I recently passed the 5th module in my quest for CCP (Certified Compensation Professional) via WorldatWork’s certification program. Past the halfway mark, with the toughest ones out-of-the-way, I can focus on the fun stuff like job analysis, documentation, and evaluation. Yippee!
I am not being sarcastic. I enjoy this stuff. Really.
What I don’t enjoy is cleaning house. Which is obvious to anyone who steps in the door.
Dust is my friend, dust is my friend, dust is my friend …
Last summer—in a moment of insanity—I bought new bedroom furniture. The insane part wasn’t buying the furniture because I’d had the same stuff for about 30 years and new furniture was way overdue.
The craziness was buying mahogany furniture with a black stain. Every, and I mean every, fleck of dust shows on every surface.
This stuff starts showing dust on the end of the dresser I just dusted by the time I get to the other end. And, I always know when my cat, Emily, walked across it because she leaves a trail of paw prints.
I could have bought the same set in white but was afraid it would show dirt too easily given Emily’s penchant for walking all over furniture.
So, in the spirit of “if you can’t beat ’em join ’em” I’ve decided I can live with shades of gray.
I draw the line, though, when it starts looking like it’s been sprinkled with baby powder. Dirty snow is not a good look.
I stopped by the grocery store in a rush a few days ago to pick up a few necessities. You know, eggs, bread, milk, the usual stuff.
This morning, I finished the last of the milk (the milk I already had) and reached in the fridge for the new milk, ripped the top off, and poured it right into the almost-full glass I already had.
Before I go any further with this narrative let me just say that I LOVE milk. A day without milk is like a day without sunshine in my book (sorry orange juice marketers) and breakfast without milk just isn’t right. It would be like crackers without cheese, a movie without popcorn, CSNY without Y. (It’s been years and I’m still not over that one.)
Next, I took a big gulp of my beloved milk and what to my wondering taste buds did appear?
I HATE buttermilk! Except in biscuits, of course. And, ranch dressing.
So, to the twit that stuck a jug of buttermilk in with the sweet acidophilus …
Very bad move.
On the brighter side, breakfast with Dr. Pepper ain’t too shabby.
But, what the heck am I going to do with a gallon of buttermilk?
Yep, I set up another blog even though I barely have time to spend on this one. Well, actually, I have time, I just like doing other things too.
You see, blogging just has a way of worming itself into the fabric of ones existence and making it impossible to do all the other things one likes to do. Unless, of course, one is diligent enough to exercise great control over the blogging impulse. Me? I got no control. I just blather on like an idiot in this blog and hope no one actually sees it. (Is no one one word or two? I forget.)
So, while I am somewhat able to curb the impulse to ramble on, here’s some info about my other blog:
It is work-related and offers helpful hints about managing organizational compensation (I think they’re helpful but you can decide for yourself.)
My company does know about it but can pull the plug so I can’t get too carried away with sharing comp info
I promise to keep the plugs for my company (BLR) to a minimum (At least until the marketing types find out about it. When that happens, all bets are off.)
Determining the minimum and maximum when only the midpoint is known . . .
When using survey data to determine the salary range for a position, you could use the 10th 50th and 90th percentiles as your minimum, midpoint, and maximum for the range. One of the problems with doing that, though, is that those points tend to fluctuate with the survey data so that you never really know what your range spread is from position to position.
There is a simple method for determining the min, mid, and max of your salary range when only the midpoint of the survey data is known. First, you have to decide whether you want to use the 50th percentile as your midpoint or use the mean of the salary data for the demographic elements you’ve selected. For this example, let’s use the mean shown below.
For example, in the last few months I’ve avoided cleaning my house. Yep, I know that’s not a good idea but I hate cleaning house. I’d rather go to the dentist than clean house and even though my dentist is a pretty nice fellow, he’s not someone I want to see more than twice a year, Which, come to think of it, is about how often I clean my house.
I didn’t used to be so adverse to house cleaning. When my daughter was younger and living at home, I cleaned like a fiend on a regular basis. By regular, I mean more than once a week. But these days it’s just me and the cat and, trust me, she doesn’t care. In fact, she hates the vacuum almost as much as I do and hides whenever she hears it coming.
So, for the record, my not cleaning is doing a good deed for Emily (the cat).
That’s my story and I’m sticking to it.
Psst, anybody know where I can find a cheap maid service?