Question 1

From the statements below,select the best guideline to use for selecting a statistical program for your quantitative data analysis.

Accepted Answer

Thorough documentation of procedures is important in selecting a statistical program for data analysis as it ensures that the user can effectively use the program and understand the results produced.

Question 2

Why it is important to check for effect size in addition to hypothesis testing?

Accepted Answer

Because effect size provides a means for identifying the practical strength or magnitude of differences or the relationship

Question 3

Which of the following is a way to avoid the problem of multiple comparisons?

Accepted Answer

Specifying hypotheses before analysis and testing is the best way to avoid the problem of multiple comparisons. This approach helps to control Type I error rates and reduces the likelihood of chance findings. Limiting the number of independent or predictor variables, using a probability sampling approach, and estimating confidence intervals when testing can all be helpful strategies in statistical analysis, but they do not directly address the issue of multiple comparisons.

Question 4

You are reading a research report summarizing the findings for a study of first-year teacher anxiety in the classroom.You read the following results: "The average score for teachers on all items on the anxiety instrument was 65.76 with a standard deviation of 5.6.The scores varied from a low of 45 to a high of 75 on the instrument."
What type of research question would likely result in this type of statement?

Accepted Answer

The statement is describing the results of a descriptive study that measured the anxiety of first-year teachers in the classroom using an anxiety instrument. The statement provides information on the average score and standard deviation of the responses, as well as the range of scores observed. Therefore, the research question would likely be focused on describing the level of anxiety experienced by first-year teachers, rather than comparing scores or exploring a relationship with another variable.

Question 5

The standard deviation tells us

Accepted Answer

The standard deviation measures the dispersion or spread of the scores in a distribution. It tells us how far the individual scores are from the mean of the distribution. It does not tell us about the skewness of the distribution, the average value of the scores, or the relative standing of a particular score.

Question 6

Briefly define the z score.

Accepted Answer

The answer of Briefly define the z score....

Question 7

An individual who has completed your research survey instrument has not responded to question 10 and has chosen to leave it blank.For purposes of quantitative data analysis,how would you respond to this issue?

Accepted Answer

Assigning -999 or some other indicator for missing data is a common practice in quantitative data analysis. This allows the researcher to still include the rest of the individual's responses in the analysis while indicating that there was missing data for that particular question. Simply deleting the individual's survey or asking them to fill out the question retroactively may bias the results and is not usually recommended. Re-contacting the person may provide insight, but it can also be time-consuming and may not be feasible depending on the research design.

Question 8

Which of the following is an example of a figure used in quantitative research?

Accepted Answer

A scatterplot is a common figure used in quantitative research to display the relationship between two variables. A plot of interconnecting themes and a joint display may be used in qualitative or mixed methods research, while a normal curve is a theoretical distribution used in statistical analysis but not typically displayed as a figure in research reports.

Question 9

When inspecting data,we examine the database for scores that are

Accepted Answer

Scores that are outside of the accepted range are typically what is looked for during data inspection to identify outliers or errors in the dataset.

Question 10

A quantitative researcher uses a data analysis computer program to sort the values of each variable into ascending order.The intent of this procedure is typically to

Accepted Answer

Sorting the values of each variable into ascending order helps to identify any possible errors or outliers in the data. This enables the researcher to clean up the data by removing any incorrect or inconsistent data points. Therefore, the best choice would be A.

Question 11

Examine the following statement found in the conclusion to a quantitative research study: "One reason why the results were insignificant may be due to the small size of the sample and the use of a convenience,rather than a random,probability sample."
This statement indicates that the researcher is select the best response)

Accepted Answer

The statement is providing an explanation for the insignificant results and suggests that the small sample size and use of a convenience sample may have been factors that contributed to this outcome.

Question 12

If the probability value is less than or equal to the significance level,then you

Accepted Answer

When the probability value is less than or equal to the significance level, it indicates that the observed data are sufficiently inconsistent with the null hypothesis, leading to the decision to reject the null hypothesis.

Question 13

If a researcher sets the alpha at .05 and obtains a p value of .06,this means that a null hypothesis would

Accepted Answer

The alpha level (.05) represents the accepted level of risk of rejecting a null hypothesis when it is actually true. If the obtained p-value is greater than the alpha level (in this case, .06 > .05), then we would fail to reject the null hypothesis.

Question 14

Which of the following is a possible outcome of hypothesis testing?

Accepted Answer

The probability of alpha is a possible outcome of hypothesis testing. It represents the probability of making a Type I error, which is rejecting a true null hypothesis. The other choices (beta weight of the null, probability of chi, and effect size) are not outcomes of hypothesis testing, but rather statistical concepts used in hypothesis testing.

Question 15

The two areas at the end of a normal curve that indicate low probability values if the null hypothesis is true are called

Accepted Answer

The critical region is the area at the tails of the distribution where the null hypothesis would be rejected if the test statistic falls within those regions. These regions are typically determined by the significance level or alpha, which is often set at 0.05 for hypothesis testing. Therefore, the two areas at the end of a normal curve that indicate low probability values if the null hypothesis is true are referred to as the critical region.

Question 16

Which of the following factors is most important to consider in selecting an appropriate statistical test for a quantitative study?

Accepted Answer

The number of independent variables in the data is crucial because it determines the complexity of the analysis and the type of statistical test that should be used.

Question 17

Briefly define the mean.

Accepted Answer

The answer of Briefly define the mean....

Question 18

Which of the following represents an example of a summed score in quantitative data analysis?

Accepted Answer

A summed score in quantitative data analysis is calculated by adding up the scores on several questions on the instrument. Option A represents individual scores for each question, whereas option C represents a score calculated using the differences between two scores. Option D represents a total score for all individuals, rather than a summation of scores for a specific measure.

Question 19

When inputting data into a computer program for data analysis,"values" are:

Accepted Answer

The answer of When inputting data into a computer program...

Question 20

In the parent involvement study Deslandes & Bertrand,2005),the researchers state a finding in paragraph 27: "Parents' perceptions of students' invitations in the social domain was the most powerful predictor;it accounted for an additional 28% of the variance beta = .35,p < .001)."
From looking at the p value you would conclude

Accepted Answer

A p value less than .05 (typically denoted as p < .05) indicates that the results are statistically significant, meaning that the likelihood of obtaining the results by chance alone is less than 5%. In this case, the p value is even lower (p < .001), indicating an even stronger level of statistical significance. Therefore, choice A is the best answer.

Quiz 6: Analyzing and Interpreting Quantitative Data