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The Research Enterprise In Psychology

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The Research Enterprise In Psychology
The Scientific Approach
- Goals
- Measurement & Description
- Scientists commitment to observation requires that an investigation figures out a way to measure phenomenon and study
- Understanding & Prediction
- A higher level goal of science is understanding. Scientists believe that understand events when they can explain the reasons for occurrence of events. Scientists also make predictions otherwise known as a "hypothesis". A hypothesis is a tenative statement about the relationship between two or more variables. Variables are any measurable conditions, events, characteristics, or behaviours that are controlled or observed in a study.
- Application & Control
- This stage is where scientists hope that the information gathered is of practical value in helping solve everyday issues. & Also once people understand a phenomena, they often have more control over it
- Measurement & Description
- Steps in Investigation
- 1. Formulate a testable hypothesis 2. Select a method of study & design the study3. Collect the data4. Analyze the data and draw conclusions 5. Report findings
- Advantages
- -Clarity and precision yield better communication -intolerance of error yields more reliable data
- Research Approaches
- Qualitative Methods : gathers information through observations and interveiws Quantitative: data are collected through measuring things - includes facts and statistics
- Goals
Experimental Research
- Elements
- Independent Variable (IV): condition or event manipulated by experimenter Dependent Variable (DV): aspect of behaviour thought to be affected by independent variable Experimental Group: participants who receive special treatment Control Group: similar subjects who do not receive treatment given to experimental group Extraneous Variables: factors besides IV that might affect DV, hence they need to be controlled
- Variations
- -Can have one group of subjects serve as their own control group -can manipulate more than one independent variable in a study -can use multiple dependent variables in a study
- Advantages/Disadvantages
- Advantages : - Permits conclusions about cause and effect relationships Disadvantages : - Manipulations and control often make experiments artificial - Practical realities and ethical concerns make it impossible to conduct experiments on many issues
- Elements
Descriptive/Correlation Research
- Methods
- Naturalistic Observations
- Careful, systematic observation, but no intervention with subjects
- Case Study
- In-depth investigation of single participant, typically involving data from many sources
- Survey
- Naturalistic Observations
- Advantages/Disadvantages
- Advantages: Broadens the scope of phenomena that psychologists can study ( can explore issues that could not be examined with experimental methods) Disadvantages: Cannot demonstrate that two variables are casually related
- Methods
Statistics
- Basic Descriptive Statistics
- Frequency polygons are graphs used to present data from a frequency distribution. The normal distribution, or bell shaped curve, is one common type of distribution.
- Three measures of central tendency are the median (centre score), the mean (arithmetic average), and the mode (most frequent score).
- The mean tends to be the most useful index of central tendency, but the median may be better if the mean is inflated by a few extreme scores
- The standard deviation is an index of the amount of variability in a data set
- Inferential Statistics
- Inferential statistics are used to interpret data and draw conclusions.
- Hypothesis testing involves making calculations to determine whether research results are statistically significant. Statistical significance exists when the probability that observed findings are due to chance is very low
- Correlation
- Correlation exists when two variables are related to each other
- Two types of correlation Positive: variables co-vary in the same direction Negative: variables co-vary in the opposite direction
- Correlation Coefficient: Numerical index of degree of relationships between two variables Strength: The closer the correlation to either -1.00 or +1.00, the stronger the relationship Prediction: The stronger the correlation, the better one can predict. Causation: Correlation is not equivalent to causation
- Meta-Analysis
- Combines statistical results of many studies of the same question Results yield an estimate of the size and consistancy of a variables effects
- Basic Descriptive Statistics
Common Flaws in Research
- Sampling Bias
- Exists when a sample is not representative of the population
- Placebo Effects
- Occurs when participants expectations lead them to experience some change even though they receive empty of fake treatment
- Distortions In Self-report Data
- Results from problems, such as social desirability bias and response sets, that happen when participants give verbal accounts of behaviour
- Experimenter Bias
- Occurs when a researcher's expectations or preferences about the outcomes of a study influence the results obtained
- Sampling Bias
Ethical Issues
- Ethical Guidelines for Research in Canada
- Principle 1: Respect for the dignity of persons
- Principle 2: Responsible & Caring
- Principle 3: Integrity in relationships
- Principle 4: Responsibility to society
- Important Ethical Issues
- Deception: should researchers be permitted to mislead research participants ??
- Animals Research: Should researchers be permitted to subject animals to harmful or painful procedures ??
- Ethical Guidelines for Research in Canada
Key Terms
- Psychology is Empirical: It is based soon objective observations made through research
- Psychology is Theoretically Diverse: A variety of perspectives are needed to enhance our understanding of behaviour
- Theory: Is a system of interrelated ideas used to explain a set of observations
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- The Research Process of psychology
- Created by
- Brianna Carter
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