Psy/Soc 10 Midterm 2 Review PDF

Psy/Soc 10 Review Sheet for Midterm 2 Measurement concepts (Ch. 5) Different types of reliability -(two separate times – test-retest, alternative form) -(two different coders – inter-rater reliability) -(one time within a test) – internal consistency – split-half, Cronbach’s alpha, item total) Dif...

Psy/Soc 10 Review Sheet for Midterm 2 Measurement concepts (Ch. 5) Different types of reliability -(two separate times – test-retest, alternative form) -(two different coders – inter-rater reliability) -(one time within a test) – internal consistency – split-half, Cronbach’s alpha, item total) Different types of validity -construct, content, face, predictive, concurrent, convergent, divergent Issues about reactivity vs. unobtrusiveness Examples of measurement scales (nominal, ordinal, interval, ratio) Observing behavior (Ch.6) Main differences between quantitative vs. qualitative designs Advantages & disadvantages of various quantitative and qualitative designs Differences between experiments, correlational designs, systematic observation, surveys, archival research (different types), ethnographies, naturalistic observations, case studies, focus groups (* you need to know the advantages and disadvantages for each!) Experimental design (Ch. 8) Definitions of independent and dependent variables Confounding variable Independent groups vs. repeated designs vs. matched groups & pros and cons of each – understand the difference between these designs Carryover effects and ways to minimize them (e.g., counterbalancing, Latin square, etc..) Posttest-only vs. pretest-posttest designs & advantages and disadvantages of each design Conducting experiments (Ch. 9) Definitions of informed consent, debriefing Operational definition of variables Straightforward vs. staged manipulations (use of confederates) Range (strength of manipulation) and issues involved Single vs. multiple dependent measures (advantages & disadvantages) Different types of dependent measures (self-report, behavioral, physiological – all kinds) Ceiling vs. floor effect Demand characteristics, experimenter bias & ways to minimize them Placebo group, double-blind studies Ways to debug a study (informal meetings, proposal, pilot, manipulation check) Various ways to present a study Understanding research results: Description and correlation (Ch. 12) Difference between descriptive and inferential statistics Scales of measurement (nominal, ordinal, interval, ratio) Frequency distributions (normal, bimodal, skewed – positively and negatively) Plotting distributions (polygons, histogram, pie chart, bar graph – be able to graph) Central tendency (mean, median, mode) Dispersion/variability (range, variance, standard deviation) Pearson r (strength and direction of relationship) Basic understanding of Spearman correlation, effect size, regression, multiple correlation, partial correlation, structural models, path analysis