. Dependent Variable: Risks while driving! How would the variable be operationalized? How would you ensure high construct validity?" We will collect the number of times the participants encountered an emergency while driving. To maintain high Construct Validity, we will divide the participants into 4 groups which are Sleep deprivationtgood sleep, Sleep deprivation+ bad sleep, Not sleep Deprived+ good sleep, Not sleep Deprived+ bad sleep. How would you recruit your sample? To what population would you hope to generalize? I would recruit participants with similar sleep duration and quality. I want the participants to be between the ages of 25 and 30 because age also affects sleep quality. Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. 6 5 4 3 2 1 0 Not Sleep Deprived Risks while Driving Sleep Deprived Good sleep Bad sleep 1 0 Not Sleep Deprived Sleep Deprived Good sleep Bad sleep This chart predicts that sleep quality affects risk while driving. Getting enough good sleep reduces the risk of driving while getting less sleep and noisy sleep increases the risk of driving. Because the brain doesn't get enough rest, it can't make judgments about accidents that happen while driving. Discuss issues of internal and external validity, and how you would find a good balance. For internal validity, we will give each participants a single room to avoid unpredictable conditions. For external validity, the driving process will happened in the same place and all things happen in daily life, I think the experiment with high external validity. 7.Students learn more effectively when they take notes by hand than when they take notes using a laptop Independent Variable #1: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Independent Variable #2: Level 1: Level 2: How would the variable be operationalized? Would it be manipulated within or between subjects? Dependent Variable: How would the variable be operationalized? How would you ensure high construct validity? How would you recruit your sample? To what population would you hope to generalize? Create a table to display the results of your factorial design (be sure to label your conditions appropriately) Describe your predicted interaction and explain why you are predicting it. Discuss issues of internal and external validity, and how you would find a good balance.