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Momentum Analysis: Updated Momentum Groups & Course Load Combinations

This memo describes the momentum course load analysis with updated momentum categories as well as an exploration of course load combinations in the first year. This analysis is modeled after Belfield, Jenkins, and Lahr (2016).

First-term momentum students refers to those attempting at least 15 hours in their first term; these students’ outcomes are compared to those who took only 12-14 hours in their first term. First-year momentum students attempted at least 30 hours in their first year (fall, spring, summer) and are compared to students who attempted less than 30 hours in their first year. All analyses described in this memo are based on cohorts of first time freshmen in 2008, 2009, 2010, and 2011 and are limited to students who took at least 12 hours in their first term. The momentum year analysis excludes first time freshmen that were not enrolled for the full academic year (fall and spring or fall, spring, and summer).

It is important to note that the change in definition of momentum term/year led to a difference in the make-up of the groups. At the outset of this analysis, I defined course load groups as non-momentum: 11-13 hours in the first term (less than 27 in the first year) and momentum: 14+ in the first term (27 or more in the first year). There were 25,866 first-time freshmen who attempted 14 credit hours in their first term who are now included in the non-momentum group. In addition, there were 3,968 first-time freshmen who attempted 11 credit hours in the first term who are no longer included in this analysis.

Table 1. Comparison of Updated Momentum Groups

11-13 hrs

14+ hrs

12-14 hrs

15+ hrs

59,465

88,264

81,363

62,398

Overall, the results of this updated analysis are consistent with the findings resulting from the former definitions of momentum. When accounting for the differences between students who choose to take 15+ hours versus 12-14 hours in the first term, I find that first-term momentum students are 6 percentage points more likely to graduate in six years than students who attempt 12-14 credit hours in the first semester. Likewise, first-term momentum students earn 7 more credit hours within six years compared to non-momentum students, when controlling for baseline differences between the two groups. Larger effects are found for first-year momentum students: students taking at least 30 credits in their first year are 13 percentage points more likely to graduate and earn 16 more credit hours on average in six years than students taking less than 30 credits in the first year. Results vary somewhat across sector.

I also explored outcomes associated with various combinations of first and second term course load. It seems that students are better off on average when they attempt 15 or more hours in both the fall and spring terms of their first year. Interestingly, students who attempt 12-14 hours in the first fall and then 15 or more hours in the following spring term are perform better on average than students who start out with a momentum course load (15 or more in the first term) and then take a non-momentum course load in the second term.

Descriptive Information

Students attempting at least 15 credit hours in the first term maintain their momentum through 18 terms of enrollment and earn more credits compared to students taking fewer hours in the first term (Figure 1). For example, in their ninth term, momentum term students earned an average of 63.3 credit hours, whereas students attempting 12-14 hours in the first term did not reach 63 hours earned until their 11th semester. Note: the first 18 terms in Figure 1 include summer semesters.

Figure 1. Average Cumulative Hours Earned in 18 Terms by 1st Term Course Load

Table 2 shows the student characteristics for first-term momentum versus non-momentum students. While there are similarities in student characteristics across both groups, it should be noted that there is a greater proportion of Pell recipients and slightly smaller proportion of HOPE recipients among the non- momentum students. Additionally, the non-momentum students have lower HS GPA and SAT scores on average than momentum students. The baseline differences between the first-term momentum and non-momentum students are somewhat diminished compared to the former momentum definition (11- 13 and 14+).

Table 2. Comparison of Means by First Term Course Load

 

12-14 hrs

15+ hrs

Female

55.8%

52.7%

Black

21.8%

24.7%

Hispanic

5.5%

5.0%

Asian

5.4%

7.3%

White

61.3%

57.3%

Other race

6.0%

5.7%

Received Pell in 1st term

38.1%

35.3%

Received HOPE in 1st term

56.6%

57.8%

HS GPA

3.22

3.28

SAT math

536

553

SAT verbal

532

543

ACT composite

23

23

Instate

93.2%

90.8%

  N                                                       

81,363           

62,398     

The data presented in Table 3 suggest that most of the first-term momentum students are also first-year momentum students: 74 percent of students who took at least 15 hours in the first term also attempted

at least 30 hours in the first year. Similarly, non-momentum term students are also non-momentum year students1. This pattern is consistent across sectors.

Tables 4a and 4b compare credit hours attempted and earned at certain points in time for momentum and non-momentum students. First-term momentum students earn approximately 89 percent of their attempted credits in the first term, while non-momentum students earn 88 percent. First-year momentum students, on the other hand, earn about 94 percent of their attempted hours in the first term while non-momentum year students earn about 88 percent of their first term attempted credits.

Regression Results (Table 5)

According to the logistic and OLS regression models in Tables 5a and 5b, students taking a first-term momentum course load (15+ credits) are 6.2 percentage points more likely to graduate within six years (p < 0.001) compared to non-momentum students. Students taking a first-year momentum course load (30+ credits) are 12.0 percentage points more likely to graduate within six years (p < 0.001). Likewise, first-term momentum students earn 7.5 more credit hours on average (p < 0.001) than non-momentum students, while first-year momentum students earn 15 more credit hours on average (p < 0.001). Across all of the regression models, larger effects are observed at comprehensive and state universities and smaller effects are observed at research universities and state colleges. It may be the case that students at research universities already have a higher likelihood of graduating in the first place so that initial course load does not make as much of a difference. At state colleges, a smaller percentage of students were counted as momentum students (30 percent compared to 40-50 percent in the other sectors), which may have resulted in a smaller effect than seen in the other sectors.

Propensity Score Matching Results (Table 6)

To better compare momentum and non-momentum students, I used propensity score matching (PSM) to estimate the average treatment effect of taking at least 15 credit hours in the first semester compared to taking 12-14 credits as well as the effect of taking at least 30 hours in the first year relative to less than 30 hours in the first year. According to the average treatment effect presented in Table 6, students are 6.1 percentage points more likely to graduate within six years if they attempt at least 15 credits in the first term compared to only 12-14 credits (p < 0.001). Likewise, students are 13.0 percentage points more likely to graduate if they attempt at least 30 credits in the first year instead of less than 30 hours (p < 0.001). Students earn 7.2 more credit hours on average within six years if they take at least 15 hours in the first term compared to only 12-14 credit hours (p < 0.001) and earn 16.4 more credit hours on average if they attempt at least 30 credit hours in the first year compared to less than 30 hours. As with the regression results, effects vary across sector such that larger effects emerge in comprehensive and state universities and smaller effects are observed at research universities and state colleges.

Course Load Combinations in the First Year (Table 7)

Given the differences in magnitude of effect of first-term momentum versus first-year momentum, it seems that students with a cumulative momentum year course load outperform non-momentum year

1 This is somewhat different from the analysis that defined momentum as 14 or more credits and non-momentum as 11-13 credits. In the former analysis, 40-50 percent of the non-momentum students attempted a momentum course load within the first year (with the exception of the state colleges).

students, regardless of first-term momentum status. To better understand the importance of timing the momentum course load, I explored graduation and credit accumulation for various combinations of course loads through the first academic year (fall, spring, summer). I primarily focused on the fall-spring combinations (12-14 and 12-14, 12-14 and 15+, 15+ and 12-14, and 15+, 15+) presented in Table 7, but I also examined the first term/first year combinations provided in Table 10 (12-14 and <30, 12-14 and 30+, 15+ and <30, 15+ and 30+).

The students who attempted a momentum course load in both the fall and spring terms were by far better off than any other course load combination. Fall-spring momentum students earned 95 percent of their attempted hours in the first term, earned an average of 97.3 credit hours in six years, and had a six-year graduation rate of 68.0 percent. Interestingly, the group with the next best outcomes are those that took 12-14 hours in the fall and at least 15 in the spring—they earned 96 percent of the hours attempted in their first term, earned on average 91.9 credit hours within six years, and 63.7 percent students graduated in six years. Students with a momentum course load in the fall but a non- momentum course load in the spring performed worse than students who took a momentum course load in the spring: they earned only 88 percent of their first-term attempted hours, earned an average of 84.4 hours in six years, and 55.4 percent graduated in six years. It may be the case that the students who earned a greater portion of their attempted hours in the first term felt more confident to take the same amount or more hours in the next term. Moreover, this initial success is associated with better long-term outcomes.

It is important to note that there are some demographic and academic differences across the four course load groups (Table 8). In particular, a greater percent of the students who took 12-14 hours in the fall and spring received Pell compared to the students who took at least 15 in both terms.

Additionally, students taking 12-14 in both terms had lower high school GPA, SAT, and ACT scores on average compared to the students taking at least 15 in both terms.

Similar patterns emerge across sectors (Table 9) and when looking at the course load across the first year (Table 10).

While the most favorable outcomes are observed for those who take double momentum course loads, it seems to be more important for students to end the first year with momentum rather than simply begin the year with momentum. Moreover, students who are likely earn a smaller portion of their attempted credits might be better off staring the fall term with 12-14 hours and then moving toward momentum course loads in the spring and summer terms.

Table 3. First Term and First Year Course Load by Sector

  Research Universities 12-14 hrs
(1st term)
15+ hrs
(1st term)
12-14 hrs
(1st term)
15+ hrs
(1st term)

 

#

%

#

%

#

%

#

%

#

%

#

%

< 30 hrs (1st year)

51,969

70%

15,157

26%

18,864

72%

5,658

30%

13,075

66%

4,884

23%

30+ hrs (1st year)

22,557

30%

43,593

74%

7,319

28%

13,504

70%

6,679

34%

15,963

77%

N

74,526

100%

58,750

100%

26,183

100%

19,162

100%

19,754

100%

20,847

100%

 

  State Colleges

 

  12-14 hrs
(1st term)
15+ hrs
(1st term)

 

#

%

#

%

#

%

#

%

< 30 hrs (1st year)

11,436

67%

3,192

23%

8,594

75%

1,423

28%

30+ hrs (1st year)

5,717

33%

10,486

77%

2,842

25%

3,640

72%

N

17,153

100%

13,678

100%

11,436

100%

5,063

100%

Note: Students who were not enrolled for the full first academic year (fall and spring or fall, spring, and summer) are excluded

Table 4a. Average Credit Hours Attempted and Earned by First Term Course Load and Sector

All Institutions

Research

Comprehensive

State Universities

State Colleges

 

12-14 hrs

15+ hrs

12-14 hrs

15+ hrs

12-14 hrs

15+ hrs

12-14 hrs

15+ hrs

12-14 hrs

15+ hrs

N

81,363

62,398

27,374

19,821

21,214

21,892

19,159

14,752

13,616

5,933

Table 4b. Average Credit Hours Attempted and Earned by First Year Course Load and Sector

All Institutions

Research

Comprehensive

State Universities

State Colleges

 

< 30 hrs

30+ hrs

< 30 hrs

30+ hrs

< 30 hrs

30+ hrs

< 30 hrs

30+ hrs

< 30 hrs

30+ hrs

hours attempted term 1

13.5

15.9

13.5

15.8

13.5

15.9

13.4

15.9

13.2

16.4

hours attempted term 9

61.4

79.2

71.7

87.9

60.1

79.1

56.0

76.1

46.3

59.7

hours attempted term 18

85.2

106.8

99.9

118.0

89.4

111.3

76.6

102.2

54.3

67.0

N

67,126

66,150

24,522

20,823

17,959

22,642

14,628

16,203

10,017

6,482

Notes: All students attempted at least 12 hours in their first term; Table 4b excludes students who were not enrolled for the full first academic year (fall and spring or fall, spring, and summer).

Table 5a.
Logistic Regression Models Estimating the Impact of Momentum Course Load Likelihood of Earning Any Degree Within 6 Years (marginal effects presented)

 

All Institutions

Research

Comprehensive

State Universities

State Colleges

(15+ hours in 1st term)

 

0.0615

 

0.0137

 

0.0889

 

0.0931

 

0.0602

 

(0.003)

(0.004)

(0.005)

(0.006)

(0.008)

First-year Momentum

N

106,922

38,967

32,085

24,451

11,419

Table 5b. OLS Regression Estimates for Impact of Momentum Course Load on Cumulative hours earned within 6 years

 

All Institutions

Research

Comprehensive

State Universities

State Colleges

N

112,891

39,627

33,617

26,480

13,167

N

105,728

38,405

31,687

24,230

11,406

significant at p < 0.001.

Table 6. Propensity Score Matching Estimates of Momentum Course Load Effects on Likelihood of Earning a Degree and Hours Earned within Six Years

 

All Institutions

Research

Comprehensive

State Universities

State Colleges

Earning any degree within 6 years

First-term Momentum: 15+ hours in 1st term v. 12-14 hrs

Av. Treatment effect

0.061

0.015

0.087

0.095

0.063

 

(0.003)

(0.004)

(0.005)

(0.006)

(0.009)

Av. Treatment effect on the treated

0.061

0.013

0.089

0.093

0.074

 

(0.003)

(0.005)

(0.006)

(0.006)

(0.009)

First-year Momentum: 30+ hours in the 1st year v. < 30 hrs

Av. Treatment effect

0.130

0.054

0.184

0.175

0.141

 

(0.003)

(0.004)

(0.006)

(0.006)

(0.009)

Av. Treatment effect on the treated

0.134

0.060

0.182

0.175

0.140

 

(0.003)

(0.005)

(0.006)

(0.007)

(0.010)

Cumulative hours earned within 6 years

First-term Momentum: 15+ hours in 1st term v. 12-14 hrs

Av. Treatment effect

7.1

4.5

8.7

9.8

3.7

 

(0.260)

(0.380)

(0.519)

(0.588)

(0.629)

Av. Treatment effect on the treated

7.2

4.6

8.7

9.8

4.0

 

(0.279)

(0.394)

(0.539)

(0.628)

(0.647)

First-year Momentum: 30+ hours in the 1st year v. < 30 hrs

Av. Treatment effect

16.0

10.5

20.0

21.0

11.8

 

(0.256)

(0.371)

(0.517)

(0.581)

(0.613)

Av. Treatment effect on the treated

16.4

14.0

19.7

27.0

11.1

 

(0.280)

(0.424)

(0.539)

(0.599)

(0.653)

Notes: propensity scores were matched based on the nearest neighbor matching algorithm using teffects psmatch in stata; robust standard errors are in parentheses; the momentum term course load is attempting at least 15 credit hours in the first semester and the control group is students who attempted 12 to 14 hours in the first semester; the momentum year course load is attempting at least 30 credit hours in the first year and the control group is students who attempted less than 30 hours in the first year (these models are limited to those who took at least 12 credits in the first term); data includes cohorts of first time freshmen in fall 2008, 2009, 2010, and 2011; variables used to create PS matches include gender, race, financial aid in the first term (Pell and HOPE), HS GPA, SAT score, and residency status; for momentum year models, students who were only enrolled in the fall term of their first year were excluded; all treatment effects are significant at p < 0.001

Table 7. Selected Outcomes by First and Second Term Course Load

 

12-14 hrs (1st spring)

15+ hrs (1st spring)

Av. Hours attempted in term 1

 

12-14 hrs (1st fall)

12.8

13.2

Av. Hours earned in term 1

11.6

12.6

% grad in 6 yrs

48.2%

63.7%

Av. Hours earned in term 18 (6 yrs)

75.9

91.9

N

40,895

23,584

Av. Hours attempted in term 1

 

15+ hrs (1st fall)

17.1

16.5

Av. Hours earned in term 1

15.1

15.6

% grad in 6 yrs

55.4%

68.0%

Av. Hours earned in term 18 (6 yrs)

84.4

97.3

N

22,973

30,175

Note: Students who took less than 12 in spring (n = 12,354) are excluded; only students enrolled for a full first academic year are included (fall and spring, or fall, spring, and summer)

Table 8. Comparison of Means by First and Second Term Course Load

 

12-14 in

both terms

12-14 in fall,

15+ in spring

15+ in fall,

12-14 in spring

15+ in both terms

Female

55.0%

58.2%

51.7%

53.2%

Black

21.0%

22.9%

24.8%

24.7%

Hispanic

5.5%

5.3%

5.1%

5.0%

Asian

4.8%

7.3%

5.4%

9.2%

White

62.8%

58.8%

59.1%

55.7%

Other race

5.9%

5.7%

5.6%

5.4%

Instate

94.3%

91.4%

93.1%

88.5%

Received Pell in 1st term

39.4%

34.8%

36.9%

33.0%

Received HOPE in 1st term

58.5%

62.2%

59.6%

59.9%

HS GPA

3.22

3.31

3.26

3.32

SAT math

532

550

546

562

SAT verbal

529

543

540

547

ACT composite

22

23

23

23

N

40,895

23,584

22,973

30,175

Note: Students who took less than 12 in spring (n = 12,354) are excluded; only students enrolled for a full first academic year are included (fall and spring, or fall, spring, and summer)

Table 9. Graduation Rates and Credit Accumulation by First and Second Term Course Load and Sector

Research Universities

12-14 hrs (1st spring)

15+ hrs (1st spring)

% grad in 6 yrs

12-14 hrs (1st fall)

67.2%

77.2%

Av. Hours earned in term 18 (6 yrs)

93.0

103.8

% grad in 6 yrs

15+ hrs (1stfall)

70.9%

76.5%

Av. Hours earned in term 18 (6 yrs)

99.1

106.9

Comprehensive Universities

12-14 hrs (1st spring)

15+ hrs (1st spring)

% grad in 6 yrs

12-14 hrs (1st fall)

46.9%

61.7%

Av. Hours earned in term 18 (6 yrs)

79.2

92.7

% grad in 6 yrs

15+ hrs (1stfall)

52.0%

69.9%

Av. Hours earned in term 18 (6 yrs)

84.6

100.3

State Universities

12-14 hrs (1st spring)

15+ hrs (1st spring)

% grad in 6 yrs

12-14 hrs (1st fall)

38.8%

58.2%

Av. Hours earned in term 18 (6 yrs)

68.4

87.8

% grad in 6 yrs

15+ hrs (1stfall)

46.9%

61.9%

Av. Hours earned in term 18 (6 yrs)

76.1

91.9

State Colleges

12-14 hrs (1st spring)

15+ hrs (1st spring)

% grad in 6 yrs

12-14 hrs (1st fall)

26.7%

36.0%

Av. Hours earned in term 18 (6 yrs)

48.8

57.0

% grad in 6 yrs

15+ hrs (1stfall)

34.6%

41.1%

Av. Hours earned in term 18 (6 yrs)

52.6

57.0

Note: Students who took less than 12 in spring (n = 12,354) are excluded; only students enrolled for a full first academic year are included (fall and spring, or fall, spring, and summer)

Table 10. Outcomes by First Term and First Year Course Load

 

<30 hrs (1st fall, spring,

summer)

30+ hrs (1st fall, spring,

summer)

Av. Hours attempted in term 1

 

12-14 hrs (1st fall)

12.8

13.2

Av. Hours earned in term 1

11.4

12.7

% grad in 6 yrs

50.0%

66.4%

Av. Hours earned in term 18 (6 yrs)

73.3

93.1

N

50,339

22,512

Av. Hours attempted in term 1

 

15+ hrs (1st fall)

15.4

17.3

Av. Hours earned in term 1

13.0

16.1

% grad in 6 yrs

50.6%

67.9%

Av. Hours earned in term 18 (6 yrs)

75.0

95.1

N

13,647

43,483

Note: Only students enrolled for a full first academic year are included (fall and spring, or fall, spring, and summer); includes data for all institutions.

author: 
Lori Hagood, Ph.D., Research Associate, University System of Georgia, Research and Policy Analysis.