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Wilhem Wundt
1862, he taught “psychology as a natural science”
Contributions to a theory of perception (1862)
Lectures on human and animal psychology (1863)
Characteristics Of Wundt Thought
Mind abd Body: believed origin of mental processes dated to the origin of life itself, with the mind being a meaningful discourse and the phsyical syste another meaningful subject of discourse
Breadth Of Vision: Explored ethics, logic, sociocultural psychology and physiology
Voluntarism: To be free, an action must be voluntary
Wundt Opinion/Perspective Of Darwin
Assimilated his ideas, agreeing with the importance of the princple of adaptation
Animal is not merely passive but acts on its world on the basis of affect and past associations
Key Concepts From Wundt
Definition of psychology
Elements
Sensations And Perceptions
Association And Appreciation
Wundt’s definition of Psychology
Science that investigates “the facts of consciousness”
Must discover elements of consciousness to discover combinations that elements undergo and laws that regulate combinations
Wundt: Elements
believed there were mental elements or pure sensations
Recognized simplae sensation or simple element is not actually simple psychologu
Wundt: sensation
Element on consciousness
Wundt: perception
Generally refers to combination of outward sense impressions
Wundt: Idea
Combinations that may come from memory, previous associations and so on
Wundt: Associations And Appreciation
Passive combinations: Associations
Active combinations: appreciations
Sleeps importance in maintainig cognitive functions such as attention and cognitive combinations
Tridimesnional Theory Of Feeling
Based on pleasure and pain, strain and relaxation, and excitation and quiescence
ammonia is pain, sweetness is pleasure
Red is exciting, blue is quieting
combne to form meaningful compound
gvien sensation may be pleasureable and exciting/quieting
Principle of Creative Synthesis
Refers to the fact that in all psychical combinations, the product on not a mere sum of all seperate elements that compose such combinations, but represents new creations
Measures Of Variability
Refers to indicators that quantify the extent of dispersion of spread among data points in a data set
Range, variance and standard deviation
Standard Error
Quantifying the effect and taking away tightly clustered result/histogram
As sample size increases, the standard error mean decreases
Central Limit Theorm
Adding multiple data and valid points to a sample causes the results to become more accurate, simple and symmetrical
basically, if we take enough samples, the distribution of their means will be roughly normal even if the original data isn’t
Standard Normal Distribution
Symmetric, bell shaped probability distribution with a mean of 0 and a standard deviation of one
Z Scores
Measures that standardize data by expressing how many standard deviations a data point is from the mean in a standard, normal distribution
Tells us how far a score is from the mean
Percentage Of results That Fall Above and Below The Mean In A Standard Normal Distribution
50%
Percentange of results that fall between the mean and one standard deviation
34% on both sides
68% of all results fall here
Percentange of results that fall between the mean and two standard deviation
14% on both sides
28% in total
Percentange of results that fall between the mean and two standard deviation
2.5% on both sides
5% in total
Probability
0 = no chance of happening
1 = 100% chance of happening
Standard Error Of Mean
Standard deviation divided by the square root on the number in the sample
Shows how much sample means tend to vary from true population mean
gets smaller with a larger amount of participants
means more precise estimates of the population mean
To Find The Probability Of Individual Score
Look at how far that score is from the population mean, then divide it by the population standard deviation
To Find The Probability Of A Sample Mean
Look at how far the sample mean is from the population mean, then divide this by the standard error of mean
Inferential Statistics
Make conclusions beyond sample
Sample used to make educated guess about population
Sample Mean
Estimates the population mean
Normal Distriution
Bell curve
Standard Normal Distribution
Converts raw scores into Z scores, has a mean of zero and a standard deviation of one
Normal Curve Table And Z Score
Z table finds probability of score occuring and shows percentage of scores associated with different z scores on standard, normal distributions
low Level probability is known as the
Alpha
Introsepction
Process of reflecting upon yourself and reporting your conscious expreiences as objectively possible
Relies on abilty to choose what to attend to
if light is lit in dark room, you must report the smell of wax, warmth of candle and light of candle
Steps In Introspection
1) observer need sot know when experience begins and ends
2) bserver must pay "strained attention"
3) pehnomenon must bear repetition
4) phenomenon must be capable of variation (change stimulus)
Titchner And Structuralism
Aimed to undertand structure of consciousness, trying to develop a periodic table of human consciousness/behaviour
Broke sensation into quality, intensoity, clearness and duration
favoured introspection
consciouness can be broken into series of elements
James And Functionalism
Believed psychological knowledge could be gained through a avriety of methods, like studying introspections of those who are unable or unreliable
formed against structralism
Emphasies purpose of consciouness and behaviour in adapting to environment
P Value
Probability that an observed effect is simply due to chance
95% Confidence Interval
Gives us an indication of how the difference between two groups might vary if we did lots of studies