Data Set Name	WORK.NEWNAME	Observations	1350	
Member Type	DATA	Variables	4	
Engine	V9	Indexes	0	
Created	Sunday, May 11, 2014 06:26:08 PM	Observation Length	32	
Last Modified	Sunday, May 11, 2014 06:26:08 PM	Deleted Observations	0	
Protection		Compressed	NO	
Data Set Type		Sorted	NO	
Label				
Data Representation	WINDOWS_32			
Encoding	wlatin1  Western (Windows)			

Engine/Host Dependent Information	
Data Set Page Size	4096	
Number of Data Set Pages	12	
First Data Page	1	
Max Obs per Page	126	
Obs in First Data Page	82	
Number of Data Set Repairs	0	
Filename	C:\Users\Rich\AppData\Local\Temp\SAS Temporary Files\_TD5024_7XBRPJ1_\newname.sas7bdat	
Release Created	9.0301M0	
Host Created	W32_7PRO	

Alphabetic List of Variables and Attributes	
#	Variable	Type	Len	Format	Label	
1	ID	Num	8	BEST12.	ID	
2	MJ	Num	8	BEST12.	MJ	
4	NegUrg	Num	8	BEST12.	NegUrg	
3	Time	Num	8	BEST12.	Time	

Obs	ID	Time	NegUrg	MJ	
1	1	0	-0.58	0	
2	2	0	0.24	0	
3	3	0	0.13	1	
4	4	0	-0.53	0	
5	5	0	-1.33	0	
6	6	0	-0.56	0	
7	7	0	-0.3	0	
8	8	0	0.57	0	
9	9	0	0.68	0	
10	10	0	0.75	0	
11	11	0	-0.37	0	
12	12	0	-0.47	0	
13	13	0	0.14	0	
14	14	0	1.42	1	
15	15	0	0.97	0	
16	16	0	-1.43	0	
17	17	0	0.09	0	
18	18	0	0.94	1	
19	19	0	-0.29	0	
20	20	0	-0.91	0	
21	21	0	-0.92	0	
22	22	0	-0.19	0	
23	23	0	1.4	1	
24	24	0	-1.37	0	
25	25	0	-2.68	0	
26	26	0	0.49	1	
27	27	0	-0.17	0	
28	28	0	-0.62	0	
29	29	0	-1.03	0	
30	30	0	-0.85	0	
31	31	0	1.23	1	
32	32	0	0.41	0	
33	33	0	-0.22	0	
34	34	0	-0.7	0	
35	35	0	-0.25	0	
36	36	0	0.63	1	
37	37	0	-0.33	0	
38	38	0	0.68	0	
39	39	0	-1.52	0	
40	40	0	-0.55	0	
41	41	0	0.55	1	
42	42	0	1.28	0	
43	43	0	0.62	0	
44	44	0	-0.99	0	
45	45	0	0.96	0	
46	46	0	1.15	1	
47	47	0	1.52	0	
48	48	0	-0.58	0	
49	49	0	-1.43	0	
50	50	0	0.45	0	
51	51	0	-1.87	0	
52	52	0	-1.07	0	
53	53	0	-0.79	0	
54	54	0	0.66	0	
55	55	0	1.39	0	
56	56	0	0.4	0	
57	57	0	1.07	1	
58	58	0	-1.35	0	
59	59	0	1.36	0	
60	60	0	0.1	0	
61	61	0	-1.33	0	
62	62	0	-0.27	0	
63	63	0	0.15	0	
64	64	0	-1.54	0	
65	65	0	-0.49	0	
66	66	0	1.23	1	
67	67	0	-0.56	0	
68	68	0	-0.7	0	
69	69	0	0.11	0	
70	70	0	3.03	1	
71	71	0	0.46	1	
72	72	0	0.34	0	
73	73	0	0.47	1	
74	74	0	0.16	0	
75	75	0	-0.37	0	
76	76	0	0.05	0	
77	77	0	0.64	1	
78	78	0	-0.18	1	
79	79	0	-1	0	
80	80	0	1.07	0	
81	81	0	-1.76	0	
82	82	0	-0.49	0	
83	83	0	-1.57	0	
84	84	0	1.42	0	
85	85	0	-0.37	1	
86	86	0	-0.05	0	
87	87	0	-1.11	0	
88	88	0	-0.39	0	
89	89	0	-0.1	0	
90	90	0	-1.39	0	
91	91	0	0.38	1	
92	92	0	-0.64	0	
93	93	0	-0.2	0	
94	94	0	1.46	0	
95	95	0	1.66	1	
96	96	0	-0.63	0	
97	97	0	0.48	0	
98	98	0	-0.26	1	
99	99	0	0.16	0	
100	100	0	-1.15	0	
101	101	0	-0.2	0	
102	102	0	0.04	0	
103	103	0	0.1	1	
104	104	0	0.41	1	
105	105	0	-0.1	0	
106	106	0	-0.23	0	
107	107	0	0	0	
108	108	0	0.77	1	
109	109	0	-1.26	0	
110	110	0	0.24	0	
111	111	0	2.55	1	
112	112	0	1	0	
113	113	0	-0.1	0	
114	114	0	-0.55	0	
115	115	0	-1.13	0	
116	116	0	-1.9	0	
117	117	0	0.29	0	
118	118	0	0.63	0	
119	119	0	0.75	0	
120	120	0	-1.73	0	
121	121	0	1.73	1	
122	122	0	0.99	1	
123	123	0	1.14	0	
124	124	0	0.9	0	
125	125	0	-1.12	1	
126	126	0	1.11	0	
127	127	0	-0.99	0	
128	128	0	0.45	1	
129	129	0	0.35	0	
130	130	0	0.48	1	
131	131	0	-0.26	0	
132	132	0	-0.34	0	
133	133	0	-0.45	0	
134	134	0	-0.11	1	
135	135	0	-2.19	0	
136	136	0	-0.13	0	
137	137	0	-1.5	0	
138	138	0	0.07	1	
139	139	0	2.24	1	
140	140	0	-0.27	1	
141	141	0	-0.17	0	
142	142	0	-0.39	0	
143	143	0	0.98	0	
144	144	0	-0.15	1	
145	145	0	-0.67	0	
146	146	0	0.42	0	
147	147	0	-0.75	0	
148	148	0	0.63	0	
149	149	0	0.68	0	
150	150	0	1.2	0	
151	151	0	-0.19	0	
152	152	0	-1.17	0	
153	153	0	0.55	0	
154	154	0	0.71	0	
155	155	0	-0.48	0	
156	156	0	0.4	1	
157	157	0	0.32	0	
158	158	0	-1.23	0	
159	159	0	-1.55	0	
160	160	0	0.51	1	
161	161	0	1.65	0	
162	162	0	-0.3	0	
163	163	0	0.61	0	
164	164	0	0.2	0	
165	165	0	0.25	0	
166	166	0	1.65	0	
167	167	0	-0.99	0	
168	168	0	0.32	0	
169	169	0	-0.51	0	
170	170	0	-0.19	0	
171	171	0	0.26	0	
172	172	0	-1.37	0	
173	173	0	-2.04	0	
174	174	0	-0.46	0	
175	175	0	0.78	0	
176	176	0	-0.23	0	
177	177	0	-0.56	0	
178	178	0	-1.82	0	
179	179	0	-0.31	0	
180	180	0	-1.16	0	
181	181	0	0.96	0	
182	182	0	0.63	0	
183	183	0	0.07	0	
184	184	0	-0.23	1	
185	185	0	-0.35	0	
186	186	0	-1.5	0	
187	187	0	-0.19	0	
188	188	0	1.78	1	
189	189	0	-0.54	0	
190	190	0	-1.12	0	
191	191	0	0.07	0	
192	192	0	1.3	1	
193	193	0	0.61	0	
194	194	0	-1.09	0	
195	195	0	0.27	0	
196	196	0	-0.25	0	
197	197	0	-0.8	0	
198	198	0	1.27	0	
199	199	0	-0.56	0	
200	200	0	-1.6	0	
201	201	0	0.82	0	
202	202	0	-0.93	0	
203	203	0	-0.95	0	
204	204	0	-1.65	0	
205	205	0	0.27	0	
206	206	0	-0.45	0	
207	207	0	-1.42	0	
208	208	0	-1.17	0	
209	209	0	-0.08	0	
210	210	0	0.52	1	
211	211	0	-1.3	0	
212	212	0	0.45	0	
213	213	0	-0.08	1	
214	214	0	0.75	0	
215	215	0	0.62	0	
216	216	0	-1.32	0	
217	217	0	2.27	1	
218	218	0	-0.67	0	
219	219	0	-0.94	0	
220	220	0	-0.18	1	
221	221	0	-1.59	0	
222	222	0	0.39	0	
223	223	0	0.25	0	
224	224	0	0.13	0	
225	225	0	0.25	0	
226	226	0	0.69	0	
227	227	0	1.11	1	
228	228	0	0.88	1	
229	229	0	0.59	0	
230	230	0	-0.49	0	
231	231	0	0.49	0	
232	232	0	-0.4	0	
233	233	0	0.8	0	
234	234	0	1.89	1	
235	235	0	0.49	0	
236	236	0	1.1	0	
237	237	0	-0.68	0	
238	238	0	0.29	0	
239	239	0	-0.08	0	
240	240	0	-0.45	0	
241	241	0	-0.31	0	
242	242	0	-0.77	0	
243	243	0	-1.62	0	
244	244	0	0.17	0	
245	245	0	0.63	0	
246	246	0	0.58	1	
247	247	0	1.32	1	
248	248	0	0.82	0	
249	249	0	0.52	1	
250	250	0	1.01	1	
251	251	0	-0.23	0	
252	252	0	0.54	0	
253	253	0	1.56	0	
254	254	0	0.59	0	
255	255	0	0.57	0	
256	256	0	-0.51	0	
257	257	0	0.7	0	
258	258	0	-0.16	0	
259	259	0	0.94	1	
260	260	0	1.55	0	
261	261	0	0.52	1	
262	262	0	-0.16	0	
263	263	0	0.81	0	
264	264	0	0.99	0	
265	265	0	0.93	0	
266	266	0	0.69	0	
267	267	0	-0.05	1	
268	268	0	-1.63	0	
269	269	0	-0.03	0	
270	270	0	-0.38	1	
271	271	0	-0.55	0	
272	272	0	0.17	1	
273	273	0	-0.94	1	
274	274	0	0.96	0	
275	275	0	0.16	0	
276	276	0	-0.24	0	
277	277	0	0.36	0	
278	278	0	1.54	1	
279	279	0	0.86	1	
280	280	0	-0.72	0	
281	281	0	-0.97	0	
282	282	0	-0.04	1	
283	283	0	0.87	0	
284	284	0	0.67	1	
285	285	0	-0.41	0	
286	286	0	-0.6	1	
287	287	0	-1.23	0	
288	288	0	-0.36	0	
289	289	0	0.66	1	
290	290	0	-0.78	0	
291	291	0	1.72	1	
292	292	0	0.02	0	
293	293	0	0.78	1	
294	294	0	-0.88	0	
295	295	0	0.27	0	
296	296	0	-1.3	0	
297	297	0	-1.01	0	
298	298	0	-1.04	0	
299	299	0	-0.23	0	
300	300	0	0.85	0	
301	301	0	1.56	0	
302	302	0	1.3	0	
303	303	0	-1.07	0	
304	304	0	-0.81	0	
305	305	0	-1.35	0	
306	306	0	1.35	0	
307	307	0	-0.15	0	
308	308	0	0.84	0	
309	309	0	0.82	0	
310	310	0	0.22	0	
311	311	0	-0.08	0	
312	312	0	0.25	0	
313	313	0	0.44	0	
314	314	0	0.34	0	
315	315	0	1.7	1	
316	316	0	0.28	0	
317	317	0	1.14	1	
318	318	0	0.01	1	
319	319	0	0.15	0	
320	320	0	0.11	0	
321	321	0	-0.22	0	
322	322	0	-0.28	0	
323	323	0	-0.15	0	
324	324	0	0.75	0	
325	325	0	1.92	1	
326	326	0	1.49	1	
327	327	0	1.39	1	
328	328	0	1.45	0	
329	329	0	-0.66	0	
330	330	0	-1.5	0	
331	331	0	-1.05	0	
332	332	0	-1.16	0	
333	333	0	-0.55	0	
334	334	0	0.5	0	
335	335	0	0.82	0	
336	336	0	-0.28	1	
337	337	0	-1.53	0	
338	338	0	-0.52	0	
339	339	0	1.39	0	
340	340	0	-0.98	0	
341	341	0	-0.29	1	
342	342	0	0.53	1	
343	343	0	-0.97	0	
344	344	0	-0.45	0	
345	345	0	0.09	0	
346	346	0	0.69	0	
347	347	0	-1.4	0	
348	348	0	-1.47	0	
349	349	0	2.38	0	
350	350	0	-0.65	0	
351	351	0	0.53	0	
352	352	0	-1.76	0	
353	353	0	0.17	0	
354	354	0	-0.65	0	
355	355	0	-0.83	0	
356	356	0	0.65	0	
357	357	0	0.67	1	
358	358	0	-0.37	0	
359	359	0	-1	0	
360	360	0	1.09	0	
361	361	0	-0.64	0	
362	362	0	-0.37	0	
363	363	0	1.68	1	
364	364	0	0.78	0	
365	365	0	-0.84	0	
366	366	0	0.71	0	
367	367	0	-0.47	0	
368	368	0	0.15	0	
369	369	0	-0.64	0	
370	370	0	0.83	0	
371	371	0	0.08	0	
372	372	0	0.11	1	
373	373	0	-1.22	1	
374	374	0	0.77	0	
375	375	0	-0.05	0	
376	376	0	1.93	0	
377	377	0	1.19	0	
378	378	0	-0.56	0	
379	379	0	-0.07	1	
380	380	0	1.31	0	
381	381	0	-1	0	
382	382	0	-1.09	1	
383	383	0	0.06	0	
384	384	0	0.4	0	
385	385	0	-0.75	1	
386	386	0	0.64	0	
387	387	0	-0.59	0	
388	388	0	0.82	1	
389	389	0	-0.53	0	
390	390	0	0.65	0	
391	391	0	1.34	1	
392	392	0	2.37	1	
393	393	0	0.44	0	
394	394	0	-2.49	0	
395	395	0	-1.19	0	
396	396	0	-0.98	0	
397	397	0	0.22	0	
398	398	0	-0.87	0	
399	399	0	0.45	1	
400	400	0	-0.31	0	
401	401	0	0.19	1	
402	402	0	-0.85	0	
403	403	0	0.36	0	
404	404	0	0.76	0	
405	405	0	1.36	0	
406	406	0	0.11	0	
407	407	0	0.84	1	
408	408	0	-0.42	1	
409	409	0	-0.62	0	
410	410	0	-1.02	0	
411	411	0	1.58	1	
412	412	0	-0.25	0	
413	413	0	1.4	1	
414	414	0	0.67	0	
415	415	0	-0.21	1	
416	416	0	-1.21	0	
417	417	0	0.45	0	
418	418	0	-0.86	0	
419	419	0	1.03	1	
420	420	0	0.93	1	
421	421	0	-0.34	0	
422	422	0	-0.14	0	
423	423	0	-0.68	0	
424	424	0	0	0	
425	425	0	0.48	0	
426	426	0	1.13	0	
427	427	0	-0.75	1	
428	428	0	-0.66	0	
429	429	0	0.33	0	
430	430	0	-0.18	0	
431	431	0	-0.28	1	
432	432	0	1.09	0	
433	433	0	0.68	0	
434	434	0	0	0	
435	435	0	-0.82	0	
436	436	0	1.13	0	
437	437	0	-1.08	0	
438	438	0	0.87	1	
439	439	0	1.25	0	
440	440	0	-0.06	0	
441	441	0	1.9	0	
442	442	0	1.58	0	
443	443	0	0.19	0	
444	444	0	0.13	0	
445	445	0	0.16	0	
446	446	0	-1.35	0	
447	447	0	0.12	0	
448	448	0	1.04	1	
449	449	0	1.28	0	
450	450	0	1.2	0	
451	451	0	0.17	0	
452	452	0	0.44	1	
453	453	0	1.09	0	
454	454	0	0.99	0	
455	455	0	0.64	0	
456	456	0	1.72	0	
457	457	0	-0.74	1	
458	458	0	-0.25	1	
459	459	0	-1.22	0	
460	460	0	-0.4	0	
461	461	0	-0.38	0	
462	462	0	-1.04	0	
463	463	0	-0.74	1	
464	464	0	0.28	0	
465	465	0	-0.84	0	
466	466	0	-1.06	0	
467	467	0	0.38	0	
468	468	0	-0.65	0	
469	469	0	-0.84	1	
470	470	0	0.31	0	
471	471	0	1.16	0	
472	472	0	0.49	0	
473	473	0	-1.03	0	
474	474	0	-0.97	0	
475	475	0	0.54	0	
476	476	0	0.14	1	
477	477	0	-1.47	0	
478	478	0	1.26	1	
479	479	0	0.38	0	
480	480	0	-0.86	0	
481	481	0	0.42	0	
482	482	0	1.03	0	
483	483	0	-1.07	0	
484	484	0	-1.35	0	
485	485	0	-0.2	0	
486	486	0	1.88	1	
487	487	0	1.1	0	
488	488	0	1.05	0	
489	489	0	1.84	1	
490	490	0	1.92	1	
491	491	0	-0.33	0	
492	492	0	-0.16	0	
493	493	0	-0.11	0	
494	494	0	0	0	
495	495	0	-0.27	0	
496	496	0	0.51	0	
497	497	0	1.38	0	
498	498	0	-0.21	0	
499	499	0	-1.25	1	
500	500	0	1.92	1	
501	1	1	-0.58	0	
502	2	1	0.24	0	
503	3	1	0.13	1	
504	4	1	-0.53	0	
505	5	1	-1.33	0	
506	6	1	-0.56	1	
507	7	1	-0.3	0	
508	8	1	0.57	0	
509	9	1	0.68	0	
510	10	1	0.75	1	
511	11	1	-0.37	0	
512	12	1	-0.47	0	
513	13	1	0.14	0	
514	14	1	1.42	1	
515	15	1	0.97	0	
516	16	1	-1.43	0	
517	17	1	0.09	0	
518	18	1	0.94	0	
519	19	1	-0.29	0	
520	20	1	-0.91	0	
521	21	1	-0.92	0	
522	22	1	-0.19	0	
523	23	1	1.4	1	
524	24	1	-1.37	0	
525	25	1	-2.68	0	
526	26	1	0.49	0	
527	27	1	-0.17	0	
528	28	1	-0.62	0	
529	29	1	-1.03	0	
530	30	1	-0.85	1	
531	31	1	1.23	1	
532	32	1	0.41	1	
533	33	1	-0.22	0	
534	34	1	-0.7	0	
535	35	1	-0.25	0	
536	36	1	0.63	1	
537	37	1	-0.33	1	
538	38	1	0.68	1	
539	39	1	-1.52	0	
540	40	1	-0.55	1	
541	41	1	0.55	1	
542	42	1	1.28	0	
543	43	1	0.62	0	
544	44	1	-0.99	0	
545	45	1	0.96	1	
546	46	1	1.15	0	
547	47	1	1.52	1	
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549	49	1	-1.43	1	
550	50	1	0.45	1	
551	51	1	-1.87	0	
552	52	1	-1.07	1	
553	53	1	-0.79	0	
554	54	1	0.66	1	
555	55	1	1.39	0	
556	56	1	0.4	0	
557	57	1	1.07	1	
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559	59	1	1.36	0	
560	60	1	0.1	0	
561	61	1	-1.33	0	
562	62	1	-0.27	0	
563	63	1	0.15	1	
564	64	1	-1.54	0	
565	65	1	-0.49	0	
566	66	1	1.23	1	
567	67	1	-0.56	1	
568	68	1	-0.7	0	
569	69	1	0.11	0	
570	70	1	3.03	1	
571	71	1	0.46	1	
572	72	1	0.34	0	
573	73	1	0.47	1	
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575	75	1	-0.37	0	
576	76	1	0.05	0	
577	77	1	0.64	0	
578	78	1	-0.18	1	
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580	80	1	1.07	1	
581	81	1	-1.76	0	
582	82	1	-0.49	1	
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584	84	1	1.42	1	
585	85	1	-0.37	0	
586	86	1	-0.05	0	
587	87	1	-1.11	0	
588	88	1	-0.39	1	
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590	90	1	-1.39	0	
591	91	1	0.38	0	
592	92	1	-0.64	0	
593	93	1	-0.2	0	
594	94	1	1.46	1	
595	95	1	1.66	1	
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597	97	1	0.48	1	
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599	99	1	0.16	1	
600	100	1	-1.15	0	
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602	102	1	0.04	0	
603	103	1	0.1	1	
604	104	1	0.41	1	
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606	106	1	-0.23	1	
607	107	1	0	0	
608	108	1	0.77	1	
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610	110	1	0.24	0	
611	111	1	2.55	0	
612	112	1	1	0	
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615	115	1	-1.13	0	
616	116	1	-1.9	0	
617	117	1	0.29	1	
618	118	1	0.63	1	
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620	120	1	-1.73	0	
621	121	1	1.73	0	
622	122	1	0.99	0	
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624	124	1	0.9	0	
625	125	1	-1.12	0	
626	126	1	1.11	0	
627	127	1	-0.99	0	
628	128	1	0.45	0	
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630	130	1	0.48	0	
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632	132	1	-0.34	0	
633	133	1	-0.45	0	
634	134	1	-0.11	1	
635	135	1	-2.19	0	
636	136	1	-0.13	1	
637	137	1	-1.5	0	
638	138	1	0.07	1	
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640	140	1	-0.27	0	
641	141	1	-0.17	0	
642	142	1	-0.39	0	
643	143	1	0.98	0	
644	144	1	-0.15	1	
645	145	1	-0.67	0	
646	146	1	0.42	0	
647	147	1	-0.75	0	
648	148	1	0.63	0	
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650	150	1	1.2	0	
651	151	1	-0.19	0	
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653	153	1	0.55	0	
654	154	1	0.71	0	
655	155	1	-0.48	0	
656	156	1	0.4	1	
657	157	1	0.32	0	
658	158	1	-1.23	0	
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660	160	1	0.51	1	
661	161	1	1.65	0	
662	162	1	-0.3	1	
663	163	1	0.61	0	
664	164	1	0.2	0	
665	165	1	0.25	0	
666	166	1	1.65	1	
667	167	1	-0.99	0	
668	168	1	0.32	0	
669	169	1	-0.51	0	
670	170	1	-0.19	1	
671	171	1	0.26	0	
672	172	1	-1.37	0	
673	173	1	-2.04	0	
674	174	1	-0.46	1	
675	175	1	0.78	0	
676	176	1	-0.23	0	
677	177	1	-0.56	1	
678	178	1	-1.82	0	
679	179	1	-0.31	0	
680	180	1	-1.16	0	
681	181	1	0.96	1	
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683	183	1	0.07	1	
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686	186	1	-1.5	0	
687	187	1	-0.19	0	
688	188	1	1.78	1	
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690	190	1	-1.12	0	
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692	192	1	1.3	0	
693	193	1	0.61	0	
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696	196	1	-0.25	0	
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698	198	1	1.27	1	
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700	200	1	-1.6	0	
701	201	1	0.82	0	
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703	203	1	-0.95	0	
704	204	1	-1.65	0	
705	205	1	0.27	1	
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707	207	1	-1.42	0	
708	208	1	-1.17	0	
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710	210	1	0.52	1	
711	211	1	-1.3	0	
712	212	1	0.45	1	
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714	214	1	0.75	0	
715	215	1	0.62	1	
716	216	1	-1.32	0	
717	217	1	2.27	1	
718	218	1	-0.67	0	
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720	220	1	-0.18	0	
721	221	1	-1.59	0	
722	222	1	0.39	0	
723	223	1	0.25	1	
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725	225	1	0.25	1	
726	226	1	0.69	0	
727	227	1	1.11	0	
728	228	1	0.88	1	
729	229	1	0.59	0	
730	230	1	-0.49	0	
731	231	1	0.49	0	
732	232	1	-0.4	0	
733	233	1	0.8	1	
734	234	1	1.89	1	
735	235	1	0.49	0	
736	236	1	1.1	0	
737	237	1	-0.68	0	
738	238	1	0.29	1	
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740	240	1	-0.45	0	
741	241	1	-0.31	0	
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743	243	1	-1.62	0	
744	244	1	0.17	1	
745	245	1	0.63	1	
746	246	1	0.58	1	
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748	248	1	0.82	0	
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750	250	1	1.01	1	
751	251	1	-0.23	0	
752	252	1	0.54	0	
753	253	1	1.56	1	
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755	255	1	0.57	0	
756	256	1	-0.51	0	
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758	258	1	-0.16	0	
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760	260	1	1.55	0	
761	261	1	0.52	1	
762	262	1	-0.16	0	
763	263	1	0.81	0	
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765	265	1	0.93	0	
766	266	1	0.69	0	
767	267	1	-0.05	1	
768	268	1	-1.63	0	
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770	270	1	-0.38	1	
771	271	1	-0.55	0	
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773	273	1	-0.94	0	
774	274	1	0.96	1	
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776	276	1	-0.24	0	
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778	278	1	1.54	1	
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780	280	1	-0.72	0	
781	281	1	-0.97	0	
782	282	1	-0.04	0	
783	283	1	0.87	0	
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785	285	1	-0.41	0	
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788	288	1	-0.36	0	
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790	290	1	-0.78	0	
791	291	1	1.72	1	
792	292	1	0.02	0	
793	293	1	0.78	1	
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796	296	1	-1.3	0	
797	297	1	-1.01	0	
798	298	1	-1.04	0	
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800	300	1	0.85	1	
801	301	1	1.56	0	
802	302	1	1.3	1	
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804	304	1	-0.81	0	
805	305	1	-1.35	0	
806	306	1	1.35	1	
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808	308	1	0.84	0	
809	309	1	0.82	0	
810	310	1	0.22	0	
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812	312	1	0.25	0	
813	313	1	0.44	0	
814	314	1	0.34	0	
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816	316	1	0.28	0	
817	317	1	1.14	1	
818	318	1	0.01	0	
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821	321	1	-0.22	0	
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825	325	1	1.92	0	
826	326	1	1.49	1	
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830	330	1	-1.5	0	
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832	332	1	-1.16	0	
833	333	1	-0.55	0	
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838	338	1	-0.52	0	
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840	340	1	-0.98	0	
841	341	1	-0.29	0	
842	342	1	0.53	0	
843	343	1	-0.97	0	
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846	346	1	0.69	1	
847	347	1	-1.4	0	
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850	350	1	-0.65	0	
851	351	1	0.53	0	
852	352	1	-1.76	0	
853	353	1	0.17	1	
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855	355	1	-0.83	0	
856	356	1	0.65	1	
857	357	1	0.67	0	
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860	360	1	1.09	0	
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864	364	1	0.78	0	
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866	366	1	0.71	0	
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870	370	1	0.83	1	
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877	377	1	1.19	1	
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880	380	1	1.31	0	
881	381	1	-1	0	
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884	384	1	0.4	1	
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888	388	1	0.82	1	
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891	391	1	1.34	1	
892	392	1	2.37	1	
893	393	1	0.44	1	
894	394	1	-2.49	1	
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896	396	1	-0.98	0	
897	397	1	0.22	1	
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901	401	1	0.19	0	
902	402	1	-0.85	0	
903	403	1	0.36	1	
904	404	1	0.76	1	
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906	406	1	0.11	1	
907	407	1	0.84	1	
908	408	1	-0.42	0	
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910	410	1	-1.02	1	
911	411	1	1.58	1	
912	412	1	-0.25	0	
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920	420	1	0.93	0	
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924	424	1	0	0	
925	425	1	0.48	1	
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930	430	1	-0.18	0	
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932	432	1	1.09	1	
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937	437	1	-1.08	0	
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940	440	1	-0.06	0	
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950	450	1	1.2	0	
951	1	2	-0.58	0	
952	2	2	0.24	0	
953	3	2	0.13	1	
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955	5	2	-1.33	0	
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958	8	2	0.57	1	
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960	10	2	0.75	1	
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963	13	2	0.14	0	
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967	17	2	0.09	0	
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978	28	2	-0.62	0	
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980	30	2	-0.85	0	
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990	40	2	-0.55	1	
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994	44	2	-0.99	0	
995	45	2	0.96	0	
996	46	2	1.15	1	
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1000	50	2	0.45	0	
1001	51	2	-1.87	0	
1002	52	2	-1.07	1	
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1004	54	2	0.66	1	
1005	55	2	1.39	0	
1006	56	2	0.4	1	
1007	57	2	1.07	1	
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1013	63	2	0.15	1	
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1016	66	2	1.23	0	
1017	67	2	-0.56	1	
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1020	70	2	3.03	1	
1021	71	2	0.46	1	
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1024	74	2	0.16	0	
1025	75	2	-0.37	0	
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1034	84	2	1.42	1	
1035	85	2	-0.37	0	
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1038	88	2	-0.39	1	
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1040	90	2	-1.39	0	
1041	91	2	0.38	1	
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1050	100	2	-1.15	0	
1051	101	2	-0.2	0	
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1057	107	2	0	0	
1058	108	2	0.77	0	
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1062	112	2	1	1	
1063	113	2	-0.1	1	
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1065	115	2	-1.13	0	
1066	116	2	-1.9	0	
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1068	118	2	0.63	1	
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1070	120	2	-1.73	0	
1071	121	2	1.73	1	
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1073	123	2	1.14	0	
1074	124	2	0.9	0	
1075	125	2	-1.12	0	
1076	126	2	1.11	0	
1077	127	2	-0.99	1	
1078	128	2	0.45	1	
1079	129	2	0.35	0	
1080	130	2	0.48	1	
1081	131	2	-0.26	0	
1082	132	2	-0.34	0	
1083	133	2	-0.45	0	
1084	134	2	-0.11	0	
1085	135	2	-2.19	0	
1086	136	2	-0.13	1	
1087	137	2	-1.5	0	
1088	138	2	0.07	1	
1089	139	2	2.24	1	
1090	140	2	-0.27	1	
1091	141	2	-0.17	0	
1092	142	2	-0.39	1	
1093	143	2	0.98	0	
1094	144	2	-0.15	1	
1095	145	2	-0.67	0	
1096	146	2	0.42	0	
1097	147	2	-0.75	0	
1098	148	2	0.63	1	
1099	149	2	0.68	1	
1100	150	2	1.2	1	
1101	151	2	-0.19	0	
1102	152	2	-1.17	0	
1103	153	2	0.55	1	
1104	154	2	0.71	0	
1105	155	2	-0.48	1	
1106	156	2	0.4	0	
1107	157	2	0.32	0	
1108	158	2	-1.23	0	
1109	159	2	-1.55	0	
1110	160	2	0.51	0	
1111	161	2	1.65	0	
1112	162	2	-0.3	1	
1113	163	2	0.61	0	
1114	164	2	0.2	0	
1115	165	2	0.25	0	
1116	166	2	1.65	1	
1117	167	2	-0.99	0	
1118	168	2	0.32	1	
1119	169	2	-0.51	0	
1120	170	2	-0.19	1	
1121	171	2	0.26	1	
1122	172	2	-1.37	0	
1123	173	2	-2.04	0	
1124	174	2	-0.46	0	
1125	175	2	0.78	0	
1126	176	2	-0.23	1	
1127	177	2	-0.56	1	
1128	178	2	-1.82	0	
1129	179	2	-0.31	0	
1130	180	2	-1.16	0	
1131	181	2	0.96	0	
1132	182	2	0.63	0	
1133	183	2	0.07	1	
1134	184	2	-0.23	0	
1135	185	2	-0.35	0	
1136	186	2	-1.5	1	
1137	187	2	-0.19	0	
1138	188	2	1.78	1	
1139	189	2	-0.54	1	
1140	190	2	-1.12	0	
1141	191	2	0.07	1	
1142	192	2	1.3	1	
1143	193	2	0.61	1	
1144	194	2	-1.09	0	
1145	195	2	0.27	1	
1146	196	2	-0.25	0	
1147	197	2	-0.8	0	
1148	198	2	1.27	1	
1149	199	2	-0.56	0	
1150	200	2	-1.6	0	
1151	201	2	0.82	1	
1152	202	2	-0.93	0	
1153	203	2	-0.95	1	
1154	204	2	-1.65	0	
1155	205	2	0.27	1	
1156	206	2	-0.45	0	
1157	207	2	-1.42	0	
1158	208	2	-1.17	0	
1159	209	2	-0.08	1	
1160	210	2	0.52	1	
1161	211	2	-1.3	0	
1162	212	2	0.45	0	
1163	213	2	-0.08	0	
1164	214	2	0.75	0	
1165	215	2	0.62	1	
1166	216	2	-1.32	1	
1167	217	2	2.27	1	
1168	218	2	-0.67	0	
1169	219	2	-0.94	0	
1170	220	2	-0.18	0	
1171	221	2	-1.59	1	
1172	222	2	0.39	0	
1173	223	2	0.25	1	
1174	224	2	0.13	0	
1175	225	2	0.25	0	
1176	226	2	0.69	0	
1177	227	2	1.11	0	
1178	228	2	0.88	1	
1179	229	2	0.59	0	
1180	230	2	-0.49	0	
1181	231	2	0.49	0	
1182	232	2	-0.4	0	
1183	233	2	0.8	0	
1184	234	2	1.89	1	
1185	235	2	0.49	1	
1186	236	2	1.1	0	
1187	237	2	-0.68	0	
1188	238	2	0.29	1	
1189	239	2	-0.08	1	
1190	240	2	-0.45	0	
1191	241	2	-0.31	0	
1192	242	2	-0.77	0	
1193	243	2	-1.62	0	
1194	244	2	0.17	0	
1195	245	2	0.63	1	
1196	246	2	0.58	1	
1197	247	2	1.32	1	
1198	248	2	0.82	0	
1199	249	2	0.52	0	
1200	250	2	1.01	1	
1201	251	2	-0.23	0	
1202	252	2	0.54	0	
1203	253	2	1.56	1	
1204	254	2	0.59	0	
1205	255	2	0.57	0	
1206	256	2	-0.51	0	
1207	257	2	0.7	0	
1208	258	2	-0.16	0	
1209	259	2	0.94	0	
1210	260	2	1.55	1	
1211	261	2	0.52	1	
1212	262	2	-0.16	0	
1213	263	2	0.81	1	
1214	264	2	0.99	0	
1215	265	2	0.93	0	
1216	266	2	0.69	0	
1217	267	2	-0.05	0	
1218	268	2	-1.63	0	
1219	269	2	-0.03	0	
1220	270	2	-0.38	0	
1221	271	2	-0.55	0	
1222	272	2	0.17	0	
1223	273	2	-0.94	0	
1224	274	2	0.96	0	
1225	275	2	0.16	0	
1226	276	2	-0.24	0	
1227	277	2	0.36	1	
1228	278	2	1.54	0	
1229	279	2	0.86	1	
1230	280	2	-0.72	0	
1231	281	2	-0.97	0	
1232	282	2	-0.04	0	
1233	283	2	0.87	0	
1234	284	2	0.67	1	
1235	285	2	-0.41	0	
1236	286	2	-0.6	0	
1237	287	2	-1.23	0	
1238	288	2	-0.36	0	
1239	289	2	0.66	1	
1240	290	2	-0.78	0	
1241	291	2	1.72	1	
1242	292	2	0.02	0	
1243	293	2	0.78	0	
1244	294	2	-0.88	0	
1245	295	2	0.27	0	
1246	296	2	-1.3	0	
1247	297	2	-1.01	0	
1248	298	2	-1.04	0	
1249	299	2	-0.23	0	
1250	300	2	0.85	1	
1251	301	2	1.56	1	
1252	302	2	1.3	0	
1253	303	2	-1.07	0	
1254	304	2	-0.81	0	
1255	305	2	-1.35	0	
1256	306	2	1.35	1	
1257	307	2	-0.15	0	
1258	308	2	0.84	0	
1259	309	2	0.82	1	
1260	310	2	0.22	1	
1261	311	2	-0.08	0	
1262	312	2	0.25	0	
1263	313	2	0.44	0	
1264	314	2	0.34	1	
1265	315	2	1.7	1	
1266	316	2	0.28	0	
1267	317	2	1.14	1	
1268	318	2	0.01	0	
1269	319	2	0.15	0	
1270	320	2	0.11	0	
1271	321	2	-0.22	0	
1272	322	2	-0.28	1	
1273	323	2	-0.15	0	
1274	324	2	0.75	1	
1275	325	2	1.92	0	
1276	326	2	1.49	1	
1277	327	2	1.39	1	
1278	328	2	1.45	0	
1279	329	2	-0.66	0	
1280	330	2	-1.5	0	
1281	331	2	-1.05	0	
1282	332	2	-1.16	0	
1283	333	2	-0.55	0	
1284	334	2	0.5	1	
1285	335	2	0.82	1	
1286	336	2	-0.28	0	
1287	337	2	-1.53	0	
1288	338	2	-0.52	0	
1289	339	2	1.39	1	
1290	340	2	-0.98	1	
1291	341	2	-0.29	0	
1292	342	2	0.53	0	
1293	343	2	-0.97	0	
1294	344	2	-0.45	0	
1295	345	2	0.09	1	
1296	346	2	0.69	0	
1297	347	2	-1.4	0	
1298	348	2	-1.47	0	
1299	349	2	2.38	1	
1300	350	2	-0.65	1	
1301	351	2	0.53	0	
1302	352	2	-1.76	0	
1303	353	2	0.17	0	
1304	354	2	-0.65	0	
1305	355	2	-0.83	1	
1306	356	2	0.65	0	
1307	357	2	0.67	1	
1308	358	2	-0.37	0	
1309	359	2	-1	0	
1310	360	2	1.09	1	
1311	361	2	-0.64	1	
1312	362	2	-0.37	1	
1313	363	2	1.68	0	
1314	364	2	0.78	0	
1315	365	2	-0.84	0	
1316	366	2	0.71	0	
1317	367	2	-0.47	0	
1318	368	2	0.15	0	
1319	369	2	-0.64	0	
1320	370	2	0.83	0	
1321	371	2	0.08	0	
1322	372	2	0.11	0	
1323	373	2	-1.22	1	
1324	374	2	0.77	0	
1325	375	2	-0.05	0	
1326	376	2	1.93	0	
1327	377	2	1.19	1	
1328	378	2	-0.56	0	
1329	379	2	-0.07	0	
1330	380	2	1.31	0	
1331	381	2	-1	0	
1332	382	2	-1.09	0	
1333	383	2	0.06	0	
1334	384	2	0.4	1	
1335	385	2	-0.75	0	
1336	386	2	0.64	0	
1337	387	2	-0.59	0	
1338	388	2	0.82	0	
1339	389	2	-0.53	1	
1340	390	2	0.65	1	
1341	391	2	1.34	0	
1342	392	2	2.37	1	
1343	393	2	0.44	1	
1344	394	2	-2.49	0	
1345	395	2	-1.19	0	
1346	396	2	-0.98	0	
1347	397	2	0.22	1	
1348	398	2	-0.87	0	
1349	399	2	0.45	1	
1350	400	2	-0.31	0	

Variable	Label	N	Minimum	Lower Quartile	Median	Upper Quartile	Maximum	Mean	Std Dev	Skewness	
Time
NegUrg
MJ	Time
NegUrg
MJ	1350
1350
1350	0.00
-2.68
0.00	0.00
-0.63
0.00	1.00
0.04
0.00	2.00
0.68
1.00	2.00
3.03
1.00	0.93
0.03
0.28	0.81
0.94
0.45	0.14
0.06
0.98	

Table of MJ by negurgstratum	
MJ(MJ)	negurgstratum	
Frequency
Percent
Row Pct
Col Pct	0	1	2	Total	
0	105
21.00
26.79
91.30	207
41.40
52.81
80.54	80
16.00
20.41
62.50	392
78.40

1	10
2.00
9.26
8.70	50
10.00
46.30
19.46	48
9.60
44.44
37.50	108
21.60

Total	115
23.00	257
51.40	128
25.60	500
100.00	

Statistics for Table of MJ by negurgstratum	

Statistic	DF	Value	Prob	
Chi-Square	2	31.1153	<.0001	
Likelihood Ratio Chi-Square	2	31.2100	<.0001	
Mantel-Haenszel Chi-Square	1	30.0779	<.0001	
Phi Coefficient		0.2495		
Contingency Coefficient		0.2420		
Cramer's V		0.2495		

Sample Size = 500	

Table of MJ by negurgstratum	
MJ(MJ)	negurgstratum	
Frequency
Percent
Row Pct
Col Pct	0	1	2	Total	
0	94
20.89
30.03
93.07	161
35.78
51.44
68.80	58
12.89
18.53
50.43	313
69.56

1	7
1.56
5.11
6.93	73
16.22
53.28
31.20	57
12.67
41.61
49.57	137
30.44

Total	101
22.44	234
52.00	115
25.56	450
100.00	

Statistics for Table of MJ by negurgstratum	

Statistic	DF	Value	Prob	
Chi-Square	2	46.2884	<.0001	
Likelihood Ratio Chi-Square	2	52.3665	<.0001	
Mantel-Haenszel Chi-Square	1	45.7264	<.0001	
Phi Coefficient		0.3207		
Contingency Coefficient		0.3054		
Cramer's V		0.3207		

Sample Size = 450	

Table of MJ by negurgstratum	
MJ(MJ)	negurgstratum	
Frequency
Percent
Row Pct
Col Pct	0	1	2	Total	
0	81
20.25
30.45
88.04	139
34.75
52.26
65.88	46
11.50
17.29
47.42	266
66.50

1	11
2.75
8.21
11.96	72
18.00
53.73
34.12	51
12.75
38.06
52.58	134
33.50

Total	92
23.00	211
52.75	97
24.25	400
100.00	

Statistics for Table of MJ by negurgstratum	

Statistic	DF	Value	Prob	
Chi-Square	2	35.0505	<.0001	
Likelihood Ratio Chi-Square	2	37.7027	<.0001	
Mantel-Haenszel Chi-Square	1	34.8091	<.0001	
Phi Coefficient		0.2960		
Contingency Coefficient		0.2838		
Cramer's V		0.2960		

Sample Size = 400	

Model Information	
Data Set	WORK.NEWNAME	
Response Variable	MJ	
Response Distribution	Binomial	
Link Function	Logit	
Variance Function	Default	
Variance Matrix	Diagonal	
Estimation Technique	Maximum Likelihood	
Degrees of Freedom Method	Residual	

Class Level Information	
Class	Levels	Values	
ID	500	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500	
negurgstratum	3	0 1 2	

Number of Observations Read	1350	
Number of Observations Used	1350	

Dimensions	
Columns in X	6	
Columns in Z	0	
Subjects (Blocks in V)	1	
Max Obs per Subject	1350	

Optimization Information	
Optimization Technique	Newton-Raphson	
Parameters in Optimization	6	
Lower Boundaries	0	
Upper Boundaries	0	
Fixed Effects	Not Profiled	

Iteration History	
Iteration	Restarts	Evaluations	Objective
Function	Change	Max
Gradient	
0	0	4	736.03339972	.	15.99866	
1	0	3	733.66858449	2.36481524	0.972848	
2	0	3	733.64485015	0.02373433	0.018774	
3	0	3	733.64483822	0.00001194	0.00001	
4	0	4	733.64483822	0.00000000	7.936E-6	

Convergence criterion (GCONV=1E-8) satisfied.	

Fit Statistics	
-2 Log Likelihood	1467.29	
AIC  (smaller is better)	1479.29	
AICC (smaller is better)	1479.35	
BIC  (smaller is better)	1510.54	
CAIC (smaller is better)	1516.54	
HQIC (smaller is better)	1490.99	
Pearson Chi-Square	1349.09	
Pearson Chi-Square / DF	1.00	

Parameter Estimates	
Effect	negurgstratum	Estimate	Standard Error	DF	t Value	Pr > |t|	
negurgstratum	0	-2.4795	0.3179	1344	-7.80	<.0001	
negurgstratum	1	-1.3264	0.1386	1344	-9.57	<.0001	
negurgstratum	2	-0.4531	0.1668	1344	-2.72	0.0067	
Time*negurgstratum	0	0.1815	0.2424	1344	0.75	0.4542	
Time*negurgstratum	1	0.3750	0.1049	1344	3.58	0.0004	
Time*negurgstratum	2	0.3143	0.1361	1344	2.31	0.0211	

Type III Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
negurgstratum	3	1344	53.27	<.0001	
Time*negurgstratum	3	1344	6.23	0.0003	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	
High vs low freshman	2.0264	0.3590	1344	5.64	<.0001	
High vs low sophomore	2.1592	0.2270	1344	9.51	<.0001	
High vs low junior	2.2919	0.3589	1344	6.39	<.0001	

Model Information	
Data Set	WORK.NEWNAME	
Response Variable	MJ	
Response Distribution	Binomial	
Link Function	Logit	
Variance Function	Default	
Variance Matrix Blocked By	ID	
Estimation Technique	Maximum Likelihood	
Likelihood Approximation	Laplace	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
ID	500	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500	
negurgstratum	3	0 1 2	

Number of Observations Read	1350	
Number of Observations Used	1350	

Dimensions	
G-side Cov. Parameters	1	
Columns in X	6	
Columns in Z per Subject	1	
Subjects (Blocks in V)	500	
Max Obs per Subject	3	

Optimization Information	
Optimization Technique	Dual Quasi-Newton	
Parameters in Optimization	7	
Lower Boundaries	1	
Upper Boundaries	0	
Fixed Effects	Not Profiled	
Starting From	GLM estimates	

Iteration History	
Iteration	Restarts	Evaluations	Objective
Function	Change	Max
Gradient	
0	0	4	1460.4344128	.	42.9757	
1	0	3	1448.3572762	12.07713661	36.48789	
2	0	2	1440.9701378	7.38713840	20.36937	
3	0	3	1437.3451897	3.62494815	12.42232	
4	0	3	1435.2362769	2.10891279	13.07804	
5	0	2	1433.1766502	2.05962671	6.882888	
6	0	3	1432.442593	0.73405719	3.712065	
7	0	3	1432.2508388	0.19175422	1.262162	
8	0	3	1432.2073451	0.04349369	0.565213	
9	0	3	1432.2061597	0.00118537	0.161635	
10	0	3	1432.2060177	0.00014198	0.008957	
11	0	3	1432.2060171	0.00000058	0.003594	

Convergence criterion (GCONV=1E-8) satisfied.	

Fit Statistics	
-2 Log Likelihood	1432.21	
AIC  (smaller is better)	1446.21	
AICC (smaller is better)	1446.29	
BIC  (smaller is better)	1475.71	
CAIC (smaller is better)	1482.71	
HQIC (smaller is better)	1457.78	

Fit Statistics for Conditional Distribution	
-2 log L(MJ | r. effects)	1074.05	
Pearson Chi-Square	885.53	
Pearson Chi-Square / DF	0.66	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	Standard Error	
UN(1,1)	ID	1.2456	0.3290	

Solutions for Fixed Effects	
Effect	negurgstratum	Estimate	Standard Error	DF	t Value	Pr > |t|	
negurgstratum	0	-2.9656	0.3689	847	-8.04	<.0001	
negurgstratum	1	-1.6720	0.1859	847	-8.99	<.0001	
negurgstratum	2	-0.5848	0.2156	847	-2.71	0.0068	
Time*negurgstratum	0	0.2225	0.2538	847	0.88	0.3810	
Time*negurgstratum	1	0.4632	0.1193	847	3.88	0.0001	
Time*negurgstratum	2	0.4116	0.1576	847	2.61	0.0092	

Type III Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
negurgstratum	3	847	44.19	<.0001	
Time*negurgstratum	3	847	7.39	<.0001	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	
High vs low freshman	2.3808	0.4195	847	5.68	<.0001	
High vs low sophomore	2.5699	0.3046	847	8.44	<.0001	
High vs low junior	2.7590	0.4327	847	6.38	<.0001	

Model Information	
Data Set	WORK.NEWNAME	
Response Variable	MJ	
Response Distribution	Binomial	
Link Function	Logit	
Variance Function	Default	
Variance Matrix Blocked By	ID	
Estimation Technique	Maximum Likelihood	
Likelihood Approximation	Laplace	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
ID	500	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500	

Number of Observations Read	1350	
Number of Observations Used	1350	

Dimensions	
G-side Cov. Parameters	1	
Columns in X	4	
Columns in Z per Subject	1	
Subjects (Blocks in V)	500	
Max Obs per Subject	3	

Optimization Information	
Optimization Technique	Dual Quasi-Newton	
Parameters in Optimization	5	
Lower Boundaries	1	
Upper Boundaries	0	
Fixed Effects	Not Profiled	
Starting From	GLM estimates	

Iteration History	
Iteration	Restarts	Evaluations	Objective
Function	Change	Max
Gradient	
0	0	4	1426.0552003	.	68.43166	
1	0	3	1409.9962486	16.05895168	38.96493	
2	0	3	1404.2910759	5.70517263	36.94898	
3	0	2	1401.6585447	2.63253124	31.89599	
4	0	2	1397.7296159	3.92892882	22.2938	
5	0	2	1392.1742309	5.55538500	15.53688	
6	0	3	1391.3804499	0.79378102	5.949244	
7	0	3	1391.3136342	0.06681567	0.887413	
8	0	3	1391.3032089	0.01042529	0.243693	
9	0	3	1391.3029409	0.00026797	0.096556	
10	0	3	1391.3029193	0.00002162	0.009246	
11	0	3	1391.302919	0.00000030	0.0026	

Convergence criterion (GCONV=1E-8) satisfied.	

Fit Statistics	
-2 Log Likelihood	1391.30	
AIC  (smaller is better)	1401.30	
AICC (smaller is better)	1401.35	
BIC  (smaller is better)	1422.38	
CAIC (smaller is better)	1427.38	
HQIC (smaller is better)	1409.57	

Fit Statistics for Conditional Distribution	
-2 log L(MJ | r. effects)	1093.39	
Pearson Chi-Square	944.95	
Pearson Chi-Square / DF	0.70	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	Standard Error	
UN(1,1)	ID	0.9766	0.2923	

Solutions for Fixed Effects	
Effect	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept	-1.7364	0.1501	498	-11.56	<.0001	
NegUrg	1.0781	0.1500	848	7.19	<.0001	
Time	0.4203	0.09476	848	4.44	<.0001	
NegUrg*Time	0.02515	0.1052	848	0.24	0.8111	

Type III Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
NegUrg	1	848	51.68	<.0001	
Time	1	848	19.68	<.0001	
NegUrg*Time	1	848	0.06	0.8111	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	
High vs low freshman	2.1562	0.2999	848	7.19	<.0001	
High vs low sophomore	2.2065	0.2195	848	10.05	<.0001	
High vs low junior	2.2569	0.3080	848	7.33	<.0001