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WAK - Research Methods (NBWHS session)

Research Methods

Description: This program illustrates experiments, designed and conducted by students, that revolve around sleep and dreams. In the process, it provides thorough insight into the issues relevant to collecting and utilizing qualitative data. Viewers are shown how to create effective questionnaires, prepare participant interviews, assemble case studies, and conduct observational studies. The program also covers the use of content analysis and explores the correlational method, employed to make qualitative data more meaningful. 

  1. Advantages and Disadvantages of Qualitative Methods04:41
  2. Questionnaire Method08:46
  3. Interview Method06:38
  4. Observational Method05:43
  5. Case Study Method04:14
  6. Content Analysis04:58
  7. Correlational Method06:50
  8. Value of Qualitative Methods01:21

This video focuses on effective ways to understand and organize data using descriptive statistics. Analyzing data collected from studies of young music students, the video helps viewers sort through basic data-interpretation concepts: measures of central tendency, levels of measurement, measures of dispersion, and graphs. A wide range of organization principles are covered, including mode, median, and mean; discrete and continuous data; nominal, ordinal, interval, and ratio data; standard deviation; and normal distribution. Animation and graphics clarify and reinforce each concept.

  1. Scientific Experiments: Cause and Effect01:17
  2. Generalizability, Reliability, and Validity03:12
  3. Measures of Central Tendency: Mode, Median, and Mean03:20
  4. Levels of Measurement: Nominal, Ordinal, and Interval05:57
  5. Measures of Dispersion: Range and Standard Deviation07:50
  6. Graphs: Normal Distributions06:23
  7. Discrete Data: Bar Chart, Pie Chart, Histogram03:22
  8. Continuous Data: Line Graphs and Skewed Distributions01:43
  9. Quantitative Data Quiz02:31

Description: Emma’s band wants to post a music video on YouTube, but they aren’t sure which of their songs should be featured. Emma’s best friend helps them choose by using Facebook contacts to conduct a survey, exploring the concepts of qualitative and quantitative data along the way. Viewers learn how to sample, present, and analyze data; generate histograms, frequency tables, stem and leaf plots; determine the interquartile range; and more. The video also defines random and nonrandom samples, dot and box plots, outliers, and other essential terms.

  1. Sampling Data02:45
  2. Data Types02:40
  3. Column Graphs, Dot Plots, and Histograms04:44
  4. Stem & Leaf Plots, Box Plots, and Summary Statistics05:48
  5. Summary of Sampling, Surveying, and Data Analysis02:09
  6. Credits: Sampling, Surveying, and Data Analysis00:23