- lecture 3 discusses:
- aim of literature review
- main purposes of a literature review
- organising framework
- lecture 4 discusses:
- measurement (nominal, ordinal, interval, ratio)
- rating scales
- interval scales
- likert scale
- semantic differential scale
- mapping techniques
- assessing measurement (reliability & validity)
- techniques to ensure reliability
- parallel forms technique
- split-half technique
- intercoder reliability
- internal validity
- types of validity
- predictive validity
- construct validity
- lecture 5 discusses:
- functions of survey/interview methods
- advantages of survey method
- disadvantages of survey method
- survey designs (cross-sectional, longitudinal study)
- instrument design
- lecture 7 discusses:
- factors influencing internal validity (sensitization, sequencing effect, statistical regression, attrition, data analysis, researcher presence, unintentional expectancy effect, hawthorne effect, history, inter-subject diffusion)
- factors influencing external validity (sampling, ecological isomorphism, replication)
- how to replicate study (literal, general, triangulation)
- content analysis
- lecture 8 discusses:
- forms of statistical analysis (description, inferential)
- bar graph, pie chart, line graph, histogram, frequency polygon, frequency curve.
- measures of central tendency (mode, mean, median)
- measures of dispersion
- range, variance, standard deviation, inferential statistics
- analyses of differences (t-test, chi-square, z-test, anova)
- analyses of relationship (correlation, regression, multiple regression, factor analysis)
- pearson r.
- lecture 9 discusses:
- experimental design
- causation
- control
- variability
- establishing causation (temporal ordering, meaningful covariance, nonspuriousness)
- causality
- matching
- categorising your experiment by setting (lab, field)
- categorising your experiment by level of control (high, moderate, low)
- high control (3 methods)
- terms in experimental design (T, C, Pr, Po, x, -)
- pre-test post-test design & its limitations
- post-test only control group design & its limitations
- solomon four-group
- pre-test post-test nonequivalent group
- interrupted time series
- multiple interrupted time series
- categorising experiments by number of independent variables
- planning an experiment & conducting it
- hawthorne effect
jul 16 2012 ∞
aug 26 2012 +
aug 26 2012 +