What This Document Is
This resource is designed to help students prepare for an upcoming exam in Methods in Human Ecology Research (HDFS 2900) at The Ohio State University. It focuses specifically on the core concepts related to analyzing descriptive data – a foundational skill for understanding and interpreting research findings. This isn’t a complete course replacement, but a focused review of key areas likely to be assessed.
Why This Document Matters
Students enrolled in HDFS 2900 will find this particularly useful when studying for Exam 3. It’s ideal for those looking to solidify their understanding of statistical principles *before* the exam, identify areas where further review is needed, and ensure they’re familiar with the terminology and concepts emphasized in class. It’s best used in conjunction with lecture notes and assigned readings, serving as a concentrated study aid.
Topics Covered
* Distinctions between statistics and parameters
* Descriptive versus inferential statistics
* Measures of central tendency (mode, median, mean) and appropriate data types
* Data visualization techniques – when to use bar charts versus histograms
* Understanding data distribution, including skewness and modality
* The impact of extreme scores (outliers) on statistical measures
* Standard deviation and the normal distribution
* The role of intervention studies in establishing causal effects
What This Document Provides
* A focused overview of essential concepts in descriptive data analysis.
* Clarification of key definitions and terminology.
* Guidance on selecting appropriate statistical measures for different data types.
* Emphasis on concepts highlighted in course lectures regarding research methodology.
* A reminder of important points from Cowan & Cowan (2002) regarding intervention studies.
* A clear indication of the scope and format of the upcoming exam, including the breakdown of question types and point values.
