Three exams are planned.

• The first will will have an analytical focus and utilize SPSS. For the SPSS exam the data file needed will be provided.
• The second will focus on conceptual information.
• The final exam is comprehensive and will consist of a set of multiple choice format items.

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Exam 1: Data Analysis in SPSS

Topics:

• Understand Measurement Scales (categorical, ordinal, interval, ratio)
• How to do error checks and deal with problems in data
• How to provide variable names, variable labels, and value labels
• Percentages (crosstabs, frequency distribution tables)
• Central Tendency & Variability (stats under frequencies menu, compare means menu)
• Percentiles & Percentile Ranks
• Correlation: PPMC, Phi, Kendall's Tau, Cramer's V
• Prediction
• Graphs: Bar Charts, Histograms, Scattergrams
• Validity, Reliability, & Objectivity of Scores
  • SEE, SEM
• Manipulating Data
  • Recode
  • Select Cases; split file
  • Compute New Variables

Note: Important to fully understand how to select appropriate statistics based on the level of measurement.

Helpful Resources

• Level of Meaurement & Statistics Table
• Outline of SPSS features

Don't forget to review the SPSS Guide and video demonstrations as you prepare for this exam.

 

 

Outline of topics on the second exam:

• Definitions
• Use of Norm-reference vs. Criterion-referenced standards
• Measurement scales: Categorical, Ordinal, Interval, Ratio
• Data Analysis
  • Percentages
  • Graphs
  • Central Tendency: Mode, Median, Mean
  • Variability: Range, Standard deviation
  • Percentiles, Percentile Ranks
  • Correlation, Prediction
• Cognitive Test Construction & Evaluation
  • Item Analysis: Dificulty Index, Disrimination Index
• Validity of Scores
  • Flow Chart
• Reliability of Scores
  • Flow Chart
• Objectivity of Scores
• Standard Error of Measurement
• Standard Error of Estimate

 

 

Outline of additional topics on the final exam:

Note: the exam is comprehensive. While the emphasis will be on new topics, you can expect to need all conceptual and analytical information covered during the course.

• Validity (flow chart) of classifications from Mastery Tests
• Reliability (flow chart) of classifications from Mastery Tests
• Psychomotor Assessment
• Affective Assessment (flow chart)
• Motor Skill Assessment (flow chart)
• Fitness Assessment
• Rating Scales
• Survey Design & Analysis
• Institutional & Program Assessment
• Standard Scores & Profiling
• Grading

 

 

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