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Week 2

Research Methods in Psychology - Psychology 1A

QuestionAnswer
Theory systematic way of organising and explaining observations
Standardised procedures procedure that is the same for all participants except where variation is introduced to test a hypothesis
Generalisability the applicability of a study's finding to the entire population of interest
Objective measurement measures that are reliable and valid
Hypothesis a tentative belief or educated guess that purports to predict or explain the relationship between two or more variables
Quantitative research involves using experiments of surveys to gather data that can be statistically analysed to test particular hypotheses
Qualitative research exploring a research topic through methods such as interviews, observation and case studies to gain a richer understanding of the relevant phenomena
Mixed methods a research approach that involves researchers collecting, analysing, and integrating both quantitative and qualitative data in a single study
Variable any phenomenon that can differ, or vary, from one situation to another or from one person to another
Continuous variable a variable that can be placed on a continuum (eg. degree of optimism, intelligence, shyness, or rate of recovery)
Categorical variable comprised of groupings or categories, such as state, species or whether or not a person has had a heart attack
Population a group of people or animals of interest to a researcher from which a sample is drawn
Sample subgroup of the population likely to be representative of the population as a whole
Sampling bias occurs when the sample is not representative of the population as a whole
Internal validity the extent to which a study is methodologically adequate
External validity the extent to which the findings of a study can be generalised to situations outside the laboratory
Measure a concrete way of assessing a variable
Reliability a measure's ability to produce consistent results
Retest reliability refers to the tendency of a test to yield relatively similar scores for the same individual over time
Internal consistency a measure is internally consistent if several ways of asking the same question yield similar results
Interrater reliability if two different interviewers rate an individual on some dimension, both should give the person similar scores
Validity -refers to the measure's ability to assess the variable it is supposed to assess - the extent to which a study adequately addresses the hypothesis it attempts to address
Scientific approach has three main goals: description, prediction, and understanding
Experimental research - investigators manipulate some aspect of a situation and examine the impact on the way participants respond - can establish cause and effect
Independent variable - the variable an experimenter manipulates, or the effects of which the experimenter assesses - outside participants' control
Dependent variable the response the experimenter measures to see whether the experimental manipulation had an effect
Steps in conducting an experiment... - framing a hypothesis - operationalising variable - developing a standardised procedure - applying statistical techniques to the data - drawing conclusions
Demand characteristics the way participants' perceptions of the researcher's goals influence their responses
Control group participants are not exposed to experimental manipulation
Blind studies participants (and often researchers) are kept unaware of important aspects of the research
Placebo effect a phenomenon in which an experimental intervention produces an effect because participants believe it will produce an effect
Single-blind studies participants are kept blind to crucial information, such as the condition to which they are being exposed
Double-blind studies both participants and researchers are blind to who has been exposed to which experimental condition until the research has been completed
Confounding variables variables that produce effects that are confused or confounded with the effects of the independent variable
Descriptive research attempts to describe phenomena as they exist rather than to manipulate variables
Case study methods in-depth observation of one person or a small group of individuals
Researcher/observer bias results in systematic errors in measurement due to investigators seeing what they expect to see
Naturalistic observation in-depth observation of a phenomenon in its natural setting
Observer effects presence of an observer may alter the behaviour of participants
Survey research research asking questions of a large sample of people, usually about their attitudes or behaviours, using questionnaires or interviews
Random sample sample selected from general population in a relatively arbitrary way that does not introduce any systematic bias
Stratified random sample a sample selected to represent subpopulations proportionately, randomising only within groups (such as age or race)
Correlational research -attempts to determine the degree to which two or more variables are related and can be used to predict one another - does not imply causation
Correlate assess the extent to which being high or low on one measure predicts being high or low on the other
Correlation coefficient - measures the extent to which to variables are related - can be either positive or negative - vary between +1.0 and -1.0
Positive correlation the higher individuals measure on one variable, the higher they are likely to measure on the other
Negative correlation the higher participants measure on one variable, the lower they will measure on the other
Strong correlation one with a value close to either positive or negative 1.0
Weak correlation hovers close to zero, either on the positive or the negative side
Descriptive statistics numbers that describe the data from a study in a way summarises their essential features
Frequency distribution -a method of organising the data to show how frequently participants received each of the many possible scores - represents the way scores were distributed across the sample
Measures of central tendency mean, median and mode
Mean statistical average of the scores of all participants
Median refers to the score that falls in the middle of the distribution of scores
Mode the most common score observed in the sample
Variability how much participants' scores differ from one another
Standard deviation (SD) the amount the average participant deviates from the mean of the sample
Normal distribution scores of most participants fall in the middle of the bell-shaped distribution, and progressively fewer participants have scores at either extreme
Inferential statistics procedures for assessing whether the results obtained with a sample are likely to reflect characteristics of the population as a whole
Range shows the difference between the highest and lowest value observed on the variable
Statstical significance the likelihood that results of a study occurred simply by chance or whether they reflect true properties of the population
Probability value (p value) -represents the probability that any positive findings obtained with the sample were just a matter of chance - Psychologists accept p values that fall below .05 (5%) - the smaller the p value, the more certain you can feel about the results
Effect size indicates the magnitude of the experimental effect or the strength of the relationship
Cohen's d difference
Pearson's r correlation
Created by: KathrynT
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