Quantitative Data Analysis Steps

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Steps in Quantitative Data Analysis

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1. Prepare data for analysis 2. Conduct descriptive analysis 3. Conduct inferential analysis 4. Report results 5. Interpret results

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Preparing Data for Analysis

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Organize data, score responses, create codebook, select statistical program

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Descriptive Analysis

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Measures of central tendency, variation, reporting key results

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Inferential Analysis

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Test hypotheses, examine confidence intervals, effect sizes

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Scoring Data

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Assign numeric scores to responses, create consistent scoring system

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Types of Scores

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Single-item scores, summed scores, net or difference scores

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Statistical Programs

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Minitab, JMP, SYSTAT, SAS, SPSS

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Inputting Data

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Transfer data into statistical program, use grid format

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Cleaning Data

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Inspect for errors, handle missing data

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Descriptive Statistics

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Summarize trends, central tendency, variability