Introduction to Research Ways of Knowing • • • • • • Tenacity Intuition Authority Reasoning (Rationalism) Observation (Empiricism) Science Tenacity • Most primitive approach • Stubbornly hold on to an idea or tradition – No evaluation • One of the most common and dangerous ways of accepting new information 1 Intuition • “Believe it is true because I feel it is true” • Knowledge/belief from within • Belief is unsupported by objective evidence Authority • Minimally superior to the method of tenacity • Accepting word of authority figure without skepticism – Famous person – Respected person Disadvantages of Method of Authority • Authority could be wrong – Nazi war atrocities – Freud and cocaine 2 Disadvantages of Method of Authority • Granting authority when it isn’t justified Disadvantages of Method of Authority • Granting authority when it isn’t justified – Celebrity endorsements Disadvantages of Method of Authority • Granting authority when it isn’t justified – Celebrity endorsements – Psychics 3 Disadvantages of Method of Authority • Granting authority when it isn’t justified – Celebrity endorsements – Psychics – Radio Psychologists Advantages of Method of Authority • True authorities are often correct Advantages of Method of Authority • Obtain knowledge we don’t have time or training to acquire – Education • Evaluate knowledge skeptically 4 Reasoning • Use individual powers of pure reason and logic – Rationalism • Beliefs are deducted from prior assumptions according to rules of logic • Often takes the form of a syllogism Logical Syllogism • True Premises – Premise:All humans are mortal; – Premise: I am a human; – Conclusion: Therefore, I must be mortal 5 Pitfalls of Rationalism • Incorrect premise leads to false conclusion – Premise: No woman can count – Premise: I am a woman – Conclusion: Therefore, I cannot count • Can construct logical, eloquent arguments for both sides of a debate – Gun control Observation • Learning through direct observation and experience – Empiricism • Can use other’s observations if trustworthy • Empirical evidence – Often the cornerstone of solid argument Pitfalls of Empiricism • Experiences of the world are limited • Difficult to be an objective observer – Biases or preconceived ideas influence observation • Reasoning strategies/errors – Availability heuristic – Confirmation bias 6 Availability Heuristic • Estimate frequency or probability on the basis of how easily examples come to mind – May cause overestimation of likelihood of vivid events • What percentage of convictions for felony crimes are obtained through trial instead of plea bargaining? – Less than 10% Confirmation Bias • Search out information to confirm beliefs • Ignore contradictory information If a man is offered a fact which goes against his instincts, he will scrutinize it closely, and unless the evidence is overwhelming, he will refuse to believe it. If, on the other hand, he is offered something which affords a reason for acting in accordance to his instincts, he will accept it even on the slightest evidence. - Bertrand Russell Empiricist Rationalist • Empiricism: phenomena investigated by careful, objective observation • Rationalism: phenomena understood by careful thought, and logical proof 7 Science • Combination of observation and reasoning by logic • Advantage – Objectivity • Observations can be verified/replicated by others • Logical reasoning – Used to explain observed events Scientific Method • Building blocks – Empirical observation – Replication by other scientists – Logical explanation • Used for experimentation – Generating hypotheses (educated guesses) – Conducting tests – Tests support or refute hypotheses Pre-scientific Revolution • Empiricism and rationalism used for centuries • Method of authority – Most common means used to answer questions of reality • Religious dogma – Authority figures might use empiricism or rationalism • Conclusions rarely 8 Scientific Revolution (1550 – 1700) • Scientific method developed – Used both empiricism and rationalism • Post revolution – Scientific method became favored method of answering substantive questions • Very successfully – Yielded rapid advances in the sciences • Medicine, physics, chemistry Scientific Method and Psychology • British Associationism – School of thought emphasizing empiricism – Human behavior is determined by experience • Spawned many researchers – Wilhelm Wundt – First psychology lab (1879) Scientific Thinking • • • • Determinism Objectivity Data-driven Empirical Questions 9 Determinism • All events have causes • Understanding causes allows us to predict events • Determinism and free will – Illusion of free will? – Or is free will meaningless without determinism? Objectivity • Can be verified by more than one observer • Define terms and research procedures – Allows others to replicate study and observe same outcome • Reliable replication – Scientists trust the observation • Failure to replicate – Outcome not believed Data-driven • Conclusions about human behavior – Must be supported by objective information – Objective information gathered through a systematic procedure • Judge whether data given to support claim are adequate 10 Empirical Questions • Can be answered through systematic observations and experiences • Precise enough to allow specific predictions to be made • Nonempirical – “Is there a God?” • Empirical – “Does belief in God increase with age?” Broad Research Approaches • Descriptive • Relational • Explanatory Descriptive Research • Carefully describing behavior • Explanation of behavior is not a goal • Necessary first step – Establishes foundation for future study • Observation – “Many great artists suffered from mental illness” 11 Relational Research • Two or more variables are measured and related to each other • Relationship – Existence – Pattern – Strength • Observation – “More highly creative individuals experience mental illness than noncreative individuals” Explanatory Research • Focuses on identifying the causes of behavior • Manipulating conditions believed to be responsible for behavior • Manipulation – Artists receive no recognition for work – Artists receive recognition for their work Generating a Research Question • • • • • Intensive Case Studies Paradoxical Incidents Resolving Conflicting Results Serendipity Observations 12 Intensive Case Studies • In - depth examination – Individual or group of individuals • Qualities – Meticulous records – Sharp discriminations • Methods – Archival material – Record behavior – Report what they/others have done Resolving Conflicting Results • Competing theories – Different explanations to support existing data • Evidence in support of both theories • Resolving conflict – Identifying influential variables/situations – Consolidation of theories Paradoxical Incidents • Observations of behavior/phenomena – Unexplained causes • Examples – Zeigarnik effect – Kitty Genovese 13 Zeigarnik Effect • Memory better for incomplete tasks • Origins of research – Coffee shop discussions – Waiter’s memory of orders • Orders forgotten once bill was settled • Phenomena intrigued Zeigarnik – Designed study to examine hypothesis Kitty Genovese Kitty Genovese 14 Serendipity • “Lucky” Discoveries – Occur when looking for something else • Chance encounters – Velcro • Anomalous data – Sensory store Chance Encounters – Velcro • George deMestral • Walk through field • Cockleburs stuck to clothing Invention of Velcro 15 Anomalous Data – Sperling • Harvard graduate student • Research interest – Information processing in visual system • Amount of information obtained in single fixation Anomalous Data – Sperling • Subjects reported they could see more than they could report • Very short term memory store – Trace faded before subjects finished reporting X B S T D H M G R L W C Report Identity and Location of every item in the display Stimulus presented for 50 msec (.50 sec) Observations • One of the most common sources of research ideas 16 Fundamental Principles of Science • • • • • Determinism (Discussed previously) Empiricism/Operationalism Falsifiability Replicability Parsimony Asking Empirical Questions • What is an empirical question? – Answered through systematic observations – Precise • Allow specific predictions • Operationalize terms – Defined in terms of a set of operations to be performed • Strict definition Operationalizing Terms • Strict definition – Based on set of operations/procedures – Works well for some sciences – Physics, geology – Causes problems for other sciences – Psychology, Sociology • Creates arbitrary limitations on concept 17 Operational Definitions • Links concepts to measurable, observable events • Creativity – # Ss drawing animals with the same features – Rating scale – # Features shared by earth animals Pre-existing Bias Problem • Intuitive theories • Same terms used by laymen and scientists – Technical concepts are different – Leads to misunderstandings • “Depression” – Layperson – “Down in the dumps” – Psychologist – DSM III-r definition 18 Basing Views on Intuition • Operational approach dehumanizes people – Should base views of human beings on intuition • Problems – Disagreements difficult to resolve – Disagreements result in a power struggle Operationalism: A Humanizing Force • Truth of a knowledge claim not determined by strength of belief • Theoretical views should be based upon observable behavior – Knowledge claims become public – Conflicting ideas can be tested • Operational definitions evolve Theories • Theory – Set of logically consistent statements about a behavioral phenomena • Can be derived from observation – Tentative first step • Can be derived from experimental data – Many experiments – Theory explains the whole set of data 19 Characteristics of Theories • Summarize empirical knowledge about a phenomena • Organizes the knowledge • Provides a tentative explanation for phenomena • Serves as a basis for making predictions about behavior Falsifiability • Theory must make falsifiable predictions • Predictions must be specific – Predict what should happen – Predict what should not happen The Freedom to Make Mistakes • Falsifiability allows mistakes • Falsification of predictions is progress – Used to adjust theories – Theories accord more closely with data • Better reflect the nature of the world • Driving force in the evolution of a theory 20 Replicability • All experiments have flaws • New data is replicated by others to verify results are reliable – Replication occurs • Greater confidence in results – Replication fails • Determine source of failure – Conditions under which effect is seen – Flaws that produced false result Theories and Hypotheses • Hypothesis – Can be derived from theory – Selects what the researcher observes • “Working” hypothesis – Falsifiable – Corresponds with reality – Coherent and parsimonious Correspondence with Reality • Follows logically from what is known – Consistent with respected scientific theories – Consistent with available empirical data 21 Coherence and Parsimony • Coherence – Hypothesis statement is logical • Parsimony – Hypotheses must be a simple as possible – Occam’s razor • “Cutting away” superfluous concepts – A prescription rather than a description Variables • Events or conditions – Observed or measured – Subject to change • Three types – Independent variables – Dependent variables – Extraneous variables Dependent Variables • Effect or outcome of interest • Manipulate presumed causes to determine their effect on the DV • Measurement – Operational definitions critical 22 Independent Variables • Factor of interest to the experimenter – Hypothesized “cause” of phenomena • Variable being manipulated Independent Variables – Characteristics • Minimum of two levels – Comparison between two situations • The effects of different dosages of marijuana on reaction time – IV = amount of marijuana • Level 1 = High dose • Level 2 = Low dose – DV = reaction time Context and Variables • Variable can be an IV or a DV – Depends on presumed direction of causality • Mental illness and Creativity – Mental illness enables creativity • IV = degree of mental illness • DV = degree of creativity – Creativity causes mental illness • IV = degree of creativity • DV = degree of mental illness 23 Extraneous Variables • Variable that might affect DV – Not of current interest to experimenter • Has the potential to influence the results of the study – Experimenter needs to control variable Extraneous Variable - Example • Examine relationship between time spent reading the textbook and grade received in class – IV = Time spent reading – DV = Grade received in class – Extraneous variable = Reading ability Mediating and Moderating Variables • Mediating variable – An intermediate variable that enables relationship between IV and DV • Moderating variable – Influences perceived relationship between IV and DV Education Social Class Mediating variable Self Breast Exam 24 Mediating and Moderating Variables • Mediating variable – An intermediate variable that enables relationship between IV and DV • Moderating variable – Influences perceived relationship between IV and DV Education Mediating variable Self Breast Exam Social Class Mediating and Moderating Variables • Mediating variable – An intermediate variable that enables relationship between IV and DV • Moderating variable – Influences perceived relationship between IV and DV Age Younger Moderating variable Self Breast Exam Social Class Mediating and Moderating Variables • Mediating variable – An intermediate variable that enables relationship between IV and DV • Moderating variable – Influences perceived relationship between IV and DV Age Older Social Class Moderating variable Self Breast Exam 25
© Copyright 2026 Paperzz