I believe that politics can have a substantial impact on the science of psychology by causing paradigm shifts and views to be rethought in this field.
the outside world of politics can a have a substantial view on how psychologist operate and voice their views for example it wasnt so long ago when individuals especially women with disabilities were badly treated and virtually outcast by members of society but wen view in places like USA psychologists such as Asch investigated this paradigm shift : the eexclusion felt by individuals with disabilities were highlighted were highlighted in texts and brought to the attention of not only Asch’s Peers but the non academic world thus showing the wrong doing’s being dealt to individuals.
politics can affect psychology as it mergers the words of psychology, politics and theology together in order to form or shed light on new concepts and debates for example the hostility and political tyranny induced in NAZI germany caused psychologist to research conformity and the effect it has on individuals leading onto the birth of great and politically renowned research by the likes of Zimbardo and Milgram. without such research may never have understood the impact that authoritarian personalities can have on individuals from a young age thus leaving us vulnerable to easy persuasion.
to conclude politics helps the evolution of psychology and progresses it further with time
till next time
Research methods can help by deciphering the direction of the relationship , this helps greatly when looking at the cause
and effect relationship as it deciphers the direction of he relationship , this helps greatly when looking at the cause and effect relationship as it can easily tell the research what the effect is and the entity( entities) that may have caused it.
It can tell you if the cause and effect relationship is strong or weaker thus hinting at the strength of the correlation… the stronger th correlation the greater the effect for example one of the most highly contested and influential documents of it’s time was the Bell curve . The bell curve insinuates a positive and strong correlation between pale skinned individuals and intelligence and its attributes. http://academic.sun.ac.za/mathed/174/NatureNurture/Wikipedia.pdf
The cause and effect relationship is very useful when it comes to teasing out the medical roots of serious illnesses for example when it comes to the causes of cardiovascular disease due to individual differences it may be harder to tell the cause thus slowing down treatment and allowing such a potentially fateful disease to persist. http://www.ajcn.org/content/72/2/315.short
On the whole reseach methods use of the cause and effect relationship to decipher trends in data , as it is a very useful well developed tool in the psychology field.
Statistics and statistics programs such as SPSS merely help to clarify numerical data and highlights the trends in data that may have otherwise been missed . Graphs and charts and visual representations make data infinitely easier to work with and easier to analyse the outcome fo example for in 1999 members of the University of California’s computer science department ; they found that visual representations whether interactive or other wise wer more “effective” in the data process and helped individuals “interact” better with the data they are presented as visual representations make it easier to understand the statistics which make the data. http://dl.acm.org/citation.cfm?id=319360
That being it wholly depends on the type of data being analysed whether you need statistics or not. Statistics is more common in more complex data that generally needs greater analysis in order to understand the main points of said data .Data that is qualitative may not be as useful in a statistics format as data that is in a quantitative form. Studies such as the study performed by individuals in the school of hygiene and public health in Maryland. It was found that when studying antimalarial chemoprophylaxis during pregnancy in Malawi. They used both qualitative and quantitative techniques. The combination creates diversity within the data set. http://heb.sagepub.com/content/19/1/41.short
To you technically do not need statistics in order understand data. Statistics are just an aid in order to help you understand data and may not be relevent in all types of data.
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