Judging by media, blogosphere, and Wall Street reports in recent weeks, it’s tempting to assume that the so-called soft economic data – surveys of spending plans, expectations, etc. – have become disconnected from reality, defined by the hard data, such as payrolls, sales, and production.

Morgan Stanley, for example, recently advised that “there is a record gap between the strength of ‘hard’ and ‘soft’ US macro data.” But the devil’s in the details for quantifying this divide. In the case of Morgan Stanley’s provocative claim, the smoking gun is derived from the hard and soft components in the Bloomberg US Economic Surprise Index, which aggregates data from various sources.

But what’s true from a top-down perspective may not hold when crunching the numbers from the bottom up. Consider how US retail sales compare with the University of Michigan’s Consumer Sentiment Index, which jumped this month to a 17-year high. This buoyant mood implies that the economy (or at least retail spending) is on a tear. In fact, economists expect that the US economic growth will decelerate to a sluggish rate in next week’s first-quarter GDP report. Meantime, retail spending fell in February and March, posting the first back-to-back losses in more than a year. The gap between hard and soft data, in other words, seems to be wide and conspicuous.

Or is it? If we compare retail sales and the sentiment index through the same filter, the divergence fades quite a bit. Consider: retail spending touched a record high in January — $473.104 billion and the March update is only one-half of one-percent below that peak.

Misleading? Perhaps. Let’s dig deeper and strip out some of the short-term noise by comparing the consumer sentiment index and retail sales in rolling one-year percentage terms. By this definition, recent history doesn’t look all that unusual. Sentiment and spending have increased at similar rates for the past year: 6.5% and 5.2%, respectively.