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AP Psychology Help » History and Research » Research and Testing » Interpreting Results
Example Question #111 : Research And Testing
What kind of statistical test would be used to determine ifthere is a linear relationship between two variables?
Possible Answers:
Pearson correlation
ANOVA
Chi-square
T-test
Average
Correct answer:
Pearson correlation
Explanation:
A Pearson correlation between two variables indicates that as one variable increases, another variable either increases or decreases bysome amount in a linear manner.
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Example Question #116 : Research And Testing
A study finds a strong negative correlation between the amount of chocolate a child consumes and the number of absences the child has from school. Which of the following values could express that correlation?
Possible Answers:
Correct answer:
Explanation:
Correlations range between and
, with
signifying the strongest possible negative correlation between two variables,
signifying the strongest possible positive correlation, and
signifying the complete absence of any correlation between two variables.
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Example Question #1 : Interpreting Results
What is an illusory correlation?
Possible Answers:
A perfect correlation between two variables
When one variable negatively predicts a second variable
The perception of a relationship where none exists
An illusion of a correlation (often called sans-stats)
A type of Pearson product moment correlation commonly used in the field of social psychology
Correct answer:
The perception of a relationship where none exists
Explanation:
An illusory correlation occurs when someone thinks that two variables are related, but they are actually not (they have a correlation of 0).
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Example Question #111 : Research And Testing
Which of these represents the strongest correlation coefficient?
Possible Answers:
Correct answer:
Explanation:
Correlation coefficients range from -1 to 1, with the strongest correlations being closer to -1 or 1. A correlation of 0 indicates no relationship between two variables. Negative correlations can be as strong or stronger than positive correlations; the most important factor is the magnitude of the correlation.
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Example Question #111 : Research And Testing
Which term refers to the middle termin a distribution of data?
Possible Answers:
The mode
The range
The median
The standard deviation
The mean
Correct answer:
The median
Explanation:
The median isthe middle number in a data set. For example, the median of {3, 7, 4, 5, 8} is 5. The terms must first be placed in increasing order: {3, 4, 5, 7, 8}. From here, it becomes evident that 5 is the middle term, or median.
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Example Question #120 : Research And Testing
Which of the following is an appropriate definition for statistics?
Possible Answers:
The negative or positive correlational relationship between different percentages
Numerical data that shows the cause of a certain phenomenon
An analysis of numerical data
A subjective interpretation of numerical data
None of these
Correct answer:
An analysis of numerical data
Explanation:
Statistics play a big role in much of the research in the field of psychology. In studying groups of people and individuals, their behaviors, reactions, etc. a researcher will have lots of numerical data on their hands. Statistics is theanalysis of this numerical data.
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Example Question #121 : Research And Testing
Carol did a study examining the link between male students' test scores and their alcohol consumption. Other researchers replicated her study in a similar setting and got back similar results, but argued that her study answers a different question than it was designed to answer.
Carol's study is__________.
Possible Answers:
Reliable, but not valid
Valid, but not reliable
Reliable and valid
None of the other answers is correct
Neither valid nor reliable
Correct answer:
Reliable, but not valid
Explanation:
A study's validity is its ability to scientifically measure the concepts it was designed to measure. A study'sreliabilityis its ability to yield similar results when replicated in a similar setting.
Because Carol's study could be replicated but does not answer the question it was designed to answer her study is reliable, but not valid.
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Example Question #122 : Research And Testing
In a correlation experiment which number shows the weakest correlation?
Possible Answers:
Correct answer:
Explanation:
The number describing two variables relationship is the correlation coefficient. This could show a positive correlation (+ number) or a negative correlation (- number). The further from 0 the coefficent is the stronger the correlation.
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Example Question #123 : Research And Testing
When measuring central tendency, which of the following choicesis known to be biased dependingon the data set?
Possible Answers:
Mean
Standard deviation
Standard deviation of the mode
Median
Percent error
Correct answer:
Mean
Explanation:
The mean is the average of a data set. On the other hand, the median is considered to be the 50th percentile—that is cutting the entire data set in half and representing the exact middle of the data set. The mean may be skewed depending on the data set. For instance, the median may be 50 but because of a few higher numbers, the mean could be 56. Using the mean as a measure of central tendency may cause the distribution to be a bit lopsided. Percent error is a statistical measure of the marginal error of actual results compared to expected results; therefore, percent error would not be the correct answer. Additionally, standard deviation is the measurement of the deviation from a group as a whole. This calculation is often conducted using averages (means); thus, the options standard deviation and standard deviation of the mode would also be incorrect.
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Example Question #124 : Research And Testing
A researcher has determined through an experiment that moderate doses of ginseng have no effect on verbal memory; thus, he fails to reject the null hypothesis. In reality, the researcher missed a critical data point in his analysis that should have pointed towards a positive effect of ginseng on memory. This is an example of which of the following types of research error?
Possible Answers:
Lurking variables
Type I error
Type II error
Confounding variables
Experimental drift
Correct answer:
Type II error
Explanation:
Type II error—also calleda false negative—occurs when a researcher incorrectly fails to reject a false null hypothesis. In other words, the researcher should have rejected the null hypothesis in favor of the experimental hypothesis. In this case, the researcher should have found evidence in favor of the experimental hypothesis that ginseng consumption has a significant effect on memory; however, the researcher failed to do so because of some experimental error (i.e. random or systematic, the problem does not specify).
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