Deck 6: Analyzing and Interpreting Quantitative Data
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Deck 6: Analyzing and Interpreting Quantitative Data
1
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:
A)A comparison question about teacher scores
B)A relationship question correlating years of experience and anxiety
C)A descriptive question measuring the anxiety of teachers
D)A range of scores questions assessing the variability of scores
A)A comparison question about teacher scores
B)A relationship question correlating years of experience and anxiety
C)A descriptive question measuring the anxiety of teachers
D)A range of scores questions assessing the variability of scores
C
2
The two areas at the end of a normal curve that indicate low probability values if the null hypothesis is true are called
A)a two-tailed test.
B)the critical region.
C)the area of the true null.
D)the significance level or alpha.
A)a two-tailed test.
B)the critical region.
C)the area of the true null.
D)the significance level or alpha.
B
3
You have just received data on the question below and you plan to score it for quantitative computer analysis.On the line in front of each response category,indicate the score you would assign for that response when you entered the response into a data grid or file for computer data analysis.
__5__ Strongly agree __4__ Agree __3__ Undecided __2__ Disagree __1__ Strongly disagree
4
The standard deviation tells us
A)the skewness of the distribution.
B)the average value of the scores.
C)the dispersion of the scores.
D)the relative standing of a particular score.
A)the skewness of the distribution.
B)the average value of the scores.
C)the dispersion of the scores.
D)the relative standing of a particular score.
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5
When inputting data into a computer program for data analysis,"values" are:
A)the numbers associated with variables you are trying to measure.
B)the response options to variables you are trying to measure.
C)the quality of information for variables you are trying to measure.
D)the identifying number for variables you are trying to measure.
A)the numbers associated with variables you are trying to measure.
B)the response options to variables you are trying to measure.
C)the quality of information for variables you are trying to measure.
D)the identifying number for variables you are trying to measure.
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6
If a researcher sets the alpha at .05 and obtains a p value of .06,this means that a null hypothesis would
A)fail to be rejected.
B)be slightly higher than alpha.
C)be very close to the alpha level.
D)be accepted as different.
A)fail to be rejected.
B)be slightly higher than alpha.
C)be very close to the alpha level.
D)be accepted as different.
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7
Which of the following represents an example of a summed score in quantitative data analysis?
A)A score is calculated for each question on the instrument.
B)A score is calculated for several questions on the instrument.
C)A score is calculated summarizing differences in two scores.
D)A score is based on a summed score for all individuals.
A)A score is calculated for each question on the instrument.
B)A score is calculated for several questions on the instrument.
C)A score is calculated summarizing differences in two scores.
D)A score is based on a summed score for all individuals.
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8
Which of the following factors is most important to consider in selecting an appropriate statistical test for a quantitative study?
A)How many independent variables are in the data
B)Whether the codes suggest it is appropriate
C)How many research questions are in the study
D)Whether the independent variable relates to the question
A)How many independent variables are in the data
B)Whether the codes suggest it is appropriate
C)How many research questions are in the study
D)Whether the independent variable relates to the question
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9
Which of the following is a possible outcome of hypothesis testing?
A)The beta weight of the null
B)The probability of chi
C)The effect size
D)The probability of alpha
A)The beta weight of the null
B)The probability of chi
C)The effect size
D)The probability of alpha
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10
In the parent involvement study (Deslandes & Bertrand,2005),the researchers state a finding in paragraph 27:
A)that the results were statistically significant.
B)that the probability alpha level was set too low.
C)that the authors should have set an exact p value.
D)that the partial results indicated a significant p value of .001.
A)that the results were statistically significant.
B)that the probability alpha level was set too low.
C)that the authors should have set an exact p value.
D)that the partial results indicated a significant p value of .001.
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11
Which of the following is an example of a figure used in quantitative research?
A)A plot of interconnecting themes
B)A joint display
C)A scatterplot
D)A normal curve
A)A plot of interconnecting themes
B)A joint display
C)A scatterplot
D)A normal curve
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12
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?
A)Send the instrument back and ask the person to fill out the question.
B)Delete the individuals survey completely from the database.
C)Assign a value for missing information such as a -999.
D)Re-contact the person and ask them why they did not respond.
A)Send the instrument back and ask the person to fill out the question.
B)Delete the individuals survey completely from the database.
C)Assign a value for missing information such as a -999.
D)Re-contact the person and ask them why they did not respond.
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13
As you examine this statement,you conclude: (place an X in the appropriate column)
a.The null hypothesis was rejected._____ ______
b.The level of significance showed
a probability of rejection set at
5 out of 100 times._____ ______
c.The statistics test used was a t-test._____ ______
d.The magnitude of differences
e.Band members differed
significantly from student
athletes in their attitudes._____ ______
_______________________________________________________________
a.The null hypothesis was rejected._____ ______
b.The level of significance showed
a probability of rejection set at
5 out of 100 times._____ ______
c.The statistics test used was a t-test._____ ______
d.The magnitude of differences
e.Band members differed
significantly from student
athletes in their attitudes._____ ______
_______________________________________________________________
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14
Why it is important to check for effect size in addition to hypothesis testing?
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15
Examine the following statement found in the conclusion to a quantitative research study:
A)summarizing the major results.
B)providing an explanation for the results.
C)sharing why evidence did not support predictions.
D)suggesting future research to strength the study.
A)summarizing the major results.
B)providing an explanation for the results.
C)sharing why evidence did not support predictions.
D)suggesting future research to strength the study.
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16
If the probability value is less than or equal to the significance level,then you
A)accept the null hypothesis.
B)fail to reject the null hypothesis.
C)revise the null hypothesis.
D)reject the null hypothesis.
A)accept the null hypothesis.
B)fail to reject the null hypothesis.
C)revise the null hypothesis.
D)reject the null hypothesis.
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17
From the statements below,select the best guideline to use for selecting a statistical program for your quantitative data analysis.
A)The program is the recommendation of another student.
B)The program has an app available for a mobile device or tablet.
C)The program is produced as an open source software.
D)The program has thorough documentation for procedures.
A)The program is the recommendation of another student.
B)The program has an app available for a mobile device or tablet.
C)The program is produced as an open source software.
D)The program has thorough documentation for procedures.
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18
The following steps are procedures in quantitative data analysis EXCEPT
A)examining the trends in the data.
B)determining effect sizes.
C)scoring the data.
D)analyzing the differences among themes.
A)examining the trends in the data.
B)determining effect sizes.
C)scoring the data.
D)analyzing the differences among themes.
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19
When inspecting data,we examine the database for scores that are
A)outside of the mean.
B)outside of the median.
C)outside of the accepted range.
D)outside of the standard deviation.
A)outside of the mean.
B)outside of the median.
C)outside of the accepted range.
D)outside of the standard deviation.
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20
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
A)clean up the data.
B)compute the mean.
C)answer a research question.
D)develop the codebook.
A)clean up the data.
B)compute the mean.
C)answer a research question.
D)develop the codebook.
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21
Briefly define the z score.
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22
Briefly define the standard deviation.
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23
Briefly define confidence intervals.
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24
Briefly define the meaning of descriptive statistics.
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25
Below are listed the steps in the process of testing a hypothesis in a quantitative study.Place the steps in order from 1 to 6 with 1 as the first step and 6 as the last step.
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26
Briefly define the mean.
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