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Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis
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Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis – 3 Steps 1.Select appropriate technique for data and research questions 2.Apply technique or calculate using the technique 3.Interpret results of technique
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Chapter 13 Conducting & Reading Research Baumgartner et al SamplePopulation StatisticsParameters drawn from used to estimate US college students 1000 Students from 100 Colleges & Universities Average Scores in Groups Standing of all US College Students
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Chapter 13 Conducting & Reading Research Baumgartner et al Types of statistics 1.Descriptive vs Inferential 2.Parametric vs Nonparametric 3.Univariate vs Multivariate
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Chapter 13 Conducting & Reading Research Baumgartner et al Describes characteristics of a group Used in process of making inference from sample to a population
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Chapter 13 Conducting & Reading Research Baumgartner et al Usually requires interval data and normal distribution Does not require interval data and normal distribution
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Chapter 13 Conducting & Reading Research Baumgartner et al Each subject contributes one score on one variable Each subject contributes multiple scores on multiple variables
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Chapter 13 Conducting & Reading Research Baumgartner et al Chapter 13 Descriptive Data Analysis
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Chapter 13 Conducting & Reading Research Baumgartner et al Computer Analysis Statistical programs –SPSS –SAS
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Chapter 13 Conducting & Reading Research Baumgartner et al Organizing and Graphing Test Scores simple frequency distribution grouping scores for graphing –frequency polygon –normal curve (bell-shaped curve), negatively skewed curve, positively skewed curve, leptokurtic, platykurtic –histogram
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Chapter 13 Conducting & Reading Research Baumgartner et al Descriptive Values Measures of central tendency –Mode –Median –Mean Measures of variability –Range –Standard deviation –Variance Measuring group position –Percentile ranks and percentiles –Standard Scores
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Chapter 13 Conducting & Reading Research Baumgartner et al Determining Relationships between Scores The graphing technique –scattergram, regression line The correlation technique –correlation coefficient (r) has direction and strength –coefficient of determination
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