Wednesday, July 30, 2014

Research, Statistics, and Psychology




Psychology is the scientific study of human behaviors, thoughts, and feelings; however, the use of extensive research and statistics can provide a psychologist the ability to examine and report the findings.  Psychology uses several types of scientific research to prove or disprove psychological theories (e.g., observational, correlational, and experimental).  When psychologists are performing research, it is necessary to have a way of measuring the results.  Statistics is that measure; it helps to identify logically the validity of the research methods used.  Therefore, statistics, as much as research, is the backbone to the science of psychology.
Research
Using the scientific research method to acquire and test knowledge is a key process for most research studies today versus the empirical method of obtaining information based on observation only.  Regardless of the method used, it is important that it be a reliable and valid process.  However, to consider a project scientific, it must be objective and follow a specific process; Cowens (2006) provides five basic steps to break down the scientific method.  First a researcher must determine a problem that needs solving, such as why Billy cries whenever his mother leaves the room.  Next a researcher must develop a hypothesis, which, quite frankly, is a researcher’s best guess or prediction of the outcome of the original question (in this instance a hypothesis may be Billy cries because he becomes anxious).  Then, testing the hypothesis can begin; this may be the most important step in the process because some researchers find that his or her original hypothesis is incorrect (e.g., Billy cries because of his mother’s anxiety).
Primary data is obtained directly from a researcher’s observations in an effort to support his or her hypothesis.  However, according to Cowens (2006), checking the results “against known facts” (e.g., Billy’s behavior in other situations) also becomes an important part of the testing process (p. 42).  Furthermore, reading up on any existing work (e.g., separation anxiety in children) can provide a better understanding of the subject; this type of information or secondary data has not been personally observed by the researcher performing the study, but can be very helpful.  It is one thing to have a hypothesis and obtain primary data, but if research has already been completed on the subject, this secondary data may just provide an explanation about why a researcher has surmised his or her hypothesis (e.g., previous work left unanswered, additional questions that will be addressed, etc.).  Of course, documenting primary data at each step of the experiment helps when trying to identify the outcome, leading to the fifth and final step, which is drawing a conclusion.  If the research supports the hypothesis (both primary and secondary data follow the original prediction) there is no need for further explanation; however, if the results differ the researcher will need to identify were the experiment may have gone wrong, requiring a revision of the hypothesis.  Upon reviewing the statistical analysis of the research, anyone should be able to understand clearly the direction of the experiment.
Statistics
The collection, organization, analysis, and interpretation of the data gathered from the psychological research process are accomplished through the use of statistics.  Aron, Aron, and Coups (2009) refer to statistics as “a method of pursuing truth” (para. 3).  Statistics can provide the likeliness that a theory or hypothesis is true or not.  Much like the different methods of research, there are also two methods of statistical analysis: descriptive and inferential.  Descriptive statistics enables psychologists to take a group of numbers from a research study and both summarize and describe the outcome.  With inferential statistics, psychologists can draw conclusions and as the name indicates, make inferences for a larger groups based on the numbers from a smaller sample group.  When psychologists are conducting statistical evaluations, he or she must take into consideration variables (conditions or characteristics with different values), values (number or category), and scores (a particular value on a variable).  From this information statistics can provide psychologists with the ability to put research into easily identifiable measures (or variables), also called “quantitative variables” (Aron, Aron, & Coups, 2009, p. 3).
There are many types of tables and graphs that can be assembled from a simple group of numbers allowing psychologists to identify accurately trends or obtain ratings and ranks.  One such table is a frequency table, which takes a group of scores and identifies how many of the same scores exist.  A grouped frequency table lists the data (numbers) in order of their frequency value and also provides the frequency percentage.  A histogram is “a kind of bar chart” that takes the research numbers from the frequency table and puts them into a graph.  Values are arranged along the bottom of the graph from left to right, lowest to highest.  In addition to that one would arrange the frequencies along the left edge of the graph with the lowest number at the bottom and the highest at the top.  Although there are many formats (e.g., column, line, bar, area) available for graphs and charts, it is imperative that the values and frequency bars or sections used have equal spacing, this provides accurate visual markers for others to review the work performed. 

Sample Statistics Chart

Psychology
As explained by Hasiam and McGarty (2003), “the key goal of psychological research is to understand why mental processes and behavior have particular effects…” (p. 15).  By virtue of explaining such phenomena, the idea is not to continue to uncover more facts, but to explain a specific theory, hypothesis, or assertion.  Therefore, it is important to understand that a theory in psychology serves two purposes; first, to address multiple facts and also to generate predictions (hypotheses) from changing perspectives.  Thus, while psychologists still use “argument, common sense, and logic” he or she relies more heavily on the use of “empirical evidence and its interpretation” (Aron, Aron, & Coups, 2009, p. 13).
To further the knowledge of the human psyche psychology as a science will continue to use research and statistics.  Regardless of the scientific research method used reliable and valid processes allow the field to continue to develop a better understanding of specific aspects of behavior, thoughts, and feelings.  Although without the mathematical ability to collect, organize, analyze, and interpret objectively the data gathered, psychology would still be just a philosophical journey.  However, because psychologists have learned to break down research scientifically to only one hypothesis, the field has advanced considerably.  Although the data remains an important aspect of psychological research, maintaining the human factor is the ultimate goal in psychology.
                                                           
 

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