2011-2012 Research Planning After Data Collection This agenda lists suggested steps and timeline after data collection for undergraduate research using quantitative and qualitative data, respectively. The number of weeks in parentheses is an approximation of how long each step might take. Please note these are suggested timelines as “best case scenarios” you should always check with your advisor and adjust the timeline according to the complexity of your project. Quantitative Data Steps and Timeline Follow these steps after you have data that has been collected by you or a secondary source 1. Entering/Cleaning/Missing (1 week +) Arrange data into variables & cases Use a unique id 2. Coding Data (2 weeks +) Recode dichotomous variables Recode categorical variables Code/Recode missing data Write or revise Codebook 3. First Level Analysis (3 weeks +) (Basic Descriptives, simple tables, charts and data description) Run descriptive analysis (univariate statistics, e.g., means, frequencies) Run crosstabs Create tables & charts Write data description 4. Second Level Analysis (6 weeks +) (Statistical Tests: bivariate and/or multivariate analysis) Bivariate analysis (e.g., correlations) Multivariate analysis (e.g., regressions) Create tables & charts 5. Interpretation/Writing (6 weeks +) Qualitative Data Steps and Timeline Follow these steps after you have collected the data and completed the transcriptions. Please note that transcribing interviews takes some time, so give yourself enough time to transcribe and analyze your qualitative data. 1. Entering/Cleaning/Organizing (2 weeks +) Check data format Clean documents Enter numeric info into spreadsheet if applicable Create project in software (i.e., import documents) Stanford University Social Science Data and Software 2. Learning Software by doing (2 weeks +) Learn software & decide if it’s useful or not: Create basic set of nodes/codes Code line-by-line thru a couple of complete documents Write memos and annotations as you are coding Test searches and queries once you have a set of codes 3. Initial Coding and Analysis (4 weeks +) Continue coding. For a deductive approach, code until you have coded all of your data or until you have coded all key data sources. For an inductive approach, code until you have coded all of your data, all key data sources, or until you have reached a saturation point and are no longer generating new codes. Write initial memos 4. Focused Coding and Analysis (6 weeks +) Aggregate codes as appropriate and re-code data as needed Sort data by particular codes and read Subcode as appropriate Write integrative memos 5. Final Analysis and Writing (6 weeks +) SSDS Software Services at Stanford Software Services provides technical support for software users at Stanford. Users can ask questions or make appointments with the consultants via our website. For more information or to contact us, see the web at: http://ssds.stanford.edu/ Copyright © 2011, by The Board of Trustees of the Leland Stanford Junior University. Permission granted to copy for noncommercial purposes, provided we receive acknowledgment and a copy of the document in which our material appears. No right is granted to quote from or use any material in this document for purposes of promoting any product or service. Social Science Data and Software Document revised: 9/16/2011 2 - Research Planning After Data Collection
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