Hl ll relationship goals

9 Relationship Goals All Couples Should Aspire To

hl ll relationship goals

Following, Posts - See Instagram photos and videos from Relationship Goals (k❤ ) (@jingle-bells.infogs) Image may contain: 2 people, text. In this article, I'll discuss each of the topics covered in IB Standard Level Explain that a demand curve represents the relationship between the price .. Explain the goal of profit maximization where the difference between. Couple is a more intimate way to share your life and the best way to stay in touch with your favorite person: it's free, it's fun, and it's completely private! Couple.

Two scales of achievement goals were included in all three surveys: The mastery goals scale assessed a personal focus on learning and competence development in the learning of the course, completion of an assignment and preparation for examination. Five items were included in Time 1. In Time 3, five items were included in the scale of performance-approach goals for examination preparation but one of them was dropped in order to improve the reliability score for this construct.

Four items made up the performance-approach goal construct in Time 3. The original questionnaire in Time 1, 2 and 3 also included items assessing performance-avoidance goals, which were not included in the subsequent analyses due to low reliability. Learning strategies in the Time 1, 2 and 3 surveys included two contrasting scales: In contrast, the deep strategies construct included strategies that promote deep learning and encourage effort expenditure. Items assessing these two contrasting types of strategies in Time 1 and 3 were adapted from the Learning Approach Questionnaire Biggs, while Time 2 items were taken from Ng Each surface and deep strategy scale in Time 1, 2, and 3 included five items.

Five items taken from Ng were included in the construct of regulatory strategies for completing an assignment. Two achievement variables assessed the learning outcomes. Results Table 1 shows the means, standard deviations and reliability scores for the variables in Time 1, 2 and 3. Table 2 shows the results of correlation analyses.

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These adaptive goals were negatively related to the use of surface strategies across the three data collection points.

These relational patterns were consistent with those found among campus-based students e. Performance-approach goals appeared to be adaptive in this study. These goals for performance demonstration were related positively to self-efficacy, learning interest, and the use of deep and regulatory strategies across Time 1, 2 and 3 but a negative relationship was found between these goals and surface strategies. Person-Centred Analyses Following Pintrichthis study used the median split technique to classify learners into different groups of goal users.

To address the concern that median split may impose an artificial structure without considering the underlying structure of the data, the current study used cluster analysis and discriminant function analyses to verify the membership of the learner groups produced by the median split technique. Using the median scores 3. The resulting cluster solution located four clusters of learners with similar goal properties to the groups derived from the median split technique.

Comparing the membership of corresponding groups produced by these two classification methods, Only seven learners had been classified differently.

Further, a discriminant function analysis significantly predicted the membership in these four groups derived from the median split technique using mastery and performance-approach goals as predictors. According to this significant discriminant function, It can be concluded that the groupings of learners produced by the median split technique were valid.

The membership in corresponding groups was then compared across three waves. It can then be concluded that the groupings based on Time 1 data were stable over the whole academic year. These four groups did not differ in gender composition. The age factor was taken as a covariate in the subsequent analyses.

Mixed ANOVAs were conducted using strategies, self-efficacy and interest as within factors, groups as between-group factor, and the age factor was entered as a covariate. Standardised scores were used in these analyses. The main effects time and group and two-way interactions were examined. Table 3 shows the descriptive statistics for these four goal user groups in Time 1, 2 and 3. In particular, the group differences were found in Time 3 where the LL group had the highest scores in surface strategies and HL had the lowest scores; the HH and LH groups were not different from each other in the use of surface strategies.

hl ll relationship goals

However, both time and time x group interactive effects were not significant. The HH group had the highest scores in the use of deep strategies followed by the HL group across three surveys. Both LH and LL groups had a similar low level in the use of deep strategies. However, this significant group effect was qualified by a significant time x group interaction, Huynh-Feldt F 5.

An identical pattern was found again by the end of the year. When completing the assignment, the HH group had the highest level of deep strategies. The HL group, however, experienced a significant drop in the use of deep strategies when completing the assignment in Time 2.

The HH group used more regulatory strategies than did the other three groups in Time 1, 2, and 3. The main effect on time and time x group interactive effect were nonsignificant.

A significant time x group effect indicates that such a differential pattern varied with time, Huynh-Feldt F 5. As shown in Figure 2, the HH group had higher levels of efficacy beliefs than did the other three groups in Time 1, 2 and 3. A significant time x group interaction qualified this group differential pattern, Huynh-Feldt F 5. In Time 2, the LH group had greater interest in completing the assignment. The four groups did not differ from one another on achievement scores.

In other words, they had similar scores in their assignments in Time 2 and examination in Time 3. This intriguing result will be discussed in the next section. Discussion The research question in this study focused on the differential patterns of learning and achievement associated with distance learners holding different types of goals at three different points of learning during an academic year.

A key comparison can be made between distance learners who were high in both mastery and performance-approach goals HH and those high in mastery goals but low in performance-approach goals HL. According to the multiple goal perspective, the HH group should show a more adaptive pattern in the use of strategies, levels of efficacy and learning interest in Time 1, 2 and 3. Aligning with previous studies Ng, the current results favoured the HH group over the HL group. While the two groups showed similar levels in their interest in learning and endorsed a similar level of deep strategies at the beginning and end of the academic year, the HH learners were more efficacious and used more regulatory strategies.

Unlike the HL group, HH learners did not show a significant decline in the use of deep strategies when completing their assignments in Time 2. Overall these findings were in line with previous research, such as Valle et al. In terms of achievement levels, the median split analyses failed to find any significant result supporting the claim that endorsing multiple goals would be associated with a higher level of achievement.

Contrary to the prediction, the HH group did not have better scores in their assignments and examination results. Though the four groups did not differ in their achievement scores, the mean scores for the HH group were unexpectedly the lowest among the four groups. This intriguing finding was inconsistent with previous studies using similar student groups Ng, More research is needed to examine the relationship between achievement and goals. The inconsistency result calls into question the benefits of holding multiple goals and whether distance educators should promote them if they will not necessarily lead to higher achievement.

Following Pintrichit can be argued that different distance learner groups learnt through different pathways but arrived at a similar level of achievement. The HH group showed a highly engaged pattern characterised by strong regulation, deep learning, and high levels of interest and confidence. The HL group had a similar learning trajectory over the year except that they used less deep and regulatory strategies and had a lower level of interest.

In contrast, the LH and LL groups showed a rather disengaged pattern of learning over the academic year characterised by surface learning and low levels of regulation, interest and confidence. This multiple pathway argument alerts distance educators to different patterns of learning associated with different goal profiles.

It is in this specific context that the current findings support the promotion of multiple goals. Distance learners who learn with deep and regulatory strategies and consider the learning interesting and maintain a higher level of confidence are more likely to persist. It can be said that multiple goal learners are more motivated, though this may not necessarily lead to better results. During such highly motivated periods, these learners might have engaged intensively and strategically in order to complete the required academic tasks.

hl ll relationship goals

However, for most of the time during the academic year, they might be settled with a minimum level of motivation and engagement sufficient to get them through their courses. Another plausible explanation is that these two groups of learners might have relied on other forms of motivation to drive their learning. For example, Ng found that distance learners who held strong work-related goals had better performance than did those focusing on mastery and performance-approach goals, combined or separately.

The nonsignificant result between the HH and HL groups of distance learners in achievement levels prevents us from making a strong claim about endorsing multiple goals over the use of mastery goals. However, the current prospective study showed that multiple goals learners HH maintained a more engaged pattern of learning than did the mastery-only learners across three points of learning over an academic year.

Of course, the current findings warn us that holding a multiple goal profile does not necessarily lead to a better achievement level.

Further research on the effects of multiple goals on achievement among distance learners is still warranted. Finally, aligning with previous studies e. The current results need to be interpreted with the following considerations.

hl ll relationship goals

Further, Barron and Harackiewicz located significant effects of multiple goals on achievement using a sample of students enrolled in a single course. The current study, however, involved distance learners in diverse courses and therefore variation in assignment and examination grading processes in different courses may be another important factor that might have contributed to the nonsignificant difference in achievement levels between the four groups of goal users.

In conclusion, the current findings indicate that distance learners learn with different goal profiles that are associated with different learning patterns. An important finding in this study was that distance learners who endorsed both mastery and performance-approach goals engaged in deep learning using adaptive strategies consistently throughout an academic year.

These multiple goal learners remained interested in learning and had confidence in their learning abilities across three different survey points over the year. This finding is consistent with previous research using distance learners e.

Ng, and campus-based students e.

hl ll relationship goals

Given the associated engaged learning pattern, it is less likely for this type of motivated learners who persistently find learning interesting and remain confident about their abilities to drop out of their distance education courses and programs. While endorsing both goals may not necessarily lead to higher achievement levels, it is important to recognise that distance learners who learn with these goals are more engaged in their learning.

Future research needs to examine how these goals can be promoted in distance education courses and programs in order that distance learners remain motivated and persist with their learning. Achievement goals as measure of motivation in university students.

Contemporary Educational Psychology, 19, Achievement goals and optimal motivation: Testing multiple goal models. Journal of Educational Psychology, 80 5 Student approaches to learning and studying. Australian Council for Educational Research. Student perspectives in distance learning degree and certificate programs in public health. Journal of Public Management Practice, 7 1 The reflections of a distance learner Open Learning, 15 1 The interplay of mastery and performance goals in social comparison: Journal of Educational Psychology, 1 Open Learning, 15 2 Motivational processes affecting learning.

American Psychologist, 41 10 Approach and avoidance achievement goals and intrinsic motivation: Journal of Personality and Social Psychology, 70, Achievement motivation goals in relation to academic performance in traditional and non-traditional college students. Research in Higher Education, 38, Predictors and consequences of achievement goals in the college classroom: I'm confident that within 60 days, the start of the fourth quarter, you will not recognize Fire Creek and Hollister. We're changing how the operations in Nevada run.

We're taking people and equipment from the low-margin Midas mine and moving them to the high-margin Fire Creek and development work at Hollister so that we can get to the Hatter Graben. When I look at the former Klondex guidance in when -- at the beginning of the year, it was clear to me that Midas didn't make very much money. So we've confirmed that over the last 20 days that we've owned the mine and we implemented the wind down of it yesterday.

I expect, by September, we'll only be mining developed stopes until the end of the year. My trip last week emphasized that these assets could one day be like Greens Creek, Casa and San Sebastian. They're going to be able to generate margin, and they're going to have an extended mine life. This should not only improve our equity value, but also our credit metrics. Now let me change gears to the long-term -- to a long-term project. In Montana, the U. This allows for the evaluation phase to advance.

And Record of Decision is advanced in late August or September, with State approvals expected in a month or 2 later. And at Troy, a reclamation site we have in Montana, we are continuing with the long-term reclamation schedule, contrary to how some have portrayed things there, we're just reducing expenditures there until there's more certainty regarding permitting.

We have also updated our expectation forwhich you can see on Slide 4. In Nevada, we expect to produce 48, to 50, ounces over the 5 months of the year, and we're using 5 months because the acquisition closed on July For the Nevada operations, we think the fourth quarter will be stronger than the third quarter. We see the gold production from the Nevada operations in being considerably stronger once we get to tons per day at Fire Creek and that's up from tons.

I'll now pass the call to Lindsay to review our financial performance this quarter. As Phil said, we had good results in the second quarter, as you can see on Slide 6.

Gold cash cost and all-in sustaining cash cost, after by-product credits, both declined significantly. Moving on to our newly acquired Nevada operations on Slide 7. We are confident that we can execute and deliver on our financial plans, and they will be recognized by the markets, and potentially, in the form of a ratings increase to BB, which will put us in a good position to refinance the high-yield notes, particularly, by next May when the call premium goes to 0. Although, initially, until the banking syndicate completes the paperwork, i.

Essentially, we have restored the liquidity we had before we made the acquisition. As is our mantra at Hecla, all operations need to generate positive cash flows in their mine plans, and we expect Nevada will be no different. The Nevada assets are basically self-funding.

hl ll relationship goals

Also, we're pleased with our initial success towards capturing and realizing many synergies of integrating the operations and are working on various plans to achieve the remaining synergies in the months to come in areas such as financial systems, bonding costs for automation obligations, insurance, et cetera, savings that come from being combined with a bigger, stronger company such as Hecla. Some of those activities are depicted on Slide 7.

Greens Creek continues to be the dominant source of revenue for us. So in summary, we're starting to realize synergies with the acquisition of the Nevada operations.

Our credit rating is improving. We continue to generate cash flow from operations, and we have excellent silver cash costs and all-in sustaining cash costs, after by-product credits, and therefore, are optimistic about the potential for the rest of the year and beyond.

I will now pass the call on to Larry to talk about the operations. I've been in mining for 35 years.

Edited Transcript of HL earnings conference call or presentation 9-Aug-18 2:00pm GMT

And of those 35 years, half of it's been in Nevada. So tickled personally to be back in the Nevada, and I think it's a great move for Hecla. I want to walk you through some of our thinkings for the rest of on Slide The first priority is to get Nevada operations working as an integrated operation where we have 3 mines and 1 mill. As a coherent unit, we'll move personnel and equipment around under the direction of one Vice President and General Manager, Kevin Sheill, and we'll prioritize the resources in these operations to make the most profit.

As such, we're working on a unified mine plan and expect to ramp up production at Fire Creek and to begin development of Hatter Graben. We're ramping down Midas and moving personnel and machines as appropriate to Hollister and Fire Creek.

In the mill, we expect to complete the installation of the carbon screens and all the leach tanks providing a robust CIL process capable of processing the Hollister ore by the end of the year. We're also installing sampling equipment in the front-end of the mill to better reconcile each mine to the mill.

We continue with the tailings facility construction, and we're targeting year-end for its completion. In some areas of the mine, the road conditions are muddy, and our Vice President of Technical Services introduced an engineered road base, which includes a new water wick in geotech style that allows trucks to move through these areas. You can see the substantial improvement in this fabric and the aggregate that was imported and the improvement that was made for trucks to go through these areas.

The mud is only an issue in isolated areas, but conditions would get bad enough that machines will get stuck and would have to get towed out. You can see the dramatic improvement from the before and after pictures, which is why the on-site team called it [Magic Carpet] that Phil referred to earlier.

Within a couple days of closing, we had moved our shotcrete batch plant from the now closed Troy mine to Fire Creek. We will move idle shotcrete equipment from Midas to Fire Creek, so we can include shotcrete in the development cycle, reducing the need to go back and rehabilitate later, which was a problem for Klondex.

Drilling the development is a key to create value of Fire Creek. Klondex was not able to keep up with the development at tons per day.

And as we increase throughput to tons per day, we will need to do 15, feet of development per year.

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For reference, this is about half of the annual development at Casa Berardi. We expect the dam to be completed in November and fully functioning by December. The previous tailings facility is expected to be full by then. We continue to advance our work to transition the fans to ventilation on demand to utilize the teleremote LHDs and to implement computer-assisted jumbo drilling.

Slide 14, Casa Berardi had a great second quarter. Gold production was up 42, ounces, costs were down, capital spending declined as well. The mine is performing well and both grade and throughput were strong. The autonomous truck continues to impress in the drift as seen here on Slide And if you came to our mine tour in July, you would have seen how well it is operating.

In fact, the performance is already considerably better than we thought it would be, as you can see on Slide We can load the truck faster.