Week 5: Activity 13: Quiz 4

A psychologist wanted to examine the development of vocabulary skills for a group of 3-year-old children when they turn 4 and then again at age 5. What is this an example of?

• One-way within-subjects design

• One-way between-subjects design

• Two-way between-subjects design

• None of the above

A researcher was interested in studying student motivation in elementary school and the way it impacts final school average. The researcher also believed that enthusiasm for school was also related to final school average. At the end of the school year, a random sample of 20 students from fourth through sixth grade was selected, and measures were taken for all variables. The average scores were compared for each group. What is this an example of?

• Two-way between-subjects design

• One-way between-subjects design

• One-way within-subjects design

• None of the above

A researcher was interested in studying student motivation in elementary school. A sample of 20 students at the fourth-grade level were administered an inventory measuring motivation. Measures were taken at the beginning of the school year, at the midpoint, and again at the end of the school year. What design did this researcher use?

• One-way within-subjects design

• One-way between-subjects design

• Two-way between-subjects design

• None of the above

A researcher was interested in studying student motivation in elementary school and the way it impacts final school average across three different elementary levels. A sample of 20 students was randomly selected from fourth grade to sixth grade for motivation levels categorized as high, medium, and low. Measures were taken for motivation and final school average, and the average scores were compared across the groups. What is this an example of?

• One-way between-subjects design

• Two-way between-subjects design

• None of the above

A human factors psychologist studied three different computer keyboard designs. A sample of 45 subjects was given material to type on a particular keyboard, and the number of errors was recorded. Descriptive statistics for the data are presented below, along with the analysis of variance (ANOVA) summary table and post hoc results. At the .05 level of significance, what is the decision (reject or fail to reject) and conclusion in the context of this scenario?

• Reject the null hypothesis. There is sufficient evidence to indicate a difference in the average errors across the three different keyboard types.

• Reject the null hypothesis because p < alpha.

• Reject the null hypothesis. There is insufficient evidence to indicate a difference in the average errors across the three different keyboard types.

• Fail to reject the null hypothesis. There is insufficient evidence to indicate a difference in the average errors across the three different keyboard types.

A human factors psychologist studied three different computer keyboard designs. A sample of 45 subjects was given material to type on a particular keyboard, and the number of errors was recorded. Descriptive statistics for the data are presented below, along with the analysis of variance (ANOVA) summary table and post hoc results.

True or False: Approximately 60% of the variability in keyboard type can be explained by the errors made.

• True

• False

A human factors psychologist studied three different computer keyboard designs. A sample of 45 subjects was given material to type on a particular keyboard, and the number of errors was recorded. Descriptive statistics for the data are presented below, along with the analysis of variance (ANOVA) summary table and post hoc results. Based on the statistical results at the .05 level of significance, what is true?

• Participants using keyboard A did not have statistically less errors than keyboard B but did for keyboard C.

• Participants using keyboard B had statistically less errors than keyboard C.

• Participants using keyboard A had statistically less errors than keyboard B.

A research psychologist who lived in the south believed that on very hot summer days, it is difficult to think clearly. The6y have heard comments such as, “It’s not the heat, it’s the humidity”. To evaluate this claim scientifically, they designed a study that involved varying the temperature and humidity level. The heat varied from 70 degrees to 80 degrees to 90 degrees. The humidity varied from low to high.  A measure of thinking or working proficiency, as measured by performance on a problem-solving task, were observed for n = 15 subjects in each of these conditions. The measure was scored from 0 to 100, where a higher score indicated better performance. The following matrix summarizes the statistics for each of the levels. Which of the following null and alternative hypotheses describe whether there are any differences in thinking or working proficiency for the humidity main effect?

• Ho: μlow = μhigh H1: μlow ≠ μhigh

• Ho: µ70 = µ80 = µ90 H1: µ70 ≠ µ80 ≠ µ90

   

•  

  Ho: µTxH = 0 H1: µTxH≠ 0

   

• None of these

A research psychologist who lived in the south believed that on very hot summer days, it is difficult to think clearly. The6y have heard comments such as, “It’s not the heat, it’s the humidity”. To evaluate this claim scientifically, they designed a study that involved varying the temperature and humidity level. The heat varied from 70 degrees to 80 degrees to 90 degrees. The humidity varied from low to high.  A measure of thinking or working proficiency, as measured by performance on a problem-solving task, were observed for n = 15 subjects in each of these conditions. The measure was scored from 0 to 100, where a higher score indicated better performance. The following matrix summarizes the statistics for each of the levels: The following null and alternative hypotheses describe whether there are any differences in thinking or working proficiency for the humidity main effect.

• Ho: μ70 = μ80 = μ90 H1: μ70 ≠ μ80 ≠ μ90

• Ho: μT×H = 0 H1: μT×H ≠ 0

• None of the above

• Ho: µlow = µhigh H1: µlow ≠ µhigh

   

A research psychologist who lived in the south believed that on very hot summer days, it is difficult to think clearly. The6y have heard comments such as, “It’s not the heat, it’s the humidity”. To evaluate this claim scientifically, they designed a study that involved varying the temperature and humidity level. The heat varied from 70 degrees to 80 degrees to 90 degrees. The humidity varied from low to high.  A measure of thinking or working proficiency, as measured by performance on a problem-solving task, were observed for n = 15 subjects in each of these conditions. The measure was scored from 0 to 100, where a higher score indicated better performance. The following matrix summarizes the statistics for each of the levels:. Which of the following null and alternative hypotheses describe whether there are any differences in thinking or working proficiency for the interaction effect?

• Ho: μT70 = μT80 = μT90 H1: μT70 ≠ μT80 ≠ μT90

• Ho: μT70 = μT80 = μT90 H1: μT70 ≠ μT80 ≠ μT90

• Ho: μlow = μhigh H1: μlow ≠ μhigh

• Ho: μTxH = 0 H1: μTxH ≠ 0

• None of the above