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COLLEGEVERSE RESEARCH · 49 ARTICLES

Data & College Choices

Understand the population, year and definition behind a number before using it to compare colleges.

Newest publications first · Page 1 of 5

Data145

An Interval for an Average Is Not an Interval for Your Own Outcome

A report can estimate a group average quite precisely while individual outcomes remain widely spread. The distinction matters when a student reads an earnings model, a cost projection or a travel-time estimate: an interval describing uncertainty about a mean is not automatically a range that predicts the individual student’s result.

Worked analysis
Data144

One Distant Data Point Can Tilt a College Comparison

A line drawn through a scatterplot can make a set of colleges appear to follow a simple rule. But a single observation far from the rest on the horizontal axis may have a large effect on that line. Before using the slope to guide a decision, ask how much it depends on that observation and whether it is comparable with the other institutions.

Worked analysis
Evaluation design139

An Improvement After an Extreme Result May Have More Than One Explanation

Use a fictional repeated-measure example to examine selection on an unusually low baseline.

Baseline-selection check
Statistical uncertainty138

Finding One Significant Difference Among Many Needs a Wider Check

Calculate a fictional multiple-testing example and distinguish a preplanned comparison from a selected result.

Multiple-comparison worksheet
Statistical uncertainty133

A Smaller Standard Error Does Not Mean Students Became More Similar

Separate individual variation from the sampling variability of a mean in a fictional study.

Spread-and-error worksheet
Probability reasoning132

Two Possible Offers Do Not Automatically Make a 75% Chance

Compare fictional joint outcomes with the same individual probabilities under different dependence assumptions.

Joint-outcome worksheet
Conditional comparisons127

The Share of Correct Flags Depends on How Common the Condition Is

Use fictional eligibility-screening counts to show why a flag does not establish an individual decision.

Screening-count worksheet
Ranking interpretation126

A Rank Can Change Because the Comparison Field Changed

Track a fictional institution and its comparison field before interpreting movement in rank.

Field-change audit
Distribution reading121

A Histogram Bin Can Hide a Gap Between Students

Re-bin an invented set of scores to show what grouped data can and cannot reveal.

Histogram bin worksheet
Data presentation120

Two Identical Trends Can Look Different When Chart Axes Change

Read a fictional pair of college charts by comparing values, axis ranges and units.

Axis-range check
Rates and denominators115

A Service Visit Rate Needs Both Events and Time at Risk

Use a fictional student-month denominator to compare service contact counts without treating repeat visits as unique students.

Student-time worksheet
Test interpretation114

A Percentile Rank Is Not the Percentage of Questions Correct

Use a fictional score distribution to separate a score, its reference group and a percentile rank.

Percentile worksheet
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