Homework: Relationships and Regression

Note: Provided are are all the tables/attachments/figures that are mentioned from the assignment. You do not have to use SPSS.

Research consistently shows that children are more likely to have behavior problems if they have less support available in their family. A local developmental psychologist observes seven children with their parents, rating levels of family support and child behavior problems to examine whether her town's data is consistent with the literature. The data appear below. (Note that this is a very small sample size for demonstration purposes. If you were conducting an actual study, you would want a larger sample size. Also note, it is standard practice to consider ratings unless otherwise identified). Enter it into SPSS to complete the first set of problems (#1-7).
Ratings of Family Support	Ratings of Child Behavior Problems
8	4
5	4
2	7
9	3
7	4
5	7
3	5

Question #1

What is the research hypothesis (not the null hypothesis - the research hypothesis). State whether it is one or two-tailed, and justify your answer.

Question #2

Calculate the appropriate statistical test using SPSS. Copy / paste all relevant output in the space provided, making sure it is all viewable.

Question #3 - 4 pts content / 2 pts format

Make a Results section for your findings. Include the type of statistical test and results of the test (clearly stating whether results are significant or not), confidence interval, and interpret the coefficient of determination.

Question #4

Regardless of the results above, use SPSS to calculate a regression analysis to predict ratings of child behavior problems given one's family support. (Note this statement tells you what the predictor, or independent variable should be for your analysis). Copy / paste all SPSS output as images in the space below.

Question #5

Make an appropriate figure for the regression (include the line of best fit). Present it professionally below, numbering it Figure 1 (and remember all other components like a title, etc.).

A researcher uses a driving simulation to measure the reaction time of braking when a dog runs across the street in front of a car. His participants are newly licensed or experienced drivers, and all of the drivers are talking on a cell phone during the simulation (N = 16). He finds the following data, which represents seconds to brake after a dog first appears in the street in front of a driver. Enter the data below as numerical data into SPSS to complete problems #8-12.

Type of Driver	Braking Time
Newly Licensed Drivers	1
Newly Licensed Drivers	1.5
Newly Licensed Drivers	2.33
Newly Licensed Drivers	2.33
Newly Licensed Drivers	4.5
Newly Licensed Drivers	5
Newly Licensed Drivers	15
Newly Licensed Drivers	25
Experienced Drivers	.33
Experienced Drivers	.5
Experienced Drivers	.75
Experienced Drivers	1
Experienced Drivers	3
Experienced Drivers	3.5
Experienced Drivers	10
Experienced Drivers	12

Question #8

What would be the most appropriate statistical test to examine whether there is a relationship between type of driver and braking time? Support your answer using terms and concepts from class.

Question #9

Calculate the appropriate statistical test using SPSS. Copy / paste all relevant output in the space provided, making sure it is all viewable.

Question #10

Formulate a Results section for your findings. Include the type of statistical test and results of the test (clearly stating whether results are significant or not), confidence interval, and interpret the coefficient of determination.

Question #12

Recall what makes a study causal (i.e. systematic manipulation of an independent variable, random assignment to levels of the IV...)

How could you examine breaking time in a causal / experimental research study (note it does not need to include the type of driver variable - just use the braking time variable from this scenario plus another variable you could envision manipulating that may affect braking time).

Clearly state your two variables, how you'd operationally define them, which one you'd manipulate, and how you'd manipulate it.