Which perspective studies why the fear of darkness may have promoted the survival of our human ancestors?
thinking. Which perspective studies why the fear of darkness may have promoted the survival of our human ancestors? illusory correlation.
Which perspective would be most helpful for understanding the role of repeated practice on the long term retention of information?
Cognitive perspective explains human learning, thinking, and behaving from information processing approach where all the information is attended sensed, perceived, interpreted, and response is made. Repeated exposure to the information leads to the consolidation of memory which is long lasting.
Which early school of thought in psychology was most clearly focused on understanding the adaptive value of complex mental processes Group of answer choices?
Module 1
| Question | Answer |
|---|---|
| Which research method was introduced by structuralists to identify basic elements of sensory experience? | introspection |
| Which school of psychology was most clearly concerned with the adaptive value of complex mental processes? | functionalism |
| Wilhelm Wundt was both a: | physiologist and philosopher. |
How do we learn observable responses?
The answer is the behavioral perspective. A focus on how we learn observable responses is most relevant to the behavioral perspective. Behaviorists believe that one’s behavior is a result of an interaction with the environment.
Which perspective studies how the body and the brain enables emotions?
Cards
| Term William James | Definition Who introduced functionalism? |
|---|---|
| Term neuroscience | Definition the approach to psychology that focuses on the body and brain enable emotions, memories, and sensory experiences. |
Which psychological perspective is most concerned with how individuals interpret their experiences?
Psychology Perspectives Hunt
| Question | Answer |
|---|---|
| Which perspective is most concerned with how individuals interpret their experiences? | cognitive |
| Which perspective most clearly focuses on how we learn observable responses? | behavioral |
What do standard scores tell us?
The standard score (more commonly referred to as a z-score) is a very useful statistic because it (a) allows us to calculate the probability of a score occurring within our normal distribution and (b) enables us to compare two scores that are from different normal distributions.
Which measure of central tendency is affected most by a few extreme scores?
Median is the preferred measure of central tendency when: There are a few extreme scores in the distribution of the data. (NOTE: Remember that a single outlier can have a great effect on the mean).
Which of the following is the measure of variability that is used the most in psychology?
The standard deviation is an especially useful measure of variability when the distribution is normal or approximately normal (see Chapter on Normal Distributions) because the proportion of the distribution within a given number of standard deviations from the mean can be calculated.
What is the most common measure of variability?
standard deviation
What is the measure of variability in psychology?
Measures of Variability are statistics that describe the amount of difference and spread in a data set. These measures include variance, standard deviation, and standard error of the mean.
What does the range tell us psychology?
Range. The range is the difference between your highest and lowest values. It is simple to calculate, however it does not take central values of a data set into account, and so it can be skewed by extremely high or low values.
Why is range important in psychology?
In descriptive statistics, the range is the length of the smallest interval which contains all the data. It is calculated by subtracting the smallest observations from the greatest and provides an indication of statistical dispersion. For a population, the range is more than twice the standard deviation.
How do you determine validity in psychology?
A direct measurement of face validity is obtained by asking people to rate the validity of a test as it appears to them. This rater could use a likert scale to assess face validity. For example: the test is extremely suitable for a given purpose.
Why is standard deviation better than range psychology?
(1) It is the most precise measure of dispersion. For example, the standard deviation considers all available scores in the data set, unlike the range. This is a strength because it means that the standard deviation is the most representative way of understating a set of day as it takes all scores into consideration.
Why is standard deviation important in psychology?
Standard Deviation is a measure of variation (or variability) that indicates the typical distance between the scores of a distribution and the mean. By obtaining a measure of variability, she was able to understand more about how people felt with the class than she would of with just an average score.
Why is it better to compare standard deviations?
Comparing the two standard deviations shows that the data in the first dataset is much more spread out than the data in the second dataset.
Why is standard deviation a good measure of dispersion?
Standard deviation is considered to be the best measure of dispersion and is thereore, the most widely used measure of dispersion. (i) It is based on all values and thus, provides information about the complete series. Because of this reason, a change in even one value affects the value of standard deviation.
Which of the following is the best measure of dispersion?
Standard deviation is the square root of the arithmetic mean of the squares of the deviations measured from the arithmetic mean of the data. It is considered as the best and most commonly used measure of dispersion as it is a measure of average of deviations from the average.
Which measure of dispersion is the most reliable?
Standard deviation
What is the most suitable measure of dispersion?
Standard deviation (SD)
What are the five measures of dispersion?
Examples of dispersion measures include:
- Standard deviation.
- Interquartile range (IQR)
- Range.
- Mean absolute difference (also known as Gini mean absolute difference)
- Median absolute deviation (MAD)
- Average absolute deviation (or simply called average deviation)
- Distance standard deviation.
How do you calculate dispersion?
Add together your differences from the mean and divide by the number of data values you have. In the example, 2.66 plus 0.33 plus 3.33 equals 6.32. Then, 6.32 divided by 3 equals an average deviation of 2.106.
What is an example of dispersion?
Dispersion is defined as the breaking up or scattering of something. An example of a dispersion is throwing little pieces of paper all over a floor. An example of a dispersion is the colored rays of light coming from a prism which has been hung in a sunny window.
What are the 3 types of dispersion?
Individuals of a population can be distributed in one of three basic patterns: they can be more or less equally spaced apart (uniform dispersion), dispersed randomly with no predictable pattern (random dispersion), or clustered in groups (clumped dispersion).
Why do we calculate measures of dispersion?
While measures of central tendency are used to estimate “normal” values of a dataset, measures of dispersion are important for describing the spread of the data, or its variation around a central value. Two distinct samples may have the same mean or median, but completely different levels of variability, or vice versa.